Role & responsibilities

- Design, develop, automate, maintain and enhance BI products from wing to wing. Including gathering explicit requirements, programming/data pulling, ETL, automation, and product delivery

- Daily use of SQL, SAS, and Python (future), ensuring consistent definitions and governance

- Enhance BI reporting products per modification request and maintain documentation

- Drive measurable operational efficiency and standard processes for BI product delivery

- Deliver on projects/initiatives, assigned by BI PM and management to advance team and business priorities, including new partner onboarding and Cloud/AI journey

- Be an SME and business consultant by understanding business needs and performance trends; share analytical thinking with solutions translating needs into insights and recommendations

- Upgrade knowledge on BI technical and functional advancements (AI) and deploy learnings on existing and future deliverables be the SME and trainer to teams

- Collaborate with US and India cross functional teams (including Tech, Finance, Marketing) to strengthen BI practice

- Engage in meetings with BI PM and with internal and external stakeholders

- Optimize performance of BI solutions (query tuning,



extract strategies, aggregations, incremental refresh patterns) and support scalability

- Translate user stories and acceptance criteria (defined with the BI Product/Project Manager) into technical design and build tasks; provide LOE estimates and highlight dependencies/risks

- Partner with stakeholders to clarify business questions, identify underlying decision needs, and propose the most appropriate BI solution (dashboard, dataset, alerting, or standardized report)

- Document metric definitions, business logic, data sources, refresh cadence, and known limitations; maintain dashboard/report documentation for supportability

- Apply access and security requirements (e.g., row-level security concepts, permission) as defined by platform standards and in coordination with administrators

Preferred candidate profile

- Bachelors Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with relevant years of hands-on relevant analytics/business intelligence experience, or in lieu of a degree, relevant years of analytics/business intelligence experience.

📌 Tableau + SQL (Bengaluru)
🏢 Genpact
📍 Bengaluru