
Data Analyst – Data Modelling, SQL & Power BI
Bosch Group · bangalore, India
- Software & SaaS
- 10,001+ employees
- Gerlingen-Schillerhöhe, Baden-Wuerttemberg
Strong hiring record · median 38 days open
All reasons
In its favour
- Still listed on the employer's own board
- 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.
Skills
- SQL
- Power BI
- ETL
- ELT
- T-SQL
- SSIS
- DAX
- SQL Server
- Oracle Database
- Azure
- GitHub
- Bitbucket
- Python
- Databricks
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