If you are looking to start or grow your career in data analytics, this Data Analytics Engineer opportunity at Cummins Inc. can be a strong stepping stone. This role focuses on real-world data handling, analytics engineering, and business insights while working in a hybrid work model based in Pune, India.
Cummins is known globally for innovation, sustainability, and long-term career growth. This role is well-suited for candidates with basic to moderate experience in Python and SQL, including those transitioning from academics or early professional roles.
- 1 About the Data Analytics Engineer Role
- 2 Job Overview – Data Analytics Engineer
- 3 Key Responsibilities of a Data Analytics Engineer
- 4 Technical Skills Required for Data Analytics Engineer
- 5 Who Can Apply for This Role?
- 6 Why Choose Cummins for a Data Analytics Career?
- 7 Career Growth as a Data Analytics Engineer
- 8 Final Thoughts
About the Data Analytics Engineer Role
The Data Analytics Engineer acts as a bridge between raw data and business decision-making. In this role, you will work closely with data platforms, analytics tools, and business teams to ensure high-quality, well-governed, and usable data.
This position is not only about writing code—it also involves data quality, documentation, governance, collaboration, and storytelling through dashboards and reports.
If you enjoy working with data, finding patterns, and helping business users understand insights, this Data Analytics Engineer role is a great fit.
Job Overview – Data Analytics Engineer
| Details | Information |
|---|---|
| Role Name | Data Analytics Engineer |
| Company | Cummins Inc. |
| Location | Pune, India |
| Work Model | Hybrid |
| Job Type | Experienced (Entry-level friendly) |
| Career Path | Quality / Data & Analytics |
| Req ID | 2422567 |
| Education | Bachelor’s degree in technical discipline |
| Experience | Minimal experience required |
| Primary Skills | Python, SQL, Data Analytics |
Key Responsibilities of a Data Analytics Engineer
As a Data Analytics Engineer, your day-to-day work will include:
🔹 Data Integration & Modeling
- Integrating data from data warehouses, data lakes, and multiple sources
- Supporting ingestion of key domain data into analytics platforms
- Building analytics models aligned with business requirements
🔹 Data Quality & Governance
- Cleaning, validating, and profiling data to ensure accuracy
- Supporting data governance and compliance processes
- Maintaining documentation for data cleansing and transformations
🔹 Analytics & Insights
- Creating dashboards, reports, and BI outputs
- Delivering insights that support business decision-making
- Supporting analytics projects from intake to delivery
🔹 Collaboration & Enablement
- Working with cross-functional teams and business users
- Coaching teams on analytics tools and data usage
- Preparing clear communication materials for stakeholders
Technical Skills Required for Data Analytics Engineer
🧠 Python for Data Analytics
- Strong hands-on experience with Python
- Libraries: Pandas, NumPy, SciPy, Matplotlib, Plotly
- Performing EDA (Exploratory Data Analysis)
- Data cleaning, transformation, and validation scripts
- Automation of recurring analytics workflows
🗄️ SQL & Databases
- Writing optimized SQL queries
- Experience with joins, CTEs, window functions, aggregations
- Working with large, structured datasets
- Reusable and maintainable SQL scripts
📊 Data Visualization
- Building dashboards using Streamlit, Dash, Plotly
- Communicating insights clearly to non-technical users
- Translating business problems into data stories
Who Can Apply for This Role?
This Data Analytics Engineer role is suitable for:
- Graduates with a Bachelor’s degree in Computer Science, IT, or related fields
- Candidates with minimal to 1–3 years of experience in analytics
- Freshers with strong Python + SQL projects or internships
- Professionals transitioning from data analysis, reporting, or BI roles
Exposure to analytics tools is preferred, but hands-on skills matter more than years of experience.
Why Choose Cummins for a Data Analytics Career?
Working as a Data Analytics Engineer at Cummins offers:
- 🌱 Continuous learning and upskilling opportunities
- ⚙️ Exposure to real enterprise-scale data systems
- 🧑🤝🧑 Collaborative and inclusive work culture
- 🌍 Focus on sustainability and long-term impact
- 🏡 Hybrid work flexibility and work-life balance
Cummins invests in employee wellbeing and provides a supportive environment where your analytics skills can grow steadily.
Career Growth as a Data Analytics Engineer
This role builds a strong foundation for future positions such as:
- Senior Data Analyst
- Analytics Engineer
- Data Engineer
- Business Intelligence Engineer
- Data Governance Specialist
With consistent learning, this Data Analytics Engineer role can open doors to advanced analytics and data leadership paths.
Final Thoughts
If you are searching for a Data Analytics Engineer job in Pune, this opportunity at Cummins offers the right mix of technical learning, real-world exposure, and career stability. With Python, SQL, and analytics fundamentals, you can confidently apply and grow in this role.
✨ Wishing you all the best in your analytics career journey—keep learning, keep building, and keep moving forward!
