What Does an Entry-Level Data Analyst Do: Roles, Skills, Salaries, and Build Your Career in 2025

Did you know that Google generates around 40,000 petabytes of data, containing invaluable insights into user intent and actions? This massive volume of data has the potential to revolutionize business decisions. Collecting, organizing, and analyzing such massive data is a challenging task, and it’s the key responsibility of data analysts.

Data analysts’ role is to help businesses make informed decisions. Research shows that companies leveraging data-driven decision-making are 19 times more likely to stay profitable. If the idea of shaping the future of businesses through data inspires you, a career as a data analyst could be the perfect fit.

If you’re not sure how to begin your journey as a data analyst, this blog will guide you. You’ll find tips on landing entry-level data analyst roles and exploring potential career paths. Let’s get started!

What Does an Entry-Level Data Analyst Do? Roles and Responsibilities

An entry-level data analyst is responsible for organizing, interpreting, and presenting data to support decision-making within an organization. By providing meaningful insights, they contribute to data-driven decisions across various departments. 

In this role, you’ll collaborate with senior analysts, IT teams, and business stakeholders to ensure data processes align with the organization's objectives.

The main role of data analysts is to collect data, modify it, and interpret it to obtain insights. Here are the roles and duties associated with an entry-level data analyst. 

Key Roles and Responsibilities of an Entry-Level Data Analyst

The role of a data analyst spans from data collection to data visualization, involving the entire data lifecycle. Here are the key roles and responsibilities of an entry-level data analyst.

• Data Collection

You’ll collect data from multiple sources, such as surveys, databases, and third-party platforms. You’ll make sure the data is relevant and comprehensive for analysis.

• Data Cleaning

Data analysts have to identify and resolve issues like duplicates, errors, or missing values to improve the quality of the data.

• Data Modeling

After cleaning the data, you’ll have to structure it into logical formats for analysis, making it easy for analysis.

• Data Analysis

You’ll use tools and statistical methods to identify trends, patterns, and anomalies to answer specific business questions.

• Data Visualization

You’ll represent the data in the form of charts and dashboards to help stakeholders understand the data's story.

Learn how to turn data into actionable insights to help your organization make data-driven decisions. Enroll in upGrad’s Online Data Science Courses to begin your journey towards becoming a data analyst.

Core Duties of an Entry-Level Data Analyst

As an entry-level data analyst, you’ll collaborate with various teams to create reports and deliver actionable insights. Here are some of the duties of an entry-level data analyst.

• Collaborate with Teams

You’ll work closely with other analysts, the IT team, and the business team to align data projects with company objectives.

• Improve Data Accuracy

Data analysts will have to make sure the collected data is reliable and meets quality standards.

• Support Decision-Making

You’ll provide actionable insights that will help leaders in the organization to make strategic decisions.

• Contribute to Reports

You’ll assist senior analysts in preparing detailed reports that summarize findings and recommendations for different stakeholders.

• Learn Tools and Techniques

Gain expertise in tools like SQL, Excel, and data visualization platforms (ex, Tableau, and Power BI).

Learn techniques to clean, analyze, and visualize data effectively using tools like Excel. Join the free course on Introduction to Data Analysis using Excel.

Now that you have a clear understanding of an entry-level data analyst's role, let’s explore the key skills required for success in this position.

Key Skills Every Entry-Level Data Analyst Should Learn

The role of an entry-level data analyst needs a mix of technical skills (e.g., programming) and workplace skills (e.g., communication). These skills will help you to manage data efficiently and effectively communicate results for organizational decisions. 

Here are the key technical and workplace skills needed for an entry-level data analyst.

Technical Entry-Level Data Analyst Skills

As a data analyst, you’ll need to be proficient in databases, data visualization tools, and programming languages. Here’s a breakdown of the entry-level data analyst skills

required for the role.

• Programming languages 

You need to have expertise in programming languages like R and Python for data manipulation and analysis. Python libraries such as Pandas and NumPy will help you handle large datasets, while R is suitable for performing statistical analysis.

• Database tools 

The knowledge of SQL is vital for querying and managing data stored in databases. Excel is useful for quick data analysis, dashboards, and pivot tables.

• Knowledge of mathematics and statistics

Mathematical concepts and statistical methods like hypothesis testing, regression analysis, and probability modeling are used for analyzing trends and making predictions.

• Familiarity with Big Data Tools 

Knowledge of big data frameworks like Hadoop or Spark can be an advantage, especially in organizations handling large-scale datasets.

• Data visualization tools 

Tableau is one of the widely used data visualization tools for creating interactive dashboards, while Excel and Jupyter Notebook are necessary for basic charts and reports.

Learn ways to create interactive dashboards and impactful visual reports in Tableau. Join the free course on Introduction to Tableau and master data visualization.

Workplace Entry-Level Data Analyst Skills

Effective communication, time management, and collaboration are essential skills for a data analyst. Here’s a closer look at the key entry-level data analyst skills

required for this role.

• Strong communication and storytelling

As a data analyst, you’ll have to convert complex data into simple, actionable insights. Through effective storytelling, you can make non-technical stakeholders understand the implications of the data. For example, presenting customer churn rates to the sales team clearly and concisely.

Learn the techniques to use communication skills to excel in any professional setting. Join the free course on Fundamentals of Communication.

• Collaboration and teamwork across departments

You may have to collaborate with marketing, sales, and IT teams to align data strategies with business goals. For example, working with the IT team to clean up a database before conducting an analysis.

• Problem-solving and critical thinking skills

Data analysts will have to identify the root cause of a problem and provide data-driven solutions. Strong critical thinking skills help to address challenges innovatively. For example, analyzing why the sales of a particular product have dropped and providing a solution.

Want to tackle challenges in your personal and professional life effectively? Join the free course on Complete Guide to Problem Solving Skills.

• Attention to Detail

Without accuracy, even minor errors in data can lead to incorrect conclusions and poor decision-making. Paying close attention helps ensure high-quality analysis. For example, double-check data for inconsistencies before final submission.

• Time Management and Organisation

You’ll need excellent time management skills to handle multiple datasets and deadlines. The ability to prioritize tasks will ensure deadlines are met. For example, creating monthly sales reports while working simultaneously on a long-term market trend analysis.

Effective time management can help you avoid burnout and achieve your goals efficiently. Join the free course on Time and Productivity Management Techniques.

Now that you’ve explored the essential entry-level data analyst skills, let’s look at the steps to secure this role.

How to Become an Entry-Level Data Analyst: A Step-by-Step Roadmap

Becoming an entry-level data analyst requires a combination of educational credentials, technical skills, and practical experience. Here’s a step-by-step guide to help you get started in this field.

Step 1: Earn a Degree or Credential

Begin with a degree in a field relevant to data analytics, such as computer science, statistics, or mathematics, which can provide a strong foundation. For a faster learning path, consider pursuing a professional course or certification to develop essential skills efficiently. 

For example, upGrad’s Post Graduate Certificate in Data Science & AI (Executive) can be a good option.

Step 2: Improve Your Skills

Developing the right skills is key to overcoming technical challenges in a data analyst's career. Essential technical skills include programming (e.g., Python), data visualization (e.g., Tableau), and database management (e.g., SQL). 

Equally important are soft skills like interpersonal communication for collaborating with teams.

For instance, mastering big data analytics can open opportunities in roles that deal with large-scale datasets.

Also Read: Want to Be a Data Analyst? Here are the Top Skills & Tools to Master

Step 3: Build a Portfolio

A portfolio will demonstrate your practical skills and problem-solving abilities to potential employers. Make sure you include projects related to data collection, cleaning, and analysis. Visualization samples using Tableau or Power BI can also be added.

For example, you can create a GitHub repository to showcase your data analysis project.

Step 4: Gain Experience

Gaining practical experience is essential for a data analyst's career. You can start by volunteering with non-profits or taking on freelance projects to build hands-on skills. Internships in data analysis are another excellent way to gain real-world experience and understand industry practices.

For example, consider interning as a data analyst in finance or technology companies, depending on your area of interest. 

Also Read: Top 30 Data Analytics Project Ideas to Elevate Your Skills

Step 5: Apply for Jobs

The final step in your journey is to apply for data analyst jobs on recruitment portals. Craft a resume that showcases your technical skills and experience, and include a link to your portfolio featuring completed projects.

For example, search for data analyst roles on platforms like LinkedIn or other job portals using relevant keywords such as "data analyst."

Also Read: How Can Students Leverage LinkedIn For Better Career Opportunities?

Now that you’ve learned the steps to become an entry-level data analyst, let’s explore the career progression opportunities in this role.

Job Growth and Career Outlook for Entry-Level Data Analysts

The growing reliance on data-driven decision-making has made data analysis a highly promising career path. With industry demand continually increasing, entry-level data analysts have significant opportunities for career growth and advancement.

Below is a table showcasing the average annual salary of data analysts based on experience levels.

Source: Ambitionbox

With experience and mastering industry-specific skills, entry-level data analysts can progress into advanced roles like data scientist and business analyst. 

Here are some potential future job roles for entry-level data analysts.

Source: Glassdoor

Also Read: Career in Data Analytics: Ultimate Guide

Now that you’ve explored the potential career growth opportunities as an entry-level data analyst, let’s see how you can land your first data analyst job.

Can You Get an Entry-Level Data Analyst Job With No Experience? (With Tips)

Entering the field of data analytics without formal experience can be challenging. However, with the right skills, practical knowledge, and a proactive attitude, you can land an entry-level role even without prior experience.

Here’s how it is possible to get an entry-level data analyst job without experience.

• Pursue Internships

Internships provide a chance to work on real-world projects. Apply for internships in organizations where data-driven strategies are used.

• Take the Help of Mentors

Connect with experienced data analysts who can help you build a portfolio and enter the job market. Use platforms like LinkedIn to find potential mentors.

• Build a Strong Portfolio

Showcase projects that highlight your data analysis skills, such as visualizations, trend analyses, or statistical models. Build a portfolio website to show your work to potential employers.

• Learn Continuously 

Enroll in online courses in tools like SQL, Python, and Tableau. Keep track of industry trends and blogs to stay informed about advancements in the field.

• Network Strategically

Attend seminars (e.g., Cypher India), industry meetups, or virtual events focused on data analytics. Reach out to professionals and express your interest in learning from them.

• Participate in Data Challenges

Join platforms like Kaggle or DrivenData to work on public datasets and gain exposure to real-world data analytics problems. Highlight participation in your portfolio.

Take the first step towards your data science career. Learn techniques to analyze patterns in data and present it to stakeholders. Start by joining the free course on Analyzing Patterns in Data and Storytelling.

Now that you’ve learned tips for landing an entry-level data analyst job, let’s explore how to develop the skills needed for this role.

How Can upGrad Help You Become an Entry-Level Data Analyst?

Becoming an entry-level data analyst is a rewarding journey that requires a combination of strong technical skills, relevant experience, and a problem-solving mindset. 

A proactive approach to continuous learning is crucial, as data analytics is a rapidly evolving field with constant evolution in tools and methodologies.

Online platforms like upGrad can equip you with the practical skills and latest knowledge required to stand out in the job market.

Here are some of the courses and certificates offered by upGrad in data science and analytics.

• Post Graduate Certificate in Data Science & AI (Executive)
• Professional Certificate Program in  AI and Data Science
• Post Graduate Programme in Data Science & AI (Executive)
• Master’s Degree in Artificial Intelligence and Data Science
• Master’s Degree in Artificial Intelligence and Data Science
• Professional Certificate Program in Financial Modelling and Analysis in association with PwC Academy

Do you need help deciding which course can help you become a data analyst? Contact upGrad for personalized counseling and valuable insights. For more details, you can also visit your nearest upGrad offline center. 

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• Data Analyst Salary in India in 2024 [For Freshers & Experienced]
• Top 10 Data Modeling Tools You Must Know

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References:

• https://www.ambitionbox.com/profile/data-analyst-salary?experience=0
• https://www.ambitionbox.com/profile/data-analyst-salary?experience=3
• https://www.ambitionbox.com/profile/data-analyst-salary?experience=6
• https://www.glassdoor.co.in/Salaries/data-scientist-salary-SRCH_KO0,14.htm
• https://www.glassdoor.co.in/Salaries/business-analyst-salary-SRCH_KO0,16.htm
• https://www.glassdoor.co.in/Salaries/data-engineer-salary-SRCH_KO0,13.htm
• https://www.glassdoor.co.in/Salaries/financial-analyst-salary-SRCH_KO0,17.htm
• https://www.glassdoor.co.in/Salaries/analytics-manager-salary-SRCH_KO0,17.htm
• https://skill-lync.com/blogs/how-google-handles-over-40000-petabytes-of-data-on-a-daily-basis
• https://www.forbes.com/councils/forbeshumanresourcescouncil/2023/07/18/being-data-driven-is-likely-your-best-bet/#