Capgemini is hiring for the position of Data Analytics in Pune; Mumbai; Bangalore, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Capgemini |
| Position | Data Analytics |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | Freshers/ Experienced |
| Location | Pune; Mumbai; Bangalore, India |
Key Responsibilities:
- Analyze large and complex datasets to identify trends, patterns, and actionable insights that support informed business decision-making.
- Develop and optimize SQL queries, data models, and analytical datasets to enable accurate reporting and advanced analytics.
- Design, build, and maintain business intelligence dashboards and reports using enterprise BI tools.
- Utilize cloud platforms such as Azure, AWS, or GCP to access, process, and analyze data efficiently.
- Perform data preparation, transformation, and validation using Python, PySpark, and Databricks to ensure data accuracy and reliability.
- Collaborate with data engineering teams to develop data pipelines, implement data quality checks, and optimize system performance.
- Apply data modeling best practices to create scalable, reusable, and high-performing analytical datasets.
- Support AI-driven analytics initiatives by conducting exploratory data analysis and preparing features for advanced modeling.
- Contribute to Agile delivery processes, including sprint planning, backlog refinement, and sprint demonstrations.
- Maintain project documentation and governance artifacts using tools such as JIRA, Confluence, and DevOps platforms.
Eligibility Criteria:
- Demonstrate strong proficiency in SQL for data analysis and data validation activities.
- Possess hands-on experience in using Python for data analysis, data transformation, and process automation.
- Have experience working with business intelligence tools such as Power BI, Tableau, Looker, or similar platforms.
- Exhibit practical experience with at least one cloud platform, including Azure, AWS, or GCP.
- Maintain working knowledge of PySpark and Databricks for large-scale data processing and distributed computing.
- Demonstrate a solid understanding of data modeling concepts, including dimensional modeling, fact tables, and dimension tables.
- Possess a well-balanced skill set across Data Analytics, Data Engineering, Data Modeling, and Business Intelligence domains.
- Show familiarity with Agile methodologies and collaboration tools such as JIRA and Confluence.
- Have experience implementing DevOps practices and working with CI/CD pipelines for data-driven solutions.
About Company:
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
