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.
  
   

Qualifications :

• 35 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.

Remote Work :

No

Employment Type :

Full-time