If you are looking to build or grow your career as a Data Analyst, this opportunity at Capgemini Engineering in Bangalore can be a strong next step. This role is designed for professionals who enjoy working with large datasets, uncovering patterns, and converting raw data into meaningful business insights using modern analytics and big data tools.
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- 1 🌍 About the Company – Capgemini Engineering
- 2 🚀 Overview of the Data Analyst Role
- 3 📋 Job Details at a Glance
- 4 🧑💻 Key Responsibilities of a Data Analyst
- 5 🛠 Mandatory Skills for Data Analyst
- 6 ➕ Good-to-Have Skills
- 7 🤝 Soft Skills That Matter
- 8 📈 Career Growth as a Data Analyst
- 9 📝 Eligibility & Experience Requirements
- 10 🌟 Why Choose This Data Analyst Opportunity?
- 11 ✅ Final Thoughts
🌍 About the Company – Capgemini Engineering
Capgemini Engineering is a global leader in engineering and R&D services, helping organizations accelerate innovation through digital transformation, analytics, and advanced software engineering. With a strong global presence and deep domain expertise, the company works across industries such as automotive, manufacturing, energy, and technology.
Joining Capgemini Engineering means working on complex, real-world problems while collaborating with global teams and stakeholders.
🚀 Overview of the Data Analyst Role
The Data Analyst role focuses on analyzing large-scale vehicle and operational datasets, building scalable analytics solutions, and delivering actionable insights to global stakeholders. This position is ideal for candidates with hands-on experience in PySpark, Databricks, and visualization tools like Tableau, who want to work in a data-driven engineering environment.
You will collaborate closely with data engineers, pipeline owners, and product teams to ensure data accuracy, performance, and business alignment.
📋 Job Details at a Glance
| Category | Details |
|---|---|
| Job Role | Data Analyst |
| Company | Capgemini Engineering |
| Location | Bangalore, Karnataka, India |
| Employment Type | Permanent / Full-Time |
| Experience Level | Experienced Professionals |
| Work Domain | Software Engineering & Data Analytics |
| Posted Date | 13 January 2026 |
| Reference Code | 374875 |
🧑💻 Key Responsibilities of a Data Analyst
As a Data Analyst, your responsibilities will include:
- Performing big data analysis on large-scale vehicle datasets
- Building and enhancing data pipelines for efficient data extraction and processing
- Working with PySpark and Databricks to process structured and unstructured data
- Conducting data cleaning, validation, and plausibility checks
- Creating gold and silver data layers for analytics consumption
- Applying statistical analysis techniques to support data-driven decisions
- Designing and maintaining interactive dashboards and reports using Tableau
- Performing root cause analysis to identify trends and anomalies
- Collaborating with global teams to align analytics outputs with business goals
This role requires both technical expertise and strong collaboration skills.
🛠 Mandatory Skills for Data Analyst
Candidates applying for this Data Analyst position should have:
| Skill Area | Required Tools / Knowledge |
|---|---|
| Big Data | PySpark, Databricks |
| Databases | SQL |
| Cloud | Microsoft Azure |
| Visualization | Tableau |
| Analytics | Statistical analysis, Data pipelines |
| Data Handling | Data gathering, cleaning, validation |
➕ Good-to-Have Skills
While not mandatory, the following skills are an added advantage for a Data Analyst:
- Power BI
- Automotive or Powertrain domain knowledge
- Experience working with large-scale enterprise data systems
- Strong documentation and reporting skills
🤝 Soft Skills That Matter
Successful Data Analyst professionals typically demonstrate:
- Excellent written and verbal communication skills
- Strong problem-solving and analytical thinking
- A proactive, self-driven attitude
- Ability to work effectively in global and cross-functional teams
- Flexibility and adaptability in dynamic project environments
📈 Career Growth as a Data Analyst
This Data Analyst role provides opportunities to grow into positions such as:
- Senior Data Analyst
- Analytics Consultant
- Data Engineer
- Analytics Lead
- Domain Specialist (Automotive / Engineering Analytics)
Capgemini Engineering supports continuous learning and professional development through structured career paths.
📝 Eligibility & Experience Requirements
| Criteria | Details |
|---|---|
| Education | Bachelor’s degree in Engineering, Computer Science, or related field |
| Supervision | Works with minimal supervision |
| Work Style | Handles multiple tasks with mid-term planning horizon |
🌟 Why Choose This Data Analyst Opportunity?
- Work on real-world, large-scale engineering datasets
- Exposure to global automotive and engineering projects
- Strong focus on data quality, scalability, and insights
- Opportunity to apply advanced analytics in production environments
- Collaborative culture with strong engineering standards
✅ Final Thoughts
If you are a professional looking to strengthen your career as a Data Analyst, this role at Capgemini Engineering in Bangalore offers an excellent blend of technical depth, business impact, and long-term growth. With exposure to big data platforms, modern visualization tools, and global stakeholders, this opportunity can significantly enhance your analytics journey.
✨ We wish all candidates the very best. Keep building your skills, stay curious with data, and keep applying—the right opportunity will come your way.
