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BI Lead

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Awign
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Location: Bengaluru

Immediate to 30-day joiners

Relevant Exp - 3-4yrs

Location:

Bangalore/ Coimbatore

BI Lead

Experience:

4+ years of hands-on experience in Business Intelligence, Analytics, or Data Visualization

Strong experience with at BI tools like:
Power BI, Amazon Quick Sight, 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

Roles & Responsibilities :
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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