Tableau + SQL

Role & responsibilities

• Design, develop, automate, maintain and enhance BI products from wing to wing. Including gathering clear 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.