BI & Analytics Lead

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.