BI Lead
4+ years of hands-on experience in Business Intelligence, Analytics, or Data Visualization
Strong experience with at BI tools like: Power BI, Amazon QuickSight, Metabase, or Apache Superset
Proven experience in leading end-to-end BI projects, from requirements gathering to dashboard delivery and adoption
Experience working closely with business stakeholders (Sales, Marketing, Finance, Operations, Supply Chain, etc.)
Prior experience leading or mentoring a team of BI engineers/analysts
Good understanding of AWS data and analytics ecosystem
Experience connecting BI tools to Data Lakes and Data Warehouses
Lead the design, development, and delivery of BI dashboards and analytical solutions aligned to business goals
Own end-to-end BI projects, including:
Business requirement gathering
KPI definition and metric standardization
Data modeling and semantic layer design
Dashboard development and performance optimization
Act as the primary point of contact for customers/business stakeholders, driving discussions, demos, and feedback cycles
Translate business problems into analytical solutions and ensure insights are actionable and decision-ready
Manage and mentor a team of BI engineers, including task planning, reviews, and best-practice enforcement
Ensure data accuracy, consistency, and governance across dashboards and reports
Work closely with data engineering teams to:
Connect BI tools to AWS Data Lakes (S3, Athena, Glue, Iceberg)
Integrate with Data Warehouses (Redshift, Snowflake, Databricks, etc.)
Optimize dashboard performance, data refresh strategies, and cost efficiency
Drive BI adoption, enable self-service analytics, and define visualization standards
Understanding of security, row-level security (RLS), and access control in BI tools
Evaluate new capabilities, and recommend adoption strategies with GenAI integrated BI requests
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