BI & Analytics Lead
2 days ago
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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