01Key Responsibilities
Design, develop, automate, maintain and enhance BI products from wing to wing, including gathering clear requirements, programming/data pulling, ETL, automation, product delivery, and maintaining documentation/job aide.Daily use of SQL, SAS, and Python (future), ensuring consistent definitions and process governance.Drive measurable operational efficiency and standard processes for BI product delivery.Deliver on projects and initiatives, assigned by VP Business Intelligence 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 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 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.
Required Skills/Knowledge:
Minimum 4+ years of hands-on experience in creating BI, reporting and data visualization solutions through tools such as Tableau, Power BI, or similar BI/visualization platforms and BI best practices (performance, usability, basic security/access concepts).Minimum 4+ years of hands-on experience with SAS programing language and with relational databases (SQL, MySQL, PostgreSQL, SQL Server) for validation, reconciliation, and data-driven decisioning.Deep understanding of data modeling concepts (schemas, dimensional modeling basics) and data warehousing fundamentals (e.g., Data Lakes, Snowflake, AWS Redshift).Working knowledge of data warehousing/lakehouse concepts, ETL patterns, and data modeling fundamentals (schemas, dimensions/facts .
