Data Analyst – Data Modelling, SQL & Power BI

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.