Skip to content
BUSINESS ANALYTICS · CAREER TRACK

Make the numbers useful to a business decision.

Learn to define business measures, investigate performance and turn findings into practical recommendations. Work backwards from the decision so a report tells a manager what to consider next.

Enquire about this trackIs it for me?

₹30,000 per level including GST · Level 1 has no prerequisite · optional Career Audit

A portfolio you can explain

Retail margin review

Help a fictional store understand why higher sales did not produce higher margin.

Illustrative output: A KPI workbook and a five-slide management review.

Explore the project briefs →
THE SHORT ANSWER

What is Business Analytics as a career track?

Business Analytics is a mentor-led career track. Its focus: Turn requirements and reports into decisions for a business team. First roles to search for include Business Analyst Trainee, Junior Business Analyst, MIS Executive. Level 1 takes 3 months at ₹30,000 including GST, with no prerequisite. Coding: Spreadsheet-led starting point; SQL can extend your analysis.

WHO THIS TRACK SUITS

Is Business Analytics right for you?

People who want to turn reports into decisions for a business team. Commerce, management and non-CS graduates often fit here.

Students
Suits BCom, BBA, BA and management students. Your first project is a KPI report for a fictional business with a recommendation.
Freshers
Prepares you for business analyst, MIS and reporting associate roles, where communication and domain knowledge count as much as tools.
Working professionals
Fits people in operations, finance, sales and HR who want to make decisions from data rather than hand the question to someone else.
Look elsewhere if
If you want to spend most of your time preparing data and building dashboards, look at Data Analytics.
Coding
Spreadsheet-led starting point; SQL can extend your analysis.
Mathematics
Ratios, percentages, unit economics and basic statistics.
Before you start
Practise spreadsheet formulas and reading a simple business report. Be ready to define terms such as revenue, margin and conversion.
WHAT YOU WILL WORK ON

What will you learn in Business Analytics?

You learn these areas from recommended external courses; your mentor sets the practice and reviews the work.

1

Business KPIs

Understand measures used across sales, marketing, finance, HR and operations.

2

Reports and dashboards

Organise measures around the audience and the decision they need to make.

3

Performance analysis

Compare periods and segments while checking how measures were calculated.

4

Recommendations

Translate findings into a proposal with assumptions, costs and a way to evaluate the result.

TOOLS AND SETUP

What tools do you need for Business Analytics?

A spreadsheet, SQL basics and one business-intelligence tool. All available free for learning.

MENTORSHIP & REVISIONS

Bring your thinking to the review.

Check whether the measure has a clear owner, definition and decision. Review the recommendation's assumptions, the alternatives considered and the information still needed.

See a sample review round →
LEVELS IN THIS TRACK

How long does Business Analytics take, and what does each level add?

Level 1 (3 months): small assignments and your first Business Analytics project, reviewed until it holds up. Level 2 (6 months): one larger project with revisions; resume review and mock interviews begin. Level 3 (6 months): a bigger project, portfolio guidance and application guidance for the roles you choose. Level 4 (6 months): a multi-part project with 1-on-1 reviews and system design and architecture review; aimed at working professionals switching direction. Every level is ₹30,000 including GST, bought one at a time.

What each level includes →
PRACTICE WITH PURPOSE

What projects will you build in Business Analytics?

Illustrative briefs set by mentors for practice, built on synthetic or appropriately licensed data. Your mentor sets your actual project to fit your level.

Illustrative project 01

Retail margin review

Help a fictional store understand why higher sales did not produce higher margin.

Sample inputs
Synthetic product sales, purchase costs, discounts and returns.
Your tasks
Define gross margin, compare product mix, quantify discount effects and propose a small pricing experiment.
What to deliver
A KPI workbook and a five-slide management review.
Quality checks
Distinguish gross margin from net profit and state which operating costs are excluded.
Interview discussion
Explain why reducing discounts could hurt volume and how you would measure the tradeoff.
Illustrative project 02

Recruitment process report

Find delays in a fictional recruitment process without making decisions about individual candidates.

Sample inputs
Synthetic aggregate counts and dates for application, review, interview and offer stages.
Your tasks
Map the funnel, calculate stage conversion and waiting time, then propose a process improvement.
What to deliver
A process map, KPI dashboard and recommendation memo.
Quality checks
Define cohorts consistently, separate still-open cases and avoid attributing delays to individuals without evidence.
Interview discussion
Explain why a faster process should still protect the quality and fairness of review.
Illustrative project 03

Campaign budget decision

Recommend how to investigate a fictional marketing budget allocation.

Sample inputs
Synthetic spend, orders and contribution margins across three channels.
Your tasks
Compare unit economics, identify missing attribution data and design a bounded test rather than a blanket budget shift.
What to deliver
A decision memo with options, assumptions and success measures.
Quality checks
Do not equate revenue return with profit or assume observed channel differences are causal.
Interview discussion
Explain what evidence would make you reverse your recommendation.
FIRST ROLES, HONESTLY

What jobs can Business Analytics lead to?

Business analyst roles in India lean on communication and domain knowledge, and increasingly expect basic SQL and one BI tool. The overlap with data analyst roles is growing; the first roles are business analyst trainee, MIS and reporting associate.

Preparing management reports, tracking operational KPIs and supporting business investigations. Search for business reporting associate, operations analyst trainee and business analyst trainee, checking whether each role expects process or data skills.

We do not guarantee eligibility, interviews or employment.

YOUR PORTFOLIO

Make your contribution visible.

A KPI dictionary, business dashboard, recommendation memo and a management presentation showing tradeoffs.

Career preparation by levelAll project briefs
PRACTISE THE CONVERSATION

What you will be asked about this work.

The questions attached to each project brief are the ones a mentor asks in review and an interviewer asks later. From Level 2, you rehearse them in mock interviews.

  1. 1

    ABOUT “RETAIL MARGIN REVIEW”

    Explain why reducing discounts could hurt volume and how you would measure the tradeoff.

  2. 2

    ABOUT “RECRUITMENT PROCESS REPORT”

    Explain why a faster process should still protect the quality and fairness of review.

  3. 3

    ABOUT “CAMPAIGN BUDGET DECISION”

    Explain what evidence would make you reverse your recommendation.

QUESTIONS ABOUT THIS TRACK

Before you choose Business Analytics.

Is this suitable for commerce students?

Business knowledge can be a useful starting point. Prepare spreadsheet and numerical skills and confirm your programme requirements.

How does it differ from Data Analytics?

Both use data. Business Analytics puts extra emphasis on the business decision, KPI definitions and recommendations.

Is all business analysis data analysis?

No. Some business analyst roles focus on requirements, stakeholders and process design. Read job descriptions carefully.

Do I need advanced mathematics?

Begin with percentages, ratios, basic statistics and unit economics. More specialised work can require further study.

What makes a recommendation credible?

Connect it to evidence, explain assumptions, consider alternatives and specify how its effect would be measured.

Can a KPI be misleading?

Yes. A measure can improve while the business worsens, such as sales rising through unprofitable discounts.

What should my portfolio include besides a dashboard?

A metric dictionary, decision memo and concise presentation show how you translate analysis into action.

Can I practise with fictional business data?

Yes. Label it clearly, document assumptions and avoid presenting simulated outcomes as actual company results.

KEEP EXPLORING

Guides to read alongside Business Analytics

BY CITY

Where is Business Analytics a good fit?

These cities have employers that hire for the roles this track leads to.

Take your next step in Business Analytics.

Enquire about this track. The team calls you back, usually within one working day, to confirm the starting level.

Enquire about this track
Enquire now