Business Analytics US Blog Posts

Business intelligence analysis has recently gained popularity due to the profiting relationship between data science and business. While we are familiar with how strongly business management is interwoven with data as the company produces loads daily, its consistent flow has become cumbersome for businesses to handle data without expertise. And that’s where business intelligence analyst skills come into play.  Following the raging data influx and its utilization across myriad fields, a report estimated that the business analyst market will continue to expand its market size from US$ 23.1 billion in 2020 to US$ 33.3 billion in 2025 at a 7.6% of CAGR! This would lead to enormous job opportunities and a variety of career paths that you can benefit from obtaining the right set of skills. But first, let’s understand what exactly the role entails.  In this article, we’ll look at a complete guide on how to become a business intelligence analyst in 2022. Let’s delve into it. Who is a business intelligence analyst? Business intelligence analysts or BI analysts understand the concept of both worlds, i.e., business and information technology. They lie in the middle area of both departments that are intertwined deeply. BI analysts have a firm grasp of both systems to bring the best of both worlds to the table. They have technical data mining as well as analytical skills that ensure efficiency in business. A BI analyst must be able to observe the market pattern and then implement some analytical skills to improvise the system, utilizing the raging data influx to bring valuable insights.  What is the role of a business intelligence analyst? Business analytics and intelligence professionals’ primary objective is to work through complex data structures and generate financial and market intelligence reports. They analyze the data and present strategies that could benefit a business’s future. They are also responsible for implementing market intelligence patterns redeemed through data into the business. They not only look for their own company but also keep an eye on the competition around them to stand out among the crowd. A typical job description for BI analysts looks like this- Scrutinizing and analyzing the financial data along with employment, labor cost, and revenue reports. Compiling all the researched data into one place to structure it and obtain valuable insights, which can be further implemented to create innovative solutions.  Strong collaboration skills between management and coworkers. Engaging with different departments and team members to gather the information needed for the company. Conducting meetings or seminars with stakeholders and managers to map out the strategy. Creating interactive presentations and comprehensive reports for the entire company so that each can understand the approach that has been implemented. Here’s how you can kickstart your business intelligence analyst journey! Step 1: Earn an undergraduate degree in the relevant field The first step to becoming a BI analyst is obtaining a relevant degree in the field. Undergrad degrees such as– IT, computer science, data science, business administration, economics, mathematics, or any other field would be a great starting point. These degrees are demanded from the candidate so they can have a basic knowledge of the area they’re getting into. This field provides them with thorough information about business, management, and data sciences. Moreover, you’re also required to have excellent SQL or Python skills along with knowledge of data visualization tools.  Step 2: Gain practical experience through internships Once you’ve earned the degree in a relevant field, the next step would be to experience real-world problems. BI analysts are expected to gain entry-level experience before attaining a full-fledged job. You can have essential practical experience through internship programs during your undergraduate. It will teach you real-life problems and how to implement IT into business. You’ll also get a chance to have hands-on experience with business reports, SQL, models, data analysis, and many other tools and techniques to boast your business intelligence analyst skills. Once you hone proficiency in teh fundamentals, you’re ready to move one step closer to your dream job.  Step 3: Earn a professional certification What would be best to shine among the crowd? Undergraduate degrees and internships will surely take you toward your ultimate goal of becoming a business intelligence analyst, but it is advised to have the edge over other candidates. Various certification courses, such as SL databases, Data analyst associate, data sciences, computer languages, and other related skill enhancement courses, enhance your skills. Additional certifications set you apart, helping you bag exciting opportunities.  Step 4: Become a Business Intelligence Analyst This step might come later because a full-time BI analyst role requires years of experience. It demands full skill development and significant experience in the relevant field. Apart from your undergraduate degree, internships, and certifications, you would still require 4 or 5 years of experience to obtain an entry-level job in BI. You can have supervisory experience with the company as a junior analyst or associated with project managers that can further prepare you for considerable roles.  Step 5: Earn an advanced degree As mentioned above, landing a role as a BI analyst requires a deep understanding of the field. It will either come from an advanced degree such as a master’s in business administration or computer science or 4 to 5 (minimum) years of work experience in the relevant field. You can also go for specialized advanced degrees according to your future objectives. Skills Required to become a Business Intelligence Analyst This list contains the most coveted skills for business analytics and intelligence professionals. Data Preparation: Data preparation skill is the most important skill required of a BI analyst, as teh foundation of data analysis is based on data preparation. An abundance of data needs to be collected, cleaned, and organized. To streamline the process, different data preparation tools, such as Microsoft Power BI, Alteryx, Tableau Prep, etc., can help you with the process. Data mining: The next biggest requirement for BI analysts is finding valuable data from the entire lot. You must know how to extract useful information from the bunch with the help of technologies such as rapid miner, Konstanz Information Miner, etc. You are also expected to have some understanding of machine learning, data analysis, statistics, data sciences, and other related fields. Statistical Analysis: Statics deal with components such as mean, median, mode, variance, etc., which come in handy when dealing with data. Other advanced terms, such as probability, combinatorics, random variables, etc., also assist while sieving through data structures. The tools associated with statistical analysis are– SAS, Pig, Hive, etc. Business Knowledge: The first part of this profile, business, signifies that the candidate should thoroughly understand how businesses regulate. This includes communication skills, presentation skills, leadership qualities, problem-solving capabilities, knowledge of market patterns, etc. Technical skills: Technical skills, including data security, data visualization, SQL and its variants, proficiency in ETL, cloud computing, data architecture, and other such tools, are necessary to hone for a BI analyst aspirant.  Business Intelligence Analyst estimated salary Business Intelligence Analyst is one of the most demanding jobs worldwide in STEM, with its demand growing across a variety of industries that wish to utilize the generated data flow.  Whether in technology, e-commerce, or healthcare industries, to extend better services for customers and maintain financial stability, more establishments are providing exciting opportunities to talented BI professionals.  The average salary of a BI analyst in the US is estimated to be $89,378, which is bound to grow as high as $117,580 with experience and skill set, making it one of the fastest-growing lucrative careers.  Aim for a Successful Career with upGrad With such high demand and an amazing salary package, upGrad allows you to secure your position as a BI analyst in one of your dream companies. upGrad provides its student with a Master of Science in Data Sciences from IIIT-B and LJMU faculties, giving them exposure to data-related tools and technologies. This course specializes in 14+ tools and languages, 25+ industry case studies and capstone projects, career essential soft skills, and a lot more. Register soon to kickstart your journey with upGrad! Learn Business Analytics Courses online from the World’s top Universities. Earn Master, Executive PGP, or Advanced Certificate Programs to fast-track your career. Conclusion The role of data among businesses is invaluable today and is bound to grow even more following its profitability and assistance to provide better customer service. In order to claim a place in this rapidly growing field, you must prepare yourself with the right set of BI analyst skills and experience. Start today to embark on a lucrative path that is in-demand and future-proof! You can also check out our free courses offered by upGrad in Management, Data Science, Machine Learning, Digital Marketing, and Technology. All of these courses have top-notch learning resources, weekly live lectures, industry assignments, and a certificate of course completion – all free of cost!

Business analysts bridge the gap between business strategy and business operations. They are instrumental in identifying opportunities, streamlining processes, and improving efficiency. A business analyst is someone who analyzes businesses to understand their potential for growth or problem areas. The role of a business analyst can be challenging as it requires you to take on different hats simultaneously. You will need to simultaneously act as a consultant, analyst, strategist, and facilitator to implement your ideas effectively.  In this article, let’s take a closer look at a business analyst’s different roles and responsibilities. What does being a Business Analyst entail? In simplest terms, business analysts collect and analyze data for use by business leaders. This aims to help managers make better decisions and produce more effective plans. Business analysts work with all company parts, from sales to marketing and finance to HR.  They also work with other departments, such as IT and accounting. Analysts usually work in an office setting during regular business hours. Business analysts are often called upon to forecast financial trends. They also put together reports about how businesses perform and make recommendations for improvement. In addition, they might design or help to create software programs used in the business. Business analysts also look at past issues in the business and the company’s competitors.  They try to identify weaknesses and strengths in these areas so the company can improve its performance. A business analyst might be responsible for a particular area of focus or have a general management role, supervising others producing the reports. Why are Business Analysts important for a business? Business leaders at all levels are expected to deliver with limited resources, limited time, and in highly competitive markets. This is a Herculean task, which means that decision-making needs to be accurate and actionable. The role of a business analyst is to make sure that the decision-making process is streamlined and that proper information is provided to facilitate decision-making.  Explore our US Business Analytics Programs from World's Top Universities Professional Certificate in Data Science and Business Analytics Master of Science in Business Analytics Business analysts serve as the communication bridge between different departments and stakeholders in the organization by providing clear and accurate information through appropriate channels and formats. The business analyst is responsible for gathering requirements and documenting them for the team and the stakeholders to understand. In addition, the analyst is responsible for recommending solutions to issues and problems causing bottlenecks in the organization. Check out our business analytics courses to upskill yourself Key tasks of a Business Analyst Now that we’ve understood the importance business analysts hold for an organization, you must be thinking of what exact roles and tasks business analysts do. Well, the answer to that question is a bit more complex than it might seem on the surface – simply because of the sheer multidisciplinarity of being a business analyst. Their tasks cover the entire spectrum of business operations and broadly include the following:  Analyzing Data- Business analysts collect and analyze data to understand potential problems and growth opportunities. They may look at numbers or read reports to discover issues and trends within the business. Afterward, they may use that information to create recommendations for handling those problems or taking advantage of those opportunities.  Gathering Information- Business analysts talk to different stakeholders to understand their needs and issues. They then synthesize this information to develop recommendations for addressing these issues or improving the situation. Communicating Ideas- After creating a plan of action, business analysts write reports and communicate their ideas to stakeholders. They also help stakeholders to understand the plan and how it will affect them.  Making Recommendations- Business analysts make recommendations about how to address issues. For example, if there is a budget issue, they may suggest changing the way the company does business or hiring more personnel. They may recommend creating more efficient meeting environments if there are communication issues. Key skills of a successful Business Analyst To carry out such a wide array of tasks successfully, business analysts need to be diverse in their skillset. They need to be able to wear and manage multiple hats simultaneously to get the best out of their work. For that, some of the key skills that are much needed for any aspiring business analyst include:  Analytical Thinking- The ability to look at situations from different perspectives and draw conclusions based on data is crucial for business analysts. Having this skill will allow them to understand the issues thoroughly and come up with the best solutions.  Critical Thinking- This skill is closely related to analytical thinking. It is the ability to identify shortcomings and come up with improvements. Having this skill will allow business analysts to create effective plans that are aligned with the company’s goals. Communication- The ability to communicate effectively is crucial for any job. However, it is particularly important for business analysts because they often communicate findings to a variety of stakeholders in the organization. Having the communication skills to effectively communicate findings and recommendations to a wide range of people will create buy-in for the plans created by the business analyst.  Time Management- This skill is important for every job. However, it is crucial for business analysts because they need to juggle a lot of different tasks. From conducting research to communicating findings, business analysts need to stay on top of their tasks to meet deadlines. How to become a Business Analyst? Business analysts require a bachelor’s degree in a business-related field, such as management or marketing, combined with business analyst certification. Employers also prefer candidates with at least one year of experience in business analysis. Entry-level business analyst positions generally require candidates to have an associate’s or bachelor’s degree in business management or a relevant field, such as marketing or computer science. Employers may also prefer candidates who have completed coursework in business analysis. Read our Other US Articles Related to Business Analytics How to Get Business Analytics Dream Job? What is Financial Analytics and Why is it Important? In conclusion The job of a business analyst is truly rewarding and satisfactory. You get to work with intelligent people from all over the organization, making your day-to-day tasks more exciting and allowing you to learn and grow even more. Further, the direct impact that you will be having on your organization as a business analyst is a reward of its own. Needless to say, many professionals from across different domains are moving to business analysis as a viable career option. At upGrad, we have mentored and guided many such students and professionals from around the globe and helped them reach their destinations. In order to add more value to your business analyst resume, upGrad’s Business Analytics Certification program is an excellent option for upskilling and also helps in enabling candidates to gain in-depth knowledge of business analytics like managing data structures, business intelligence, and performance management. The course will also teach you necessary business analytics skills like MySQL, Excel, Hadoop, MapReduce, and more. To know more about the course, talk to our experts today!

Business analysts bring positive organizational changes by analyzing needs and vulnerabilities to create the best possible solutions. Business analytics techniques are the processes used to create and execute plans to recognize an organization’s requirements and deliver the best outcomes accordingly. Moreover, these processes extract commercially critical information that improves business performance. These techniques are not identical for all businesses. The reason is every organization or business has unique requirements. Moreover, these techniques may not be used all through the project. They can apply to a project’s particular phase, for example, the initial or completion phases. A reliable business analytics technique helps you to perform the following functions efficiently: Track and manage business requirements Thoroughly explain the requirements Model these requirements wherever applicable Work together with stakeholders and team members A business analyst (BA) must be familiar with various key business analysis techniques that can improve business effectiveness. But with plenty of tools and techniques, the choice can be difficult. Best Business analytics techniques 1. Business Process Mapping (BPM) BPM is one of the best business analytics techniques for understanding a procedure. It answers questions like how a business process is completed and who gets involved. Commonly, BPM is used as a tool in the initial stages of a project to understand the actions the organization takes now. Moreover, this technique suggests how an organization must operate. BPM strategy demonstrates how the business operation’s process will move forward based on different roles. Individuals using it don’t have to worry about predicting the successive steps of the execution process. Consequently, this technique streamlines complex business analysis. Being a BA, you embark on the following roles in a Business Mapping Project: Strategic planning Analyzing Business Model Outlining and configuring business process Technical analysis of those business solutions that may seem to be complex With the BPM technique, you can efficiently handle all these roles. 2. Data Mining Data mining for business analytics is known as an analytic technique that examines data, usually massive business-centric data sets (also called “big data”). The unique aspect of the data mining business intelligence technique is that it performs a thorough analysis in search of commercially important insights, links, or trends between variables that may help enhance the performance.  Specifically, this technique proves advantageous when handling substantial data sets from which you aim to extract insights. Therefore, implementing this technique has streamlined data mining and business intelligence tasks. 3. Data Mapping This technique maps how data flows throughout an organization. It can prove helpful as a sole reference for data that depicts how information from a data framework connects to that from another data framework. Defining the requirement for mapping allows you and your team to keep away potential threats to the venture or the situation that may arise in future development processes. The Data Mapping technique is implemented as a preliminary step for different data integration tasks, including transforming or arbitration data among its source and destination. This technique is also used in a venture’s analysis and design stages that want updates aligned to what, how, and where information is to be stored. It can be done to enhance programming. Furthermore, the Data Mapping technique guarantees that the information recorded at the system’s front is aligned with the information conveyed to the stakeholders. Specifications for this technique are helpful in those projects that follow: Migration of Data: Data source gets transferred to some new data destination. Integration of Data: Data source gets transferred to a destination on a specific time interval (hourly or monthly), and both data sources don’t have to adopt a universal data model.  Both these projects may sound identical. The fundamental difference between the two is that in ‘Migration of Data’, after data migration, the process is accomplished and the initial data is never again used or stored.  In ‘Integration of Data’, the process is accomplished after the data integration takes place; however, the two sources are retained. 4. SWOT Analysis The SWOT (Strength, Weakness, Opportunities, Threats) is a detailed analysis performed by a business analyst considering the internal factors (Strength and Weakness) and external factors (Threats and Opportunities). It is a four-quadrant analysis in which business analysts position the data as the answer for every quadrant. They answer the questions placed in each quadrant. SWOT Analysis is one of the versatile business analytics techniques. This is because it can be employed at any stage of the business project. Explore our US Business Analytics Programs from World's Top Universities Professional Certificate in Data Science and Business Analytics Master of Science in Business Analytics 5. MOST Analysis The term “MOST” stands for Mission, Objective, Strategy, and Tactics. Using this technique, the business analysts analyze the organization’s actions and plans to accomplish the goal. Moreover, it analyzes an organization’s actions to maintain strategic orientation. Therefore, MOST analysis thoroughly understands an organization in terms of its goal and abilities. Let’s understand each element of this analysis. Mission: Known as the critical element for organizations, it defines its purposes and goals to be achieved. If the organization has a clear mission, it becomes easier to analyze and determine the remaining factors. Objectives: They are the collection of goals that accumulates as a result of the organization’s mission. Objectives should follow the S.M.A.R.T approach, i.e., S: Specific M: Measurable A: Achievable R: Realistic T: Timely Strategy: This element denotes an organization’s actions to fulfill the objectives and achieve the mission. A group of tactics creates a strategy. Tactics: They are the distinct methods that an organization works on to fulfill its strategies. They ensure that an organization maintains focus on the mission, which is the critical factor determining organizational success. Check out our business analytics courses to upskill yourself 6. Brainstorming Brainstorming specializes in team sessions and is one of the best business analytics techniques for business analysts. It focuses on making a creative strategy for arranging a meeting to explore ideas and underlying issues and advising answers for those issues. Moreover, it facilitates innovation for other techniques of business analysis. This technique encourages various phases a venture can attain, from differentiating partners to suggesting the requirements. It is inevitable during the beginning stage and at all those points where the venture is at a dead end. It aims to explore different new concepts and understand the subjects for detailed analysis. Thus, it is one of the most potent techniques in nearly all developing phases of a venture. Moreover, Brainstorming encourages less innovative partners to think creatively and induces innovativeness. 7. Use Case Modelling A Use Case Modelling technique pictorially demonstrates how the business functions must work in a projected system via user interactions. Primarily, it is used in the software development project and during the design phase to convert business requirements into functional specifications in any current development project. Various tools used to draw the UML diagrams are IBM’s Rational Rose, Microsoft Visio, etc. This technique’s key components illustrated in a UML diagram are: System Use case Actors Association Stereotypes 8. Investment Appraisal Business analysts may have to go through the project’s financial aspects like assessing the profits, expenses, costs, and payback periods. The investment Appraisal technique allows them to better understand the funds needed for the project’s every stage. It also determines whether building ahead with the project is valuable or not, depending on the values delivered. The two key estimating strategies used in the Investment Appraisal technique are Payback Calculation and Discounted Cash Flow. They are explained below: Payback Calculation: It is less complex than the Discounted Cash Flow strategy. It is often used to estimate project development or transformation income. Discounted Cash Flow: Also recognized as the Present Net Value, it evaluates the monetary time value. It ensures that all money streams are well-adjusted for inflation and various elements. 9. Non-functional Requirement Analysis It is used when a technology solution changes. For instance, migration from one technology to another will carry out builds from scratch. When using this technique, business analysts primarily focus on data storage requisites and system performance to determine the performance factors of the projected system for the live data. This technique is used during a project’s ‘Analysis phase’ and executed during the ‘Design phase’.  Moreover, it works on performance, Security, Logging, and Reliability. Without this technique, attaining an intended result is pretty impossible. Read our Other US Articles Related to Business Analytics How to Get Business Analytics Dream Job? What is Financial Analytics and Why is it Important? Conclusion All these business analyst techniques thoroughly analyze a business’ requirements to ensure it effectively reaches its goals. They streamline business operations after thoroughly evaluating and guiding effective actions. Embark On Your Business Analytics Journey With UpGrad In order to add more value to your business analyst resume, upGrad’s Business Analytics Certification program is an excellent option for upskilling and also helps in enabling candidates to gain in-depth knowledge of business analytics like managing data structures, business intelligence, and performance management. The course will also teach you necessary business analytics skills like MySQL, Excel, Hadoop, MapReduce, and more. To know more about the course, talk to our experts today!

Introduction Every organization wants to scale its operations, earn greater revenues, get more customers, and stay ahead of its competitors. Companies are constantly investing in new technologies and talented workforce to grow. One way leading companies can succeed is through the right use of data. Businesses rely on the power of conversion of scattered data into structured form to gain a competitive advantage. This role is performed by skilled professionals called business analysts who assess the business requirements, analyze data, and offer solutions. The demand for skilled business analysts is constantly increasing in the US market. It is the best time to build a career as a data analyst. If you are planning on pursuing the same, the most important thing you need to focus on is a business analyst resume. This blog provides you with business analyst resume samples for different levels. Who is a Business Analyst? Before you start building a resume for a business analyst position, you must know what business analysts do or what companies look for while hiring business analysts. This will help you understand the relevant skills and experience you need to add to the resume to increase your chances of getting a job. Here are the key responsibilities of a business analyst. Analyzing business models to improve business processes and enhance the efficiency of business operations. Conduct research and use data modeling techniques to streamline business processes. Communicate with different stakeholders across various functional units of the organization, and prepare monthly status reports. Create management plans for various projects and facilitate effective communication across various teams. What to add to the resume of a business analyst? You can draft a business analyst resume from scratch in Google docs or MS Word or choose a simple and neat resume template. Another option is to find a good resume builder website online and add your details for a customized resume. Here are the important sections that must be present in the resume of a business analyst. 1. Career Objective/Professional Summary Once you add your name and contact details to the resume, you can start with the first section, the objective or professional summary. A 2-3 line career objective is more relevant for freshers or professionals with a few years of experience in business analytics. The objective section helps an organization understand your career goals and decide whether your plans align with the organization’s growth. On the other hand, a professional summary is the gist of your entire business analyst career. It serves as an elevator pitch explaining how you will be the right fit for the role. This section is optional. You can directly start with the work experience after adding your name and contact details in the resume if you don’t want to add a career objective or professional summary.  2. Education After the career objective or the professional summary is the education section. The education section is more relevant for freshers. It is to inform the recruiter about your qualifications. You can skip it if you are a business analyst with years of experience.  If you are adding the education section, keep it as brief as possible. You don’t necessarily have to add your schooling details. However, adding an undergraduate or postgraduate degree in business management or analytics is essential. You can also add additional business management courses that you might have done. 3. Work Experience This is the most crucial part of your resume that helps you get shortlisted for a job. You must add specific tasks done in your previous roles rather than adding broad or vague experience. For instance, you can add specific results you achieved through data analysis rather than mentioning that you provided data-driven business solutions. It’s even better if you add figures and statistics to show how you delivered results in your previous roles. Another important thing to remember is that you must avoid adding too much jargon to your resume, as it can get rejected by an ATS tracker.  4. Skills One of the essential sections of your resume is your skills. You need to add technical and soft skills to your resume to get a job. Here are some of the necessary business analyst skills for a resume. Research Data Analysis Business Process Models MySQL Financial Documentation Programming languages like Python and R Data Visualization Data Mining 5. Projects Lastly, you need to add any relevant projects or case studies that you might have done in business analytics. It increases your chances of getting a data analyst job. Make sure to add your learnings from the projects instead of simply stating the details. Explore our US Business Analytics Programs from World's Top Universities Professional Certificate in Data Science and Business Analytics Master of Science in Business Analytics Sample Resume of a Business Analyst  Here are some examples of work experience, objectives, and professional summaries you can add to the resume of a fresher business analyst, manager, or vice president. Business Intelligence Analyst Resume Sample Objective: Technically-minded business intelligence analyst with 4+ years of experience in big data crunching seeking a position at XYZ consultancy to advance strategic initiatives and expand the organization’s business operations. Work Experience: Collaborated with cross-functional teams to develop integrated information delivery solutions by identifying relevant data sources and extracting and sorting information. Worked on redesigning the organization’s strategic approach to billing and increased revenue by 14%. Check out our business analytics courses to upskill yourself Resume of a Business Analyst Fresher Objective:  Technically-minded business intelligence analyst with 3+ years of experience in big data crunching seeking a position at XYZ company where I can apply my management experience and problem-solving skills. Tenacious business analyst seeking a business analyst position at ABC IT solutions where I can polish my computer programming and project development skills. Work Experience: Assisted in creating advanced Excel models to analyze the company’s performance and predict revenue over the period of one year. Assisted in data conversion of 15+ customers. Resume of a Business Analyst, Senior-level Professional Summary: Senior business analyst with 7+ years of experience in data mapping and providing technical solutions to operational needs in a demanding environment. Dedicated team leader that brings forth excellent product management skills and drives productivity. Work Experience: Effectively implemented customer service processes which resulted in reducing customer complaints by 15% and increased customer engagement by 25%. Performed comprehensive analysis of business development initiatives and provided solutions that boosted revenue by 15.4%. Resume of a Business Analyst Manager  Professional Summary: Business Analyst Manager with 10+ years of experience in the fintech industry. Experienced in leading functional teams using agile methods and managing projects by building methodologies and implementing business strategies. Work Experience: Addressed service and performance issues by acting as a liaison between application development, technical, and business development teams. Solved medium and high severity business problems by performing root cause analysis and interfacing with different levels of management. Executed project lifecycle by performing scope definition and quality assurance testing. Incorporated SQL Queries into reporting tools for different purposes, including vendor cost analysis and metrics reporting. Resume of a Business Analyst Vice President Professional Summary: Business analyst with over two decades of experience in delivering effective data-driven solutions in the software development life cycle. Possesses skills like system integration testing, analyzing user requirements, and functional specifications. Work Experience: Led the Business Development team and implemented strategies to meet the quality testing requirements for the business. Collaborated with various business stakeholders to understand the requirements of the business and facilitate business readiness and access control. Prepared comprehensive business requirements documents, including proprietary product codes and standard vendor reports. Read our Other US Articles Related to Business Analytics How to Get Business Analytics Dream Job? What is Financial Analytics and Why is it Important? Conclusion Business Analyst is one of the fastest growing careers in the US. According to the Bureau of Labor Statistics, there are 900,000 management analyst jobs in the US. It is also predicted that management analyst jobs in the US will increase by 14% from 2020-2030. The growth rate for this sector is higher than average for all other occupations in the US. Therefore, if you are intrigued by business management, and want to become a business analyst in the US, now is the right time to kickstart your career. You can pursue a bachelor’s or master’s degree in management, learn the necessary skills, and create an impressive resume to get a job or an internship with the Business Analytics Certification course on upGrad. The course teaches essential business analysis tools like Hadoop, Hive, MapReduce, MongoDB, MySQL, and Python. To know more about the course, talk to our experts today!

Prescriptive analytics is the key concept behind many machine-controlled systems and allows advanced knowledge to be amended into easy selections. It is now easier to control collected information to empower real business value owing to the precise amount of data now available to the companies. But it can be challenging to recognize the best approach to analyze specific data. One of the best options is to use prescriptive analytics to help your business determine data-controlled strategic decisions. Also, prescriptive analytics help you get rid of the limitations of standard data analytics practices, including: Running through valuable resources on housing data that doesn’t advise business decisions Spending time scrutinizing unused data sets Losing unique revenue streams and insights Prescriptive Analytics Definition: As per the prescriptive analytics definition, it is a process that analyzes data and offers immediate recommendations on ways to optimize business practices satisfying multiple predicted outcomes. It takes data as input and broadly understands it to suggest predictions on what could happen. Also, it suggests the best steps to be taken depending on the instructed simulations. Prescriptive analytics is the final tier in contemporary computerized data processing. It uses identical modeling structures to predict outcomes and combines business rules, machine learning, artificial intelligence, and algorithms to simulate different approaches to the numerous predicted outcomes. Lastly, it advises the optimal actions to optimize the business practices. So, it finally explains “what should happen.” Prescriptive analytics eliminates the speculation of data analytics. For marketers and data scientists, it proves to be time-saving. This is because it understands the meaning of its data and determines what dots should be connected to provide audiences with a beneficial and highly personalized user experience. Though prescriptive analytics appears small-scale at the moment, it is steadily evolving over the years as Artificial Intelligence (AI), and machine learning becomes more accessible. Examples of Prescriptive Analytics Prescriptive analytics benefits the healthcare industry, banking, travel, manufacturing, marketing, online learning, and many more. Here are a few examples of Prescriptive Analytics in several widespread sectors:  1. Use of Prescriptive Analytics in Hospitals and Clinics: One of the best prescriptive analytics examples is its use in the healthcare sector. Hospitals and clinics use prescriptive analytics to enhance the outcomes for patients. It uses healthcare data to assess the profitability of different processes and treatments. Moreover, it can assess the official clinical methods. Explore our US Business Analytics Programs from World's Top Universities Professional Certificate in Data Science and Business Analytics Master of Science in Business Analytics Prescriptive Analytics can investigate which hospital patients have the maximum risk of re-admission. Based on this analysis, it instructs healthcare providers to keep the re-admission to the hospital or emergency room at bay. 2. Use of Prescriptive Analytics for Airlines: Prescriptive Analytics helps airlines’ CEOs maximize their company’s profits. It automatically modifies ticket prices and accessibility depending on weather, customer demand, and gasoline prices. For example, the Prescriptive Analytics algorithm can analyze whether the current year’s Christmas ticket sales from New York to Los Angeles are lagging or leading compared to last year. Based on this analysis, it automatically lowers prices while also considering the higher fuel prices. 3. Use of Prescriptive Analytics in Banking, Financial Services, and Insurance (BFSI): You can find various prescriptive analytics examples when it comes to financial institutions. These institutions can propose Prescriptive Analytics algorithms for managing risk and cost-effectiveness by scrutinizing historical trading data. Certain insurance companies also use risk assessment models to offer better premium information regarding insurance policies for clients. Check out our business analytics courses to upskill yourself 4. Use of Prescriptive Analytics in manufacturing: Big production machines can have a broad range of minor changes. Price prediction is inevitable to tackle these changes. Prescriptive Analytics can accurately predict current production, material handiness, power consumption, and more. It can also help optimize productive capacity, conforming to the delivery schedule and consolidating final assembly lines. Manufacturers can use Prescriptive Analytics to model prices on different factors like storage, production, and discoveries. It helps determine the optimum settings to boost yield without compromising efficiency. 5. Use of Prescriptive Analytics for sales and marketing: Prescriptive modeling is a mathematical process that benefits brands aiming to reinforce their marketing techniques. It can help run promotional campaigns and predict the customer interests and segments’ consumption. 6. Use of Prescriptive Analytics in Supply Chain and Logistics: Prescriptive Analytics is essential for route optimization in the Supply Chain industry. Generally, logistics companies use it to avoid logistical issues like improper shipping locations. They use Predictive Analytics for improved route planning while saving time, money, and resources. 7. Use of Prescriptive Analytics to improve business efficiency: Prescriptive analytics ensure businesses can save time and use data to develop a process that will make them stand out from their competitors. Business efficiency significantly increases with the use of Cloud-based prescriptive analytics tools. 8. Use of Prescriptive Analytics in creating Data governance strategy: Prescriptive analytics also permits a degree of caution from the viewpoint of ethics. For example, generating automated recommendations or decisions depending on a computer’s student data analysis can raise questions about privacy and impartiality, such as– Do learners provide consent? Who can access the data and results? The learner’s predictions can be inaccurate if the collected data is not entirely precise. This can lead to wrong decisions or recommendations about the learner. A data governance strategy can be implemented, and the prescriptive analytics models can be used to emphasize validation. 9. Examples of prescriptive analytics in online learning: Prescriptive Analytics is extensively used in specific learning management systems (LMS) and learning technologies. The following points clarify how it enhances online learning: Certain online learning tools use prescriptive analytics to recognize the content learned. These tools present content yet to be mastered. So, it is one of the best prescriptive analytics examples of exploring adaptive learning. Certain LMSs allow administrators to define the specific rules for actions or automated feedback to happen. For example, if an employee is about to finish a training course, the system may recommend them to go through various resources to acquire the skills required for the previous course. Certain LMS promise reduction of the training time for employees by acknowledging previous knowledge and proficiency baselines. They aim to recommend resources or training courses that best suit the learners. Other common examples demonstrating Prescriptive Analytics: Prescriptive analytics can evaluate whether a local fire department should need residents to empty a particular area when a wildfire is burning around. It can predict whether an article on a specific topic will be popular among readers depending on data about people’s search results and social sharing of relevant topics. It can adapt a worker training program in real-time depending on how the worker responds to each lesson. Read our Other US Articles Related to Business Analytics How to Get Business Analytics Dream Job? What is Financial Analytics and Why is it Important? How does prescriptive analytics work? Generating recommendations or automated decisions need unique algorithmic models. It also needs help from the analytical technique to get a clear direction. A recommendation or decision can be generated only after knowing the problem and its solution. Consequently, prescriptive analytics begins working with a problem and generates recommendations or automated decisions for accurate prediction. Example explaining the working of Predictive Analytics: An organization’s training manager can use predictive analysis to discover that most learners without a specific skill can’t complete a particular course. In this case, prescriptive analytics can suggest actionable strategies. The corresponding algorithm can identify the learners who need that course but lack specific skills. Subsequently, it provides an automated recommendation that they must take up an additional training resource to learn that missing skill. The quality of data and the algorithmic models developed are directly proportional to the accuracy of a generated decision or recommendation. The strategy that works for a company’s training requirements may not be useful to another one. So, it is recommended to tailor Predictive Analytics models for every requirement uniquely. Latest Prescriptive Analytics Software and Tools Improvado Alteryx Tableau RapidMiner Sisense Birst Knime AIMMS Talend Looker Get Started With Your Business Analytics Journey With UpGrad: In order to add more value to your business analyst resume, upGrad’s Business Analytics Certification program is an excellent option for upskilling and also helps in enabling candidates to gain in-depth knowledge of business analytics like managing data structures, business intelligence, and performance management. The course will also teach you necessary business analytics skills like MySQL, Excel, Hadoop, MapReduce, and more. To know more about the course, talk to our experts today!

Introduction A business analyst is one of the most popular careers in the US today. The Bureau of Labor Statistics predicts that business analyst jobs in the US are on their way to experience and increase by 14% from 2020 to 2030. An increase in demand for business analysts means intense competition in the market. You must make a cut for yourself with comprehensive knowledge, the right skills, and relevant experience to become a part of the race.  Creating an impressive business analyst resume is the most crucial thing you need to focus on to advance in your career. A well-curated resume gives an insight into your experience and skills and helps recruiters decide whether you will be an ideal fit for the role. Resumes can make or break your chances of securing an interview and the business analyst job, especially for freshers.  This article helps you understand the step-by-step process of creating a business analyst resume. How to Write a Business Analyst Resume? Creating a resume is tricky, especially for freshers. You will have to learn what to add and how to add it. Experienced professionals also face difficulty writing detailed resumes that can capture their strengths relevant to the job description. Here is how you can create an impressive business analyst resume. 1. Select a template:- The first step to writing a business analyst’s resume is finding a suitable resume template. You can download business analyst resume templates online and edit them to add relevant information. You can choose one of three resume templates; reverse-chronological, functional, and combination. A reverse-chronological resume mentions your work history in reverse order. A functional resume is for professionals with decades of experience. It focuses more on skills rather than work experience. A combination resume is a mix of both reverse-chronological and functional resumes. It highlights both skills and work experience. A combination business analyst resume is better suited for professionals with 2-3 years of experience. 2. Add headings:- Once you select a template, you have to add different sections. The following are the various headings you must add to your resume. Name and Contact Details Your name goes on the top of the resume in bold. It should have a bigger font than the rest of the text in the resume. Add your email id, phone number, and LinkedIn profile link below your name. (Your Name) (Email id/Contact number/LinkedIn URL) Career Objective  An objective is a 2-3 lines statement where you mention your prior professional experience and what you are seeking at other job organizations. You can mention both short-term and long-term objectives. Here are some examples of objectives for a business analyst resume: “A business analyst with over five years of experience in the IT sector seeking the position of a senior business analyst at VyomaTech, where I get an opportunity to implement strategic business process modeling and other skills.” “Seeking a business analyst position at Realty Tech Firm, where I get an opportunity to use data analytics to bridge the gap between IT and the business and deliver data-driven solutions.” Explore our US Business Analytics Programs from World's Top Universities Professional Certificate in Data Science and Business Analytics Master of Science in Business Analytics Education:- Mention your educational qualifications after the objective section. This section is more relevant if you are a fresher and don’t have much work experience. However, if you are an experienced business analyst, you can remove the education section or add it to the resume’s bottom, above the skills. Work Experience Your work experience or internships cover the major part of your resume. It includes the key responsibilities you have performed at other organizations. This section highlights your experience and leadership skills. You have to mention the name of the organizations you have worked for, your job title, and the duration of work, followed by your key responsibilities in bullet points. Work experience is added in reverse-chronological order. Your most recent work experience comes first, and the initial jobs are added towards the end. Here are some examples of work experience that you can add to the resume: Check out our business analytics courses to upskill yourself A. TripleWorks, New York (March 2016 – March 2022) – Senior Business Analyst Used Agile Scrum Methodology to implement business strategies and increased customer satisfaction by 35%. Identified process bottlenecks and developed strategies to overcome inefficiencies in product management. Drafted annual reports based on financial metrics to analyze deficiencies in management. B. Cache Technologies, New York (April 2013 – February 2016) – Business Analyst Associate Identified product management challenges and collaborated with the technical team to devise software solutions for the organization. Streamlined data analysis process by using open source Python and SQL languages. Conducted activity-based analysis of different business processes and suggested improved policies. Certifications Certifications are not necessary for a business analyst’s resume. However, popular courses in business analytics can add value to your resume and increase the chances of selection. You can add a separate certification or extra course sections in the resume. Mention your learnings in bullet points. Skills You must add popular business analyst skills to your resume to make your candidature stand out. Skills can be added in a separate section at the end of your resume. You can also highlight how you have used business analyst skills by adding bullet points under work experience. The following are the most relevant business analyst skills for a resume: SQL Data Analysis  Data visualization and warehousing Process Mapping Product Innovation Tableau  Microsoft Excel Google Docs Risk Assessment Analytical Thinking Problem-solving 3. Formatting business analyst resume:- Once you have finished writing the resume, you need to do the formatting. You should use a simple font for the text like Calibri or Arial. The headings can be in font size 12, and the bullet points must be in font size 10. You can highlight important parts with bold or italics. Make sure the space between different headings is uniform, and the text is justified. You should use the same font throughout the text and keep a 0.5 margin on both sides. 4. ATS compliant resume:- Adding relevant keywords to your business analyst resume to make it ATS compliant is of paramount importance. ATS (Application tracking system) is software that scans and automatically filters resumes before it reaches the employer. The software approves resumes with relevant keywords mentioned in the job description, proper formatting, and resume length. It means that if your resume is poorly drafted and not ATS compliant, it will be automatically rejected by the computer system. No matter what skills or experience you have, the system will reject your application, and you will not be able to get the job. Most companies in the world use ATS software to filter job applications. You can follow the below-given tips to make the resume ATS-friendly. Choose a simple business analyst resume template because the software is more likely to reject fancy documents. You must add relevant keywords to your business analyst resume that align with the job description. Examples are business processes, business optimization, market research, and analyzing reports. You can look for a few business analyst job descriptions and pick important words. You should not add graphics or charts to your resume. A few business analyst resume samples might include a picture or your signature. However, you should avoid using such samples because the ATS cannot understand images or graphics and will reject the resume. You should keep the file format simple. It is better to use PDF, Docx, or Doc format for your resume. The software hardly recognizes other file types. Proofread:- Grammatical and formatting errors in the resume can leave a bad impression on the employer. Therefore, you must proofread the resume several times after writing it. You should also ensure that the formatting is in place after downloading the document in PDF or doc form. Customize the business analyst resume:- Each organization has a separate set of skills and work experience requirements for a business analyst job. You cannot send the same business analyst resume for all job opportunities. It is necessary to send tailored resumes for each job. You need to read job descriptions carefully and mention the points in your resume. This increases your chances of securing a business analyst job. Read our Other US Articles Related to Business Analytics How to Get Business Analytics Dream Job? What is Financial Analytics and Why is it Important? Conclusion The easiest way people create a business analyst resume is by picking a business analyst resume sample available online and editing it. However, the ATS software often rejects such resumes because of improper formatting, lack of relevant keywords, and other factors. You do not have to start writing the resume from scratch, necessarily. You can pick a template and edit it. However, the objective and work experience should be original. It is also crucial to customize your resume for different job applications by adding the required skills and experience for the job.  In order to add more value to your business analyst resume, upGrad’s Business Analytics Certification program is an excellent option for upskilling and also helps in enabling candidates to gain in-depth knowledge of business analytics like managing data structures, business intelligence, and performance management. The course will also teach you necessary business analytics skills like MySQL, Excel, Hadoop, MapReduce, and more. To know more about the course, talk to our experts today!

Business organizations face cutthroat competition to maintain an edge over their competitors and become more successful. Business analysts play an essential role in an organization running sound financial assessments toward effective business decisions. Their valuable suggestions to businesses drastically improve operations, from integrating suitable tools to planning new processes. Therefore, it is pretty understandable that data analysts are becoming indispensable.  It is important to note that a business analyst’s salary for beginners is lucrative, which is bound to grow further with experience. This article will discuss business analytics salary at every level in detail.  Average business analyst salary in the USA The average salary business analyst salary in the USA is approximately $65,471 per annum. As per data, most analysts earn cash bonuses along with their wages. The amount of cash bonus is roughly $2,500 annually.  Experience is greatly considered while ascertaining the salary of a candidate. This stands true for business analysts as well. The salary of a fresher business analyst will be lower than a senior business analyst’s salary.  Mentioned below is the annual average salary of a business analyst based on experience in the relevant industry: Less than 1 year – $62,052 3 – 5 years – $69,339 More than 10 years – $77,501  Source Location-Based Business Analyst Salary Location plays a significant role in deciding business analytics salary. Some regions in the USA offer higher salaries to business analysts compared to other areas with the same experience and expertise level. Location considers the cost of living and assigns the salary based on it. For the same reason, many analysts prefer shifting to regions where salaries are high. For instance, in Massachusetts, New York, and the District of Columbia, business analysts’ salary is the highest, roughly reaching $95,266 annually. In contrast, various regions have a salary below $82,169 annually or just above it.  While everyone can’t shift locations to improve their salary, you can look for ways to upgrade your skillset or increase your experience to aim for a better salary package.  Comparative Business Analyst Salary in the USA This section will discuss the average salary of a business analyst in the USA, depending on industry experience. Our focus will be on conservative salary estimates to know the average salaries. However, if anyone has good negotiation skills, the salary might increase despite fewer experience years.  Salaries of entry-level/fresher business analyst You must have an undergraduate degree to kick start your business analyst career. If your degree does not cover statistics or data-related courses, you will have to get a certification for fundamental data analytics skills. Basic knowledge of statistics, Python SQL, advanced Excel, and some understanding of common enterprise IT systems are preferred for the role.  An entry-level business analyst’s salary in the USA ranges around $60,540 annually, as per a conservative salary estimate which is considerably beyond the real median income of the country, which is around $36K.  At this level, you must focus on honing your presentation skills and working on project management knowledge to bag a business analyst role in any reputed organization. Salaries of mid-level business analyst A mid-level business analyst earns anywhere between $77,521 annually in the USA. At this stage, the analyst will be able to carry out different data-related activities. The candidate will also possess solid knowledge of AI algorithms and other data engineering tools.    Working in this industry gives abundant knowledge to data analysts. However, candidates must focus on improving their communication skills at this stage, as it is imperative for financial modeling and incorporating strategic planning in work. You might also have hands-on experience with different aspects of process engineering. This is the perfect stage for building up your career as an expert data analyst if you are ambitious.  Salaries of senior-level business analyst As per a conservative estimate, senior business analyst salary in the USA is at around $87,162. This entirely depends on expertise levels, experience in the industry, and negotiation skills.  Generally, when business analysts gather substantial experience, they move to other data-related arenas. Business analysts are free to take up other data roles like data science for better earning potential or can concentrate on specific business verticals like finance or IT.  Salaries of expert business analyst Your expertise and opportunities grow with the number of years you devote to the industry, winning you a lucrative salary and the title of being an expert business analyst. As an expert data analyst, you will figure out project goals, characterize projects’ scope, implement plans, sort out details, instruct everyone required, and finally show them outputs. The entire charge is on the data analyst, making it a highly responsible position. The average yearly salary for an expert business analyst is approximately $91,616 Get Business Analytics Certification from the World’s top Universities. Learn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. Salaries of business analyst consultant The business analyst consultant position requires around 10-15 years of industry experience. As a business analyst consultant, you will be able to check, survey, and measure explicit business frameworks and understand how these will benefit the organization through years of accumulated experience.  As a consultant, you will be the top-level authority of your department. All inquiries of the employees of the relevant department will be forwarded to your direction.  It is estimated that the average annual compensation for a business analyst consultant can be around $98,800.  Proven Methods to Increase Business Analyst Salary These are proven and tested methods to increase your salary as a business analyst and obtain more opportunities.  More experience – The mentioned salary structures imply that more experience brings more lucrative opportunities. Your salary growth is directly proportional to your experience in this industry. Work experience considers the years dedicated to the job and how precise you are at your work with expansive knowledge. An experienced business analyst can easily locate issues quickly, thus, resolving them quickly. Their suggestions will benefit the organization in all aspects.  Certification – A certification course in business analytics is a sure-shot way to receive monetary growth from the company implying your practical finesse in in-demand skills and an active interest in the field. Reports show that candidates received a hike of almost 11-12% on their salaries after completing a certification course in Business Analytics which can often go higher with advanced levels.  Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully Size of the company – Freshers are recommended to start from a small company and gather as much experience and expertise as possible. Then you can leap and jump to a larger company, where you will have a handsome increment of almost 10-12%.  Conclusion This article covers a fair share of the business analytics world, business analyst salaries, and the opportunities offered in the USA-based analytics industry. It is also clear that your job title, level of data analytics skills, experience in the industry, and job location are major factors that influence your business analytics salary. Business analytics continues to be one of the most sought-after professional courses. So, gain as much proficiency as possible to bag lucrative job opportunities.  Give your business analyst salary a boost with upGrad The number of business analyst aspirants has risen steeply over the years. An increasing number of organizations seek business analysts to make effective and financially viable business decisions.  One of the best ways to boost your career is to take up a Business Analytics Certification Program from upGrad. You will excel as a business analyst and learn exploratory data analysis, business problem solving, and predictive analysis by taking up the course. The program offers more than three case studies and projects and live sessions with industry experts.  Apply now and enroll in the course to become a successful business analyst. 

Business Analytics: A Brief Overview Business analytics, often shortened as BA, is a selection of technologies and disciplines required for solving business problems using data analysis, quantitative methods, and statistical models. This field requires a recursive and systemic exploration of an organization’s data that emphasizes statistical analysis for decision-making. Data is considered a business asset in every data-driven company, which requires mining, processing, and analysis to use it to their competitive advantage. Successfully implementing business analytics depends on professional analysts who have the skillset to understand the relevant technologies such as business intelligence software, data quality, and the commitment to use data to gain insights to make business decisions. The Importance Of Business Analytics Tools The overwhelming volume of data generated by cloud applications is undeniable. Large-scale companies and startups rely on business analysis tools and ways to deliver foolproof analytics solutions to extract insights from the generated data. Many tools and application software capture qualitative and quantitative data from various business systems and incorporate them into a repository, which is how most data analysts review and analyze data to ensure smart decision-making. Many companies use different business analytics software all at once. These include statistical tools, data mining tools, and predictive modeling. These applications for business analytics provide companies with insights to aim for efficiency, profitability, and productivity. With more and more advancement, business analytics tools leverage powerful features to make data collection and analysis easier. Hence, they can detect trends and patterns from vast datasets and pave the way for newer business analytics models.  Difference Between Business Analytics and Business Intelligence Although they seem identical, BA and BI have key differences that set them apart. Business Analytics aims to provide advanced analytics that leverages Business Intelligence as the backbone while solving complex questions and making projections. Data analytics consists of various applications and techniques falling under the umbrella of data analytics, amongst which two popular practices are business analytics and business intelligence. Despite sounding the same, these are entirely different concepts for building analytical strategies and extracting the best intel out of the data. High-functioning tools are used by business analysts for gathering, analyzing, and presenting data to the companies for customer satisfaction and achieving business goals. Top-tier business analytics tools are in high demand due to the high functionalities that advanced software in business analytics promise to deliver for the future growth of business and monetary success. Business intelligence is entirely focused on the current and the past events that the data capture. On the other hand, business analytics is wholly focused on what can potentially happen in the future.  BI aids companies in building strategies for present situations with active data broken down to answer any specific questions related to the recent data. BA uses data insights to form business strategies and improve productivity and current dynamic systems. Get Business Analytics Certification from the World’s top Universities. Learn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. Five Most Popular Business Analytics Tools Analysts use many Business Analytics tools for performing tasks with efficiency. Here is a list of some of the most popularly used BA tools in the field of data science:- 1. QlikView QlikView was the first product created by a business and software organization called Qlik and was formerly known as QuikView. It is one of the most popular tools used in business analytics because of its distinctive and unique features. Compared to software like Tableau, it is faster in response and much more efficient. QlikView is easy to deploy and learn. It helps users achieve business insights by associating with data. No programming experience is required other than basic knowledge of SQL and VB Script that can help understand how this tool functions. The distribution of this tool is supportive enough as it offers a free version of QlikView to use personally and can be easily implemented by beginners and small startups. 2. Board Board falls in the list of one of the highest-rated software tools for business analysis because its business analytics model is leasing in the industry. It enables users to create intuitive and interactive business analytics dashboards and reports. Additionally, this business analytics platform is highly-scalable and integrates the top-tier analytical tools used in businesses, including a high-functioning statistics suite. Board is a business analytics tool that can manage overwhelmingly large volumes of data and provide a scenario analysis as accurately as possible. It also aids in forecasting by manipulating data used in various scenarios. 3. Splunk Based in San Francisco, Splunk Technology is popularly known for producing some of the best business analytics tools to handle various aspects of machine-generated data. This involves searching, monitoring, and analysis and helps attain indexes find the link between the repository and real-time data. This repository is often used for generating reports, graphs, and dashboards. Splunk Free is available and has all its Enterprise features in Splunk 4 for two months. It gives business analysts the benefit of letting users index 500 megabytes of data every day. Both small and medium-scale companies use it. Read our Other Articles Related to Business Analytics What is Business Analytics? Career, Salary & Job Roles Top 7 Career Options in Business Analytics Business Analytics Free Online Course with Certification Business Analytics Vs Data Analytics: Difference Between Business Analytics and Data Analytics Top 7 Best Business Analytics Tools Recommended for every Business Analyst Top 11 Industry Applications of Business Analytics Future Scope of Business Analytics Business Analytics Eligibility or Requirement 8 Business Analytics Tips: Which Helps to Run Business Successfully 4. Microstrategy The business analytics software known as Microstrategy promises superior analytics capabilities to provide foolproof processing of raw text data that specialists can further analyze through the text analytics solutions of the platform. It is one of the best up-to-date business analytics tools that incorporate statistical capabilities and insightful analytical features, enabling real-time trend forecasting and third-party data mining. It is a first-rate business analytics tool that combines several business analysis techniques and tools, allowing users to produce and share business analytics reports on any device anywhere. 5. Excel Surprisingly enough, Excel happens to be one of the highest used and least costly data analytics tools used worldwide. Even experts in Tableau or SAS use Excel for data analysis. It is the most crucial tool for dealing with the client’s internal data analytics. Excel performs the complicated task of summarizing data and a preview of the pivot tables that aids in data filtering depending on the client’s requirements. Business analysts must have expert knowledge of the advanced Excel options that aid in modeling capabilities. It also has some of the best pre-built options, such as automatic relationship detection and time grouping. Conclusion As organizations worldwide leverage business analytics tools and BI software, it is opening up newer opportunities for skilled and qualified business analysts across sectors like eCommerce, IT, education, healthcare, banking and finance, retail, etc. The roles in this domain are diverse as well – Data Scientist, Data Analyst, Database Administrator, Big Data Architect, Data Visualization Specialist, etc.  The bottom line is that analytics tools are integral for growth. It is one of the most lucrative fields to pursue because of the advancing business, retail, and eCommerce sectors. If you want to make it big in this field, enroll in a top-tier Business Analytics Certification Program from upGrad. Sign up today to kickstart your career.

A Business Development Manager is essentially important to expand the client base of the organization they will be heading. Apart from managing and presiding over the sales and revenue creating strategies for the organization, also it falls under the manager’s duties to have client meetings and negotiate prices. A lot of the financial, technical, and interpersonal responsibility with the clients and employees is hence crucial for this position. Going by the weight of the responsibility, the salary range will live up to it. The business development manager salary in the USA can range up to $71,575 to $80,000 annually, with other uncommon benefits like commission and profit-sharing, more of which shall be discussed right below. First, we need to get an idea of the job description and the qualifications required to be a Business Development Manager. Read on to know more about this highly-fought position. Business Development Manager Job: What is it like? While the salary and the job outlooks are highly intensive, the job description and requirement can be challenging. But do not let the heavy qualifications strewn all over the internet scare you, for we are here to break the work settings and the job skills for your smooth path to being a successful Business Development Manager. Check out our business analytics courses to upskill yourself Job Description Aspirants who wish to be business managers must possess various skills. Business Manager job descriptions vary tremendously according to the specific company being hired. They may be headed to preside over the entire business transactions of an organization or head over a highly specialized field inside the office. Here are a few important responsibilities of a business manager: Ensure smooth running of company employees. Allocate efficient use of financial resources. Schedule and negotiate client pricing, oversee projects, and delegate employee jobs. Plan work schedules and hand out employee reviews. Be in simultaneous contact with employees as well as company supervisors. The Work Setting While the job description might sound overwhelming, business managers are required at almost all organizations. Hence, it is essential to walk through the industries that require a position fitted with one’s ability and skills, including software and hardware, cybersecurity, financial services, healthcare services, and e-commerce. Here are the tentative work settings a prospective business manager might encounter: Generally office-based and working indoors. Up to 40 hours a week of regular work. Might be required to attend travel meetings and other business meetings with clients. Generally interact with various people, including colleagues, clients, stakeholders, vendors, etc. Manage conflicts inside the workspace. Read our Other US Articles Related to Business Analytics How to Get Business Analytics Dream Job? What is Financial Analytics and Why is it Important? The Skills Required  Business managers juggle multiple responsibilities, and thus, they must possess the necessary skills in handling the work environment efficiently. Here are some skills important for an aspiring business manager: Communication skills- business managers should communicate with clients and present their ideas commendably. Organizational skills- business managers must prioritize their work schedule and their clients’ and employees to facilitate a structured workforce. Technical skills- business managers must be adept in financial calculations and know basic computer skills like Excel, Word, PowerPoint, etc. (Optional) Professional skills- some business organizations might want their business development managers to have an in-depth understanding of any coding language like Java, Python, C++, etc., but only in specialized cases where it shall be mentioned in the job description. Qualifications What are the qualifications one requires in their resume for being a business manager? They are as follows: A Bachelors/Masters Degree in Business Administration (BBA/MBA) or a Sales related field. Professional Courses or PG Diploma in Marketing, Sales, IT, Business Communication, etc. A few years’ (two-three) work experience in related marketing/sales organizations. Business Development Manager Salary Range As mentioned earlier, the business development manager salary in the USA can touch almost $80,000 annually, with the range being $75,000 to $134,000. In addition, the job salary range also has other uncommon benefits like commission and profit-sharing, which may shoot up to $25,000 and $10,000, respectively. Such perks add up to a massive salary for this vital organizational leadership position. The salary also depends on the type of organization the business manager works under and the size and scale of the company influence. Largely, clientele support and pricing also influence the salary range. Other indirect benefits for a business development manager’s salary in the USA can include generous life insurance plans, health benefits, dental health plans, retirement bonus plans, paid vacations from the company, and other bonuses. Explore our US Business Analytics Programs from World's Top Universities Professional Certificate in Data Science and Business Analytics Master of Science in Business Analytics Summary People usually start as Assistant BDMs and slowly work their way upwards with hard work and zeal. Meanwhile, the work experience gained also grooms them for more important future managerial positions. In addition, assistant posts are open to aspirants with higher qualifications, and they can pursue more courses side by side with their current job to gain more expertise in the field to reach their goals faster. If you’re a data enthusiast seeking to acquire data analytics and management expertise, you can check out upGrad’s Business Analytics Certification Program. Industry experts draft this popular and sought-after course. Additionally, it includes exposure to a considerable pool of real-time data collection and analysis. This brilliant course offers several internship programs with the top commercial giants to help you understand data science and management. Sign up today and have a chance to learn from the best tutors online!