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BI Lead

Awign Expert (Awign) · awignexpert.com
BengaluruLead / Manager3–4 yrs
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The job in short

BI lead.

SnowflakeDatabricksAWSPower BIGenAIMarketingSupply chain

Details

Found
25 d ago · posted 2026-02-03
Location as listed
Bangalore North, Karnataka, India
Role
Data / BI Analyst
Source
The company’s own careers site

Full description

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 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 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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