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Home Articles

How BCom Graduates Can Launch A Successful Career in Data Analytics (Step-by-Step Guide)

A Detailed Guide On How To Get Started

by Alfred Stephen
July 29, 2025
in Articles, Coding, Data Analytics
how bcom graduates can launch a career in data analytics
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Table of Contents

  • Introduction: BCom X Data Analytics
  • Core Strengths That BCom Graduates Already Have
  • Data Analytics Roles for BCom Graduates
  • Skills that BCom Finance Graduates Need to Learn to Bridge the Gap
  • How to Get Started with Data Analytics as a BCom Graduate – A Step-by-Step Guide
  • Final Thoughts on BCom + Data Analytics

A few years back, no one would’ve imagined that a BCom degree (Bachelor of Commerce) would open up a career in Data Analytics. Fast forward a few years, and now anything is possible. If you are thinking of doing the same, this blog provides you with all the necessary details along with a detailed explanation on how to get started.

Check out this video by Entri in Malayalam!

Introduction: BCom X Data Analytics

Data has transitioned into a substance with immense monetary value. It is an essential component that drives businesses to a great extent. BCom graduates can bridge the divide between business expertise and high-demand analytics skills. If you are a BCom graduate – specialised in Finance, Accounting, Marketing, Economics, Business Analytics, Banking, etc. – your background is more relevant for data analytics than you think.

bcom in finance

Is Data Analytics a Good Choice for BCom Graduates

Ofcourse! Your BCom degree has already given you a hands-on exposure to business concepts, numbers, and decision-making. Whether you have crunched numbers for balance sheets, analysed market trends, or interpreted management reports, you have already practiced the foundation skills for data analytics.

Studying BCom would’ve already exposed you to spreadsheets, financial ratios, and even likely forecasting models. These activities involve extracting insights from numbers, which is what data analytics is all about. Here are the reasons why transitioning to analytics makes sense for BCom graduates:

  • Real-time decision-making: Businesses require quick decisions that are data-backed.
  • Growth of Analytics across Commerce: Functions like Accounting, Management, Finance, and Operations are adopting analytics for planning, forecasting, and optimization.
  • Higher earnings: Skills in analytics can significantly boost your career growth and salary.
  • Versatility: With mastery in analytics, you get to explore other roles in operations, marketing, supply chain, and more.

Also read: Roadmap: How To Become a Data Analyst & What Are The Skills Required?

Core Strengths That BCom Graduates Already Have

You might think that there are very few similarities between BCom and Data Analytics that provide you with an opportunity. However, your degree provides you with a strong foundation that’s highly relevant in analytics. BCom skills that make you relevant in analytics are as follows:

  • Quantitative and Analytical Thinking

Working with numbers, performing ratio analysis, and studying balance sheets sharpens your ability to spot trends and think critically.

  • Familiarity with Tools

Commerce and Excel go hand-in-hand, similar to Excel being a necessary tool in analytics. Concepts such as pivot tables, lookups, and charts are directly applicable.

  • Business Context

With the acquired knowledge of accounting, financial management, and business operations, you would easily understand why the data matters and not just what it shows.

  • An Eye for Detail

Commerce studies sharpen your eye for accuracy – traits that are invaluable in analytics, as a small error can lead to big misinterpretations.

Also read: How To Become A Data Analyst in Kerala

Data Analytics Roles for BCom Graduates

Being a BCom graduate enables you to aim for roles that blend commerce and data analysis. Such roles can be found in corporates, banks, fintech startups, consulting firms, and government bodies. Here are some of the roles that you can consider based on your degree.

  • Data Analyst

Interpret complex datasets to uncover actionable insights that support business decision-making.

  • Business Analyst

Bridges the gap between business needs and technology by analysing processes, identifying improvements, and recommending solutions based on data.

  • Operations Analyst

Business processes are evaluated and optimised using data to improve efficiency and productivity across operations.

  • MIS Analyst

Manages, analyzes, and reports on Management Information System data to support organizational planning and performance tracking.

  • Financial Analyst

Responsibilities include using historical data and market trends to forecast future financial outcomes, analyse performance, and prepare budgets.

  • Risk Analyst

Evaluate financial data to predict and assess potential risks in lending, business operations, or investments.

  • Investment Analyst

Analyse portfolio trends, stock performance, and market conditions by using quantitative data models.

  • Fraud Detection Analyst

Detect financial fraud and suspicious activity by identifying patterns while working with large datasets.

  • FP&A Analyst (Financial Planning & Analysis)

Support senior management by using data to create financial models, forecasts, and strategic plans.

data analytics

Skills that BCom Finance Graduates Need to Learn to Bridge the Gap

Having a BCom degree already makes you familiar with numbers, business fundamentals, and financial decision-making. However, to transition into data analytics, some advanced technical and analytical skills are non-negotiable for you to acquire. These skills act as the bridge between your commerce education and the world of data-driven decision-making. For better understanding, let us break them into two key categories.

  • Technical Tools and Platforms

Here are the tools that data analysts use to manipulate and visualise data. Find the easiest one for you to learn and slowly master the rest to make them relevant to your goal.

Skill Importance Concepts to learn Example
Microsoft Excel (Advanced) Widely used in finance and analytics. Pivot tables and charts, Lookup functions, Power Query, Data validation, Conditional formatting, Macros, VBA Creating dashboards for HR, sales, finance comparisons
SQL (Structured Query Language) Helps you pull, filter, sort, and join data from large datasets SELECT, WHERE, ORDER BY, GROUP BY, HAVING, INNER, LEFT, RIGHT Pulling customer trends from database
Power BI Visualisation helps turn raw data into interactive dashboards to communicate effectively, especially to non-tech stakeholders.
  • Importing and cleaning data
  • Creating interactive charts and dashboards
  • Using filters, slicers, and custom visuals
  • Calculating KPIs using DAX (Power BI) or calculated fields (Tableau)
  • Designing dashboards for financial reporting
Building an interactive KPI dashboard
Tableau
Python (Optional) Brings automation and scalability to your analysis
  • Basic syntax and data structures (lists, dictionaries, etc.)
  • Using libraries like Pandas (data handling), NumPy (math), and Matplotlib/Seaborn (visualization)
  • Automating Excel reports
  • Time series analysis for forecasting revenue or expenses
Automating monthly business reports

Also read: Data Analytics Case Studies: Real-World Success Stories and Lessons

  • Core Data and Analytical Concepts

Apart from the tools, you also need to understand the fundamentals of working with data and how data is cleaned, analysed, and insights are derived.

Concept Importance Concepts to learn Example
Data Cleaning and Preparation Raw data is often messy, and cleaning it is the first and most important step in analysis.
  • Handling missing values and duplicates
  • Converting data types
  • Normalizing and formatting data
  • Filtering out outliers and anomalies
Clean a financial dataset where dates are inconsistently formatted, columns are mislabeled, and currency symbols are mixed.
Statistics for Data Analysis Helps you to interpret data, identify trends, and avoid misleading confusion.
  • Mean, median, mode
  • Standard deviation and variance
  • Correlation and covariance
  • Probability distributions
  • Regression analysis (linear and multiple)
Analyzing salary distributions
Business and Financial KPIs Understanding Key Performance Indicators (KPI) ensures that your insights are aligned with business needs.
  • Gross/Net Profit Margin
  • Return on Investment (ROI)
  • Working Capital Ratio
  • Revenue Growth Rate
  • Budget vs. Actual Variance
Measuring campaign performance
Storytelling with data Create a story around the data you have analysed for better understanding and to make you stand out from others.
  • Structuring your insights logically (problem > data > insight > recommendation)
  • Using visual aids to support your narrative
  • Simplifying complex data for non-technical audiences
Present a monthly finance review to leadership, highlighting key variances and actionable recommendations.

How to Get Started with Data Analytics as a BCom Graduate – A Step-by-Step Guide

With your BCom degree, you don’t need to start from scratch to break into data analytics. With the already acquired business knowledge, financial acumen, and analytical thinking, all you need to do now is build the right technical toolkit, get hands-on practice, and follow a clear path to secure your first analytics job. Here is a clear and detailed step-by-step guide for you to transition into data analytics with your degree.

career path for bcom graduates in data analytics

 

Step 1: Understand the Career Path

Before you start learning the tools and skills, you need to understand which field excites you. It is equally important to decide on which role you want to be – Data analyst, FP&A analyst, MIS analyst, or risk analyst – and dedicate your learning to that role as a goal.

Step 2: Upskill with Entri

Now that you’ve decided on a role and understood what to expect from your job, the next step would be to upskill yourself. Entri’s Data Analytics Course is a beginner-friendly and job-oriented program tailored for non-tech and BCom graduates. Here is a sneak peek of what you’ll be learning in this course:

  • Excel for data analysis – Advanced formulas, pivot tables, Power Query

  • SQL – Learn how to retrieve and manage structured data from databases

  • Power BI – Create interactive dashboards and reports

  • Python for data analysis – Basics of programming, automation, and visualization

  • Capstone Projects – Apply your learning to real-world financial scenarios

  • Illinois Tech University Certification – International Validity

Step 3: Practice on Real-World Projects

“Practice makes theory perfect”. Develop a habit of seeking out and working on projects that have real-world applicability. This makes you approach the problem or the task from different perspectives and will develop better analysis and decision-making skills. Entri’s course provides projects with guidance from expert mentors to provide an opportunity where you can apply all the theory that you learned. You should also strive to work on other projects on your own to understand the mechanisms taking place. By the end of the course, aim to complete at least 3 – 4 projects.

Step 4: Create a Data Analytics Portfolio

A strong portfolio is your key to landing your first data analytics job, since it is proof of your skills, and employers prefer candidates who have an impressive portfolio. Creating a strong, well-tailored portfolio is key to showing recruiters how you think, solve problems, and present data insights.

Remember to include these in your portfolio, as these points make you stand out among other candidates:

  • Project title + problem statement

  • Screenshots of dashboards or code

  • Business insights and outcomes

  • Tools used (Excel, SQL, Power BI, etc.)

  • GitHub or Google Drive links

You can use a variety of tools, such as GitHub, Tableau Public/Power BI Service, Notion, and Medium, for showcasing different aspects of your work.

Step 5: Start Applying for Internships and Entry-level Roles

Once you have mastered the tools for bridging the gap between your BCom degree and a Data Analytics career, it’s time to start looking for entry-level roles and internships that can propel you into the field of data analytics. With a strong portfolio containing details about your projects and works, you can look for or start applying for roles such as these:

  • Data Analyst Intern

  • Junior BI Analyst

  • Financial Analyst with Excel/SQL skills

  • FP&A Intern

  • MIS Executive / Reporting Analyst

Entri’s dedicated placement cell will help in securing your first role. They provide specialised guidance sessions with mentors on how to attend interviews, along with resume building. Entri’s Data Analytics Course ensures that you are job-ready to venture out and apply with confidence.

entri placement cell

Step 6: Networking and Staying Updated

The perfect job for you might not necessarily come from job portals, but rather from connections that you make in various sectors, both online and offline. Leverage LinkedIn to connect with fellow Data Analysts as well as recruiters. Joining various finance and analytics communities on platforms such as Reddit is a good way to stay updated and gain insights on jobs, as well as various features. Make it a habit to attend webinars and virtual meetings conducted by platforms such as Entri.

bcom finance and data analytics

Also read: Data Analyst Salary in Germany

Final Thoughts on BCom + Data Analytics

Taking up data analytics doesn’t exactly mean that you are leaving your commerce skills behind. Rather, you are elevating your skills to include more and tap into your potential. The commerce world is not how it used to be. It has evolved a lot, and employers want professionals who can go beyond spreadsheets or reports and bring data-driven insights to make decisions. With the right skills and a confident mindset, you can easily break into the world of data analytics with your versatile and relevant background. With analytics taking the job market by storm, now is the time to enrol in Entri’s Data Analytics course and secure your future. Carve out your destiny with Entri!

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    Frequently Asked Questions

    Can a BCom graduate really switch to a career in data analytics?

    Absolutely! BCom graduates have a solid foundation in numbers, business processes, and analytical thinking—core skills needed in data analytics. With focused upskilling in data tools and concepts, a successful transition is very achievable.

    What additional skills should BCom graduates learn to be job-ready for analytics roles?

    Focus on mastering Microsoft Excel (advanced), learning SQL for database querying, understanding data visualization tools like Power BI or Tableau, and grasping core statistical concepts for data interpretation.

    Do BCom graduates need to know programming to get started in analytics?

    Not initially. Many entry-level analytics roles rely on Excel and BI tools. However, learning basics of Python can open advanced opportunities in automation and large-scale analytics.

    What types of organizations hire BCom graduates for analytics roles?

    Businesses in finance, consulting, banking, e-commerce, healthcare, government, and technology regularly recruit data-savvy BCom grads for analyst and business intelligence roles.

    What is the value of a portfolio or hands-on projects for BCom graduates?

    A portfolio with real-life projects (dashboards, case studies, reports) demonstrates your practical ability and problem-solving approach—hugely boosting your employability for analytics jobs.

    Which certifications help BCom graduates stand out in analytics?

    Industry-recognized certifications such as Microsoft Excel Specialist, Tableau Desktop Specialist, Google Data Analytics Professional Certificate, and Power BI Certification showcase your technical readiness to employers.

    Is accounting or finance specialization required for analytics jobs after BCom?

    No—while finance/accounting skills are an advantage for certain roles, analytics opportunities exist in HR, marketing, supply chain, operations, and general business domains.

    What entry-level job titles should BCom graduates target in analytics?

    Look for titles like Data Analyst, Business Analyst, Junior BI Analyst, MIS Executive, Market Research Analyst, Operations Analyst, and FP&A Analyst.

    How long does it typically take for a BCom graduate to become job-ready in analytics?

    With consistent learning and hands-on practice, most BCom graduates can be ready for entry-level analytics roles in 6–12 months.

    What are the biggest initial challenges for BCom graduates moving into data analytics?

    The most common hurdles are learning new technical tools, understanding analytics terminology, and building confidence—but these can be overcome with structured learning and practical project work.

    Share62SendShare

    Alfred Stephen

    With a Master's in English Language and Literature, Alfred has been writing SEO-friendly content and articles in various niches including Coding, Commerce, Language Learning, and Healthcare. Additionally, he has also been a part of training LLMs for MNCs to provide efficient answers on complex queries.

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