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

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: Designs the technical and information architecture for the Analytics DataMarts 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 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: Designs the technical and information architecture for the Analytics DataMarts 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