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Data Analyst – Data Modelling, SQL & Power BI

Bosch

  • bangalore, , India
  • full-time
  • Posted today

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.