Data Analyst – Data Modelling, SQL & Power BI

About the job

Company Description Bosch Global Software Technologies Private Limited  is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description - Build and optimize ETL/ELT processes for data ingestion, transformation, and integration across multiple sources.

- Perform end-to-end data modelling including extraction, transformation, cleansing, validation, and data quality assurance.

- Develop, validate, and maintain dashboards and reports using Power BI.

- Develop and optimize ETL processes using SQL, T-SQL, SSIS, and related tools.

- Analyze large and complex datasets to generate insights, trends, and actionable business outcomes.

- Collaborate with business stakeholders and technical teams to translate requirements into scalable analytics solutions.

- Ensure data quality, consistency, governance, and reliability across analytics platforms.

- Work on SSIS/SSAS-based data warehouse and reporting solutions where required, based on project allocation.

- Maintain technical documentation, data dictionaries, and process documentation.

Qualifications - 3–5 years of experience in Data Analytics, Data Engineering, or BI Development.

- Expert-level SQL and T-SQL (Stored procedure, functions, views, CTEs, Triggers) skills with ability to write complex queries for analysis, validation, and performance tuning.

- Strong Power BI development experience including DAX, RLS, Gateway, workspace management, and administration.

- Hands-on experience with SSIS and exposure to SSAS for ETL, data warehousing, and reporting solutions.

- Exposure to databases such as SQL Server, Oracle, and enterprise data warehousing environments.

- Exposure to Azure, MS Fabric, GitHub, and Bitbucket.

- Understanding of CI/CD and version control practices.

- Knowledge of Python is good to have.

- Exposure to tools like Databricks, Alteryx or KNIME will be an added advantage.

- Strong communication and stakeholder management skills.

- Graduate in Engineering, Computer Science, IT, or related discipline.

Additional Information