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Bosch Group

Data Analyst – Data Modelling, SQL & Power BI

bangalore, IN · On-site · Full-time

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About the role

SQLETLData WarehousingPower BIPythonDatabricksAzureCI/CDData AnalysisStakeholder ManagementQuality Assurance
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. - 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.   - 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.