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Business Analytics Engineers Resume Samples and Templates for 2026

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Business Analytics Engineer Resume Guide for India

A well-crafted business analytics engineer resume is essential for success in India’s data-driven business landscape. Whether you’re pursuing a career with IT services companies like TCS and Infosys, product companies like Flipkart and Amazon, analytics firms like Mu Sigma and Fractal, or startups, this guide provides everything you need to create a standout resume.

This comprehensive guide includes:

Resume format recommendations for analytics engineering roles in India
Key skills employers look for in business analytics engineers
Complete resume example with Indian context
Top analytics engineering employers in India
Salary insights in INR by experience level
Required qualifications and certifications
ATS optimization tips for Indian job portals

Why Your Business Analytics Engineer Resume Matters in India

India is a global hub for analytics and data engineering, with companies increasingly relying on data-driven decision-making. From IT services giants to e-commerce platforms and fintech startups, business analytics engineers are in high demand to build data pipelines, create dashboards, and derive actionable insights.

A strong business analytics engineer resume helps you:

Stand out from thousands of analytics professionals on Naukri and LinkedIn
Showcase your expertise in data engineering and business intelligence
Demonstrate your ability to translate business needs into technical solutions
Highlight your experience with modern analytics tools and cloud platforms

Tech companies and analytics firms receive many applications. Your resume must immediately communicate your technical skills, business impact, and ability to drive data-driven decisions.

Business Analytics Engineer Resume Format for India

Indian tech employers prefer clean, professional resume formats that highlight technical skills and business impact.

Recommended Format

Length: 1-2 pages
Layout: Reverse chronological
Font: Arial, Calibri, or Times New Roman (11-12pt)
Sections: Contact, Summary, Skills, Experience, Projects, Education, Certifications

Personal Details for Indian Analytics Engineer Resumes

Include:

Full name
Phone number with +91 country code
Professional email address
City, State
LinkedIn profile
GitHub profile (optional)

What to Avoid

Personal details like religion or caste
Complex formatting that breaks ATS
Salary expectations in resume
Generic descriptions without impact metrics

Key Skills for Business Analytics Engineers in India

Indian employers look for a combination of technical expertise and business acumen.

Technical Skills

Programming: Python, SQL, R
Data Engineering: Apache Spark, Airflow, Kafka
BI Tools: Tableau, Power BI, Looker, Metabase
Cloud Platforms: AWS, Azure, GCP
Databases: PostgreSQL, MySQL, Snowflake, Redshift

Analytics Skills

Data Modelling: Star schema, dimensional modelling
ETL/ELT: Data pipeline design, transformation
Statistical Analysis: Regression, hypothesis testing
Machine Learning: Predictive modelling, clustering
Data Visualisation: Dashboard design, storytelling

Business Skills

Business Analysis: Requirements gathering, stakeholder management
Domain Knowledge: Finance, e-commerce, healthcare, BFSI
Metrics Definition: KPI frameworks, success criteria
Process Optimisation: Identifying efficiency opportunities
Communication: Presenting insights to business teams

Soft Skills

Problem-Solving: Analytical thinking
Collaboration: Cross-functional teamwork
Communication: Technical and business presentations
Adaptability: Learning new tools and technologies
Attention to Detail: Data quality focus

Business Analytics Engineer Resume Example for India

Here’s a complete resume example tailored for Indian employers:

Rohit Nair

Bangalore, Karnataka | +91-98XXX-XXXXX | rohit.nair.analytics@email.com | linkedin.com/in/rohitnair | github.com/rohitnair

Professional Summary

Business Analytics Engineer with 5+ years of experience building scalable data pipelines, creating business intelligence solutions, and driving data-driven decision-making. Currently Senior Analytics Engineer at Flipkart working on supply chain analytics serving 150 million products. Expertise in Python, SQL, Apache Spark, and Tableau. Built data platforms that reduced reporting time by 60% and improved forecast accuracy by 25%. Certified AWS Data Analytics Specialist with strong understanding of e-commerce and retail analytics. Passionate about translating business problems into analytical solutions.

Key Skills

Professional Experience

Senior Analytics Engineer | Flipkart | Bangalore | April 2021 – Present

Build and maintain data pipelines processing 500+ million daily events for supply chain analytics
Design dimensional data models supporting 50+ business reports and dashboards
Develop Tableau dashboards used by 200+ business users across operations
Partner with supply chain team to build inventory optimisation models
Implement real-time analytics using Kafka and Spark Streaming
Mentor 3 junior analysts on best practices and code reviews
Lead analytics engineering for seller onboarding domain

Key Achievements:

Reduced average query time from 45 minutes to 2 minutes through data model optimisation
Built demand forecasting pipeline improving accuracy by 25%
Automated 30+ manual reports saving 100+ hours monthly

Analytics Engineer | Mu Sigma | Bangalore | June 2019 – March 2021

Developed ETL pipelines for Fortune 500 retail client
Created Power BI dashboards for sales and marketing analytics
Built statistical models for customer segmentation
Collaborated with client stakeholders to define business requirements
Maintained data quality and pipeline monitoring

Key Achievements:

Delivered customer analytics platform processing 10 million transactions daily
Improved data refresh frequency from daily to hourly

Data Analyst | TCS | Chennai | January 2018 – May 2019

Analysed business data for banking client
Created SQL queries and Excel reports
Supported business intelligence initiatives
Learned data engineering fundamentals
Participated in analytics training programmes

Education

B.Tech Computer Science | NIT Calicut | 2017

First Class with Distinction
Specialisation in Data Science electives

PG Diploma in Business Analytics | Great Lakes Institute | 2020

Part-time while working
Capstone project on retail analytics

Certifications

AWS Certified Data Analytics - Specialty | Amazon Web Services | 2022
Tableau Desktop Certified Professional | Tableau | 2021
Google Data Analytics Professional Certificate | Google | 2020
Certified Analytics Professional (CAP) | INFORMS | 2023
Microsoft Power BI Data Analyst Associate | Microsoft | 2021

Projects

Real-time Sales Analytics Dashboard | Personal Project

Built end-to-end data pipeline using Python, Kafka, and Spark
Created Tableau dashboard with 15-minute refresh
Deployed on AWS with automated monitoring

Customer Churn Prediction Model | Great Lakes Capstone

Developed ML model predicting customer churn with 85% accuracy
Used Python, scikit-learn, and feature engineering
Presented findings to industry mentors

Languages

English (Fluent) | Hindi (Fluent) | Malayalam (Native)

Top Business Analytics Engineer Employers in India

India’s analytics sector offers diverse opportunities.

IT Services Companies

TCS: Enterprise analytics solutions
Infosys: Business intelligence services
Wipro: Data engineering teams
Cognizant: Analytics and AI practice
Tech Mahindra: Business analytics
HCL Technologies: Data services

Analytics and Consulting Firms

Mu Sigma: Analytics services
Fractal Analytics: AI and analytics
Tiger Analytics: Advanced analytics
LatentView Analytics: Data analytics
AbsolutData: Analytics solutions
Analytics Vidhya: Analytics community

Product Companies

Flipkart: E-commerce analytics
Amazon India: Data engineering
Swiggy: Food delivery analytics
Zomato: Restaurant analytics
Paytm: Fintech analytics
PhonePe: Payments analytics

Startups and Unicorns

Razorpay: Payment analytics
CRED: Consumer analytics
Zerodha: Trading analytics
Freshworks: Product analytics
Zoho: Business analytics
Chargebee: Subscription analytics

MNCs in India

Google: Data engineering
Microsoft: Analytics teams
Uber: Operations analytics
LinkedIn: Business analytics
Netflix: Content analytics
Salesforce: Customer analytics

How to Apply

Company career portals
Naukri.com with “analytics engineer,” “data engineer” keywords
LinkedIn with relevant filters
AngelList for startups
Employee referrals

Business Analytics Engineer Salary in India

Salaries vary based on experience, company type, and location.

Salary by Experience Level

Experience	Annual Salary (INR)
Fresher (0-2 years)	₹6 - ₹12 LPA
Mid-Level (2-5 years)	₹12 - ₹25 LPA
Senior (5-8 years)	₹25 - ₹45 LPA
Lead/Principal (8+ years)	₹40 - ₹70 LPA

Note: Product companies and startups typically pay higher than IT services.

Salary by Company Type

Company Type	Salary Range (Mid-Level)
Product Companies (Flipkart, Amazon)	₹20 - ₹40 LPA
Analytics Firms (Mu Sigma, Fractal)	₹15 - ₹30 LPA
IT Services (TCS, Infosys)	₹10 - ₹20 LPA
Startups	₹18 - ₹35 LPA + ESOPs
MNCs (Google, Microsoft)	₹30 - ₹60 LPA

Salary by City

City	Salary Range (Mid-Level)
Bangalore	₹18 - ₹40 LPA
Hyderabad	₹15 - ₹35 LPA
Mumbai	₹15 - ₹35 LPA
Delhi NCR	₹15 - ₹35 LPA
Pune	₹12 - ₹28 LPA
Chennai	₹12 - ₹25 LPA

Qualifications for Business Analytics Engineers in India

Educational Background

Minimum:

B.Tech/B.E. in Computer Science, IT, or related field
Strong foundation in programming and statistics

Preferred:

M.Tech in Data Science or Analytics
MBA with analytics specialisation
PG Diploma in Business Analytics

Essential Certifications

AWS/Azure/GCP: Cloud data certifications
Tableau/Power BI: BI tool certifications
CAP: Certified Analytics Professional
Google Data Analytics: Professional certificate
Microsoft: Data Analyst Associate

Top Institutes for Analytics

ISB: Indian School of Business
Great Lakes: PGPM Business Analytics
IIM: Business Analytics programmes
IIIT: Data Science courses
Praxis Business School: Analytics programme

Career Path

Data Analyst
Analytics Engineer
Senior Analytics Engineer
Lead Analytics Engineer
Principal Analytics Engineer
Head of Analytics
Chief Data Officer

ATS Tips for Your Business Analytics Engineer Resume

Tech companies use ATS for screening:

Keyword Optimization

Include relevant terms like:

Business analytics engineer, data engineer
Python, SQL, Spark, Airflow
Tableau, Power BI, Looker
AWS, Azure, GCP, Redshift
ETL, data pipeline, data modelling
Machine learning, statistical analysis

Formatting Tips

Use standard section headings
Include GitHub and LinkedIn profiles
List certifications with issuing bodies
Quantify business impact (%, ₹, time saved)
Save as PDF for format preservation

Final Tips for Your Business Analytics Engineer Resume

✅ Lead with technical skills - Python, SQL, cloud platforms

✅ Show business impact - Revenue, efficiency, accuracy improvements

✅ Include projects - Personal or professional data projects

✅ Highlight certifications - Cloud and BI tool certifications

✅ Quantify achievements - Use specific metrics and numbers

✅ Show domain expertise - E-commerce, fintech, retail, etc.

✅ Update regularly - Add new tools and certifications

Quick Checklist

Contact information with GitHub/LinkedIn
Summary highlights technical and business skills
Skills include tools and technologies
Experience shows quantified business impact
Projects demonstrate end-to-end capabilities
Education with relevant background
Certifications prominently listed

Ready to create your professional business analytics engineer resume? Use our resume builder to get started with expert-designed templates.

Looking for more guidance? Check out our resume format guide for additional tips.

Frequently Asked Questions

What is the best resume format for Business Analytics Engineers in India?

Use a 1-2 page reverse chronological format highlighting technical skills and business impact. Include summary, skills, experience, projects, education, and certifications. Emphasise tools like Python, SQL, Spark, and BI platforms with quantified achievements.

What qualifications are needed for analytics engineer jobs in India?

Minimum B.Tech/B.E. in Computer Science or related field. PG Diploma or MBA in Business Analytics preferred. Cloud certifications (AWS/Azure/GCP) and BI tool certifications (Tableau/Power BI) add significant value.

What skills should I highlight on a business analytics engineer resume?

Highlight Python, SQL, Apache Spark, ETL/data pipelines, BI tools (Tableau/Power BI), cloud platforms (AWS/Azure/GCP), data modelling, and statistical analysis. Include business skills like stakeholder management and domain knowledge.

How much do Business Analytics Engineers earn in India?

Freshers: ₹6-12 LPA. Mid-level: ₹12-25 LPA. Senior: ₹25-45 LPA. Lead/Principal: ₹40-70 LPA. Product companies and MNCs pay higher than IT services.

Which companies hire business analytics engineers in India?

Top employers include product companies (Flipkart, Amazon, Swiggy), analytics firms (Mu Sigma, Fractal, Tiger Analytics), IT services (TCS, Infosys), and MNCs (Google, Microsoft). Startups like Razorpay and CRED also hire actively.

Is certification important for analytics engineers?

Yes, certifications demonstrate expertise. Valuable ones include AWS Data Analytics Specialty, Tableau Desktop Professional, Google Data Analytics Certificate, and Certified Analytics Professional (CAP).

What is the difference between Analytics Engineer and Data Analyst?

Analytics Engineers focus more on building data infrastructure, pipelines, and data models. Data Analysts focus on reporting and deriving insights. Analytics Engineers typically have stronger engineering skills while maintaining business understanding.

Should I include projects on my resume?

Yes, projects are valuable especially for freshers and mid-level professionals. Include personal data projects, Kaggle competitions, or capstone projects that demonstrate end-to-end analytics capabilities.

What is the career path for analytics engineers?

Typical path: Data Analyst → Analytics Engineer → Senior Analytics Engineer → Lead/Principal → Head of Analytics → Chief Data Officer. Can also move to product analytics, data science, or data engineering roles.

Should I include GitHub profile on my resume?

Yes, a GitHub profile with data projects, SQL queries, Python scripts, or dashboard examples adds credibility. It demonstrates practical skills beyond what's written in the resume.

Business Analytics Engineers Text-Only Resume Templates and Samples

Arvind Yadav

Phone: 01234567890

Email: abc@email.com

Address: sec-44, Noida, noida

About Me

Business Analytics Engineer

Extensive experience of XX years in gathering, validating, analyzing, and presenting data to business units to highlight opportunities for business or content protection decisions
Strong business acumen with proven ability to identify patterns, understand business drivers, and make sound recommendations; ability to accurately collect, organize, analyze, and disseminate substantial amount of information
Proficient in SQL querying (comfort with temporary tables and multi-step queries); proven ability in leveraging data analysis tools and techniques and extracting insights from data and driving resultant business action
Strong written and verbal communication/presentation skills; excellent attention to detail and organizational skills; ability to work in a fast-paced environment and meet tight deadlines

Education

Management, Master of Business Administration, Completed, March 2001

Dev Bhoomi Uttarakhand University

– Marks 70

Dehradun , UT

Certifications

Certified online Business Analyst, Completed , January 2014

Work Experience

Period: February 2013 - Current

Business Analytics Engineer

Zuventus Healthcare Limited

Mumbai, MH

Drive development of quantitative models necessary for evaluation and implementation of new strategies with product managers
Use data mining, model building, and other analytical techniques to develop predictive models
Develop solutions that utilize the highest standards of analytical rigor and data integrity
Collaborate with finance and product management as a leader in quantitative analysis
Reporting key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy storylines
Analyze and solve business problems at their root, stepping back to understand the broader context
Write high-quality code to retrieve and analyze data
Track the release of new studies, papers, and reports across the globe on piracy, and develop reporting mechanisms to apprise management of recent developments in piracy measurement
Oversee a team of statisticians and analysts to provide deep analytics and generate meaningful reports to track digital theft and hard goods piracy over time
Establish working relationships with industry contacts, including website operators, ISPs, and other rights-holding content companies to aid in the shared development of research and data
Develop and manage scorecards to track the progress of content protection activities. Report out to senior leadership on key metrics and trends

Period: July 2001 - August 2012

Lead Performance & Analytics Engineer

Baker Hughes

Pune, MH

Built business dashboards that show market trend analysis of online retail metrics
Provided business recommendations to decision-makers on how to increase sales revenue, retain and attract more customers and strengthen online presence
Coordinated with the project management team in establishing business analytics systems that ensured timely and orderly completion of reports
Coordinated with business unit teams in planning strategies to improve the performance of management processes and tools