BI & Analytics Lead

22 hours ago

Gurugram, India Worldclass Tech Talent Full time

Role Summary

TheBI & Analytics Leadwill own the end-to-end data architecture and BI implementation without building an in-house data engineering team. This role will manage external BI/data development agencies, define the data strategy and deliver self-service dashboards and reports to senior leadership.

Key Responsibilities

Data Strategy & Architecture

  • Audit and map all critical data sources (CRM, e-commerce, POS/concessions).
  • Define a unified data schema and select the appropriate data warehouse and ETL/ELT tools.

Vendor Management

  • Draft clear RFPs/SOWs and evaluate proposals from 35 specialized BI agencies.
  • Negotiate contracts, SLAs and oversee external delivery milestones, code reviews and data-quality checks.

BI Implementation

  • Set up and configure a BI platform (Power BI, Tableau, Looker, etc.) with real-time dashboards.
  • Design data models, KPIs, metrics and self-service reporting layers for various business functions.

Analytics & Insights

  • Perform trend analyses, anomaly detection and cohort reporting.
  • Present insights and regular performance reviews to the CFO/COO/CEO.

Data Governance & Quality

  • Establish data-quality checks, version control (Git, CI/CD for analytics) and documentation standards.
  • Train internal power users on self-service reporting best practices.

Stakeholder Engagement

  • Translate business requirements into technical deliverables.
  • Liaise with merchandising, sales, marketing and finance teams to prioritize analytics use cases.

Required Qualifications & Skills

  • 610 years' experience in Business Intelligence, Data Analytics or Data Strategy, preferably in retail or fashion.
  • Hands-on expertise with at least one BI tool (Power BI, Tableau, Looker) and advanced SQL skills.
  • Familiarity with cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery) and ETL frameworks.
  • Proven track record of managing third-party BI/data development agencies from RFP to delivery.
  • Strong business acumen in retail/fashion metrics: SKU hierarchies, promotions, margins, sales analysis.
  • Excellent stakeholder management and communication skills.
  • Bachelor's/Master's in Computer Science, Statistics, Engineering or MBA with analytics focus.

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