BI Developer (Gen AI) – BI and Analytics - Associate

You are a strategic thinker passionate about driving solutions in  BI and Analytics . You have found the right team.

As  BI Developer - Associate  in our Transformation and Analytics  team , you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities:

• Design’s the technical and information architecture for the  Analytics DataMart’s and Reporting Environments

• Focuses on data modelling and database design for the AWM LOB

• Support the MIS team in query optimization, and deployment of BI technologies including but not limited to Thoughtspot, Databricks, Tableau.

• Develop, deploy, and maintain GenAI-based solutions.

• Scope, prioritize and co-ordinate activities with the product owners. Partner with technology teams to identify solutions required to establish a robust Analytics and Transformation environment. 
• Design and develop complex queries which caters to data inputs for the dashboards/reports from large data sets.

• Work on agile improvements by sharing experiences and knowledge with the team. Advocate and steer the team to implement CI/CD (Devops) workflow 

• Overall, the ideal candidate for this position will be highly skilled in reporting methodologies, data manipulation & analytics tools and have expertise in the visualization and presentation of enterprise data

Required qualifications, capabilities and skills

• Bachelor’s in MIS/CS/Engineering (or equivalent BI development experience) with 6+ years in data engineering and visualization; strong DW/BI foundation.
• Strong Python (PySpark/PySQL) and SQL skills, with experience building end-to-end ETL/data pipelines across MS SQL Server, Snowflake, Databricks, and cloud analytics.
• Proven ability to handle large, multi-source datasets and deliver scalable database architecture plus end-to-end BI dashboards/reports.

• Exposure to GenAI prompt/context engineering frameworks; strong communication and analytical skills.

   

Preferred qualifications, capabilities and skills

• Exposure to data science is an added advantage 

• Working knowledge on CI/CD work flows and automated deployment. Experience on scheduling tools like Control M