Business Analytics Internship in Mumbai
Step 1: Apply for your favorite Internship
After you apply, you will receive an offer letter instantly. No queues, no uncertainty—just a quick start to your career journey.
Step 2: Submit Your Task(s)
You will be assigned weekly tasks to complete. Submit them on time to earn your certificate.
Step 3: Your task(s) will be evaluated
Your tasks will be evaluated by our team. You will receive feedback and suggestions for improvement.
Step 4: Receive your Certificate
Once you complete your tasks, you will receive a certificate of completion. This certificate will be a valuable addition to your resume.
About this Internship
Learn business problem solving, data cleaning, dashboard development, and data-driven decision making through practical work-from-home activities.
Tasks and Duties
Week 1-2: Business Problem Framing
Summary
Convert a business problem into a structured analytics problem.
Objective
Task Objective: Convert a business problem into a structured analytics problem.
Student Activities: 1.
Select a business problem such as declining sales, customer churn, increasing costs, or low employee productivity.
2.
Define the business objective and identify the questions that data should answer.
3.
Identify the required data fields, possible data sources, and important assumptions.
4.
Prepare an analytics plan explaining how the problem will be investigated.
Student Submission: Submit a 3-page Business Problem Framing Report containing the problem statement, objectives, data requirements, assumptions, and analysis plan.
Mode: This task can be completed remotely from home using publicly available information, spreadsheets, documents, presentation tools, or fictional business data where specified.
Week 3-4: Data Cleaning and Exploration
Summary
Clean a dataset and identify meaningful patterns using basic exploratory data analysis.
Objective
Task Objective: Clean a dataset and identify meaningful patterns using basic exploratory data analysis.
Student Activities: 1.
Use a public dataset or create a fictional dataset containing at least 200 records.
2.
Identify and handle missing values, duplicate records, incorrect formats, and inconsistent entries.
3.
Calculate summary statistics and identify important patterns or unusual observations.
4.
Create suitable charts to communicate the main findings from the dataset.
Student Submission: Submit the cleaned Excel/CSV dataset and an exploratory analysis report containing tables, charts, observations, and conclusions.
Mode: This task can be completed remotely from home using publicly available information, spreadsheets, documents, presentation tools, or fictional business data where specified.
Week 5-6: Business Dashboard Development
Summary
Create a management dashboard that presents important business metrics clearly.
Objective
Task Objective: Create a management dashboard that presents important business metrics clearly.
Student Activities: 1.
Select 5–8 business KPIs that are useful for management decision making.
2.
Create calculated metrics and organise the data so the dashboard can be filtered and understood easily.
3.
Build the dashboard using Excel, Google Sheets, Power BI, or another suitable free visualisation tool.
4.
Write a short explanation describing what each KPI means and what business decision it supports.
Student Submission: Submit the dashboard file/screenshots and a 2-page Dashboard Documentation Report explaining the KPIs, charts, filters, and business purpose.
Mode: This task can be completed remotely from home using publicly available information, spreadsheets, documents, presentation tools, or fictional business data where specified.
Week 7-8: Final Project: Business Analytics Case Study
Summary
Complete an end-to-end business analytics project from problem definition to recommendation.
Objective
Task Objective: Complete an end-to-end business analytics project from problem definition to recommendation.
Student Activities: 1.
Select a realistic business problem and prepare or obtain a suitable dataset.
2.
Perform data cleaning, exploratory analysis, KPI calculation, and dashboard development.
3.
Identify at least five meaningful insights and support every insight with data or visual evidence.
4.
Prepare practical recommendations explaining what management should do based on the analysis.
Student Submission: Submit a complete Final Project containing the dataset, analysis workbook/dashboard, 8–10 page PDF report, and a 8–10 slide management presentation.
Mode: This task can be completed remotely from home using publicly available information, spreadsheets, documents, presentation tools, or fictional business data where specified.