Data Analytic Leader

Responsibilities:

• Analytics Strategy & Vision:
  • Define the analytics roadmap for Supply Chain 2.0 dashboards: KPls, adoption goals, and data-driven decision-making culture.
  • Align dashboard content with business priorities (e.g., forecast accuracy, service level, inventory optimization, OTIF).
• Dashboard Rebuild & Governance:
  • Redesign dashboards for clarity, usability, and scalability.
  • Define and enforce governance standards: metric definitions, golden table usage, semantic layer consistency.
  • Build a centralized catalog of KPIs and ensure alignment across business units.
• Team Leadership:
  • Lead and mentor a team of data analysts & BI developers.
  • Promote self-service BI for business teams while ensuring controlled, governed data models.
• Adoption & Stakeholder Engagement:
  • Drive dashboard adoption through training, documentation, and storytelling. Partner with Supply Chain leaders, Biz User to ensure analytics are trusted and actionable.
  • Collect feedback from users to iterate and improve dashboards.
• Performance & Usage Monitoring:
  • Track dashboard usage metrics. Implement Power BI usage monitoring and create internal adoption KPIs.
  • Optimize dashboards for performance, refresh efficiency, and scalability.

Skill:

• Technical & Analytics:
  • Strong Power BI expertise (semantic models, DAX, visualization best practices.
  • Understanding of data architecture (One Lake, Fabric, dataflows, golden tables).
  • Knowledge of supply chain KPIs and analytics (Forecast Accuracy, MAPE/WMAPE, Inventory Days, OTIF).
• Leadership & Strategy:
  • Proven ability to lead analytics teams and drive adoption across functions.
  • Excellent stakeholder management with Supply Chain.
  • Strong storytelling with data to influence senior leadership decisions.
• Governance & Process:
  • Experience defining data governance frameworks (single source of truth, metric ownership).
  • Ability to establish standards for dashboard development (templates, naming conventions, documentation).
• Soft Skills:
  • Strong communicator, able to translate business needs -› analytics requirements.
  • Influencer who can drive cultural change towards data-driven decision-making.

Experience:

• 4+ years in analytics, Bl, or data-driven roles.
• Proven experience leading Bi/analytics teams (3-10 people).
• Deep understanding of business context (Supply Chain, Sales, KPIs).
• Strong in Power BI governance, adoption strategy, stakeholder management.
• Not hands-on coding every day, but can review pipelines, semantic models, DAX.
• Can present to senior leadership, push adoption across functions.