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

JPMorganChase·Oracle Recruiting
Mumbai, IndiaFull-timePosted Jul 7, 2026
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You are a strategic thinker passionate about driving solutions in BI and Analytics. You have found the right team.

As BI Developer - Analyst 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

  • Bachelors in MIS/CS/Engineering (or equivalent BI development experience) with 2+ 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 workflows and automated deployment. Experience on scheduling tools like Control M

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