Lead Data and Analytics Insights Analyst

This role owns the BI and analytics product strategy within the Consumer Product and Innovation (CP&I) organisation, serving as the insights product leader for Merchandising, Apparel Product Creation, and Footwear Product Creation. It establishes the KPI framework and decision intelligence strategy that drives how Merchants, Product Designers, and Developers measure performance across workflow and operations. The team sits at the intersection of product innovation and enterprise data strategy, reporting to the Engineering Director, and partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and semantic layer.

• Own the KPI framework and metric catalogue curation and governance, inventorying metrics across Tableau, Smartsheets, Airtable, and Excel, and activating a governed catalogue and semantic layer with standardised metric definitions, business rules, and explicit keep, adapt, and deprecate decisions.
• Establish decision intelligence strategy by defining the KPIs, performance frameworks, and analytic questions that guide decisions and surfacing metric gaps for emerging strategies before they block decisions.
• Perform applied metric modelling and validation, including statistical sanity-checking, trend and outlier analysis, and scenario testing of proposed KPI formulas against historical data to prove metric logic.
• Contribute to metric prioritisation and roadmap ownership, sequencing KPIs, scorecards, and insights that most influence business outcomes and drive backlogs for analytics engineering teams.
• Define cross-workflow analytics requirements and assess input data impact, determining whether new capability data exists in Nike's Product Data Foundation or requires new attributes, and surfacing dependencies across enterprise KPIs and data domains.
• Own analytics delivery strategy, deciding how insights are surfaced across modalities so the right metrics, context, and actions reach the right persona at the right moment.
• Connect Merchandising, Product Design, and Product Development performance into end-to-end integrated scorecards, and translate governed metrics and analysis into clear, decision-ready narratives for executives and cross-functional audiences.
• Own the governed KPI catalogue and semantic layer, identifying decision points lacking performance visibility and defining the KPIs, benchmarks, and leading indicators required to measure emerging business capabilities.
• Partner with Capability Product Managers, business users, and analytics engineering peers to align on metric definitions and analytics delivery.
• Coordinate delivery across concurrent tool rollouts and enterprise consumers.

• Bachelor's degree in data science, data analytics, or an equivalent combination of education, experience, or training.
• 5+ years of experience in product management, analytics product ownership, or business intelligence, with demonstrated expertise in KPI frameworks, metrics governance, semantic layer strategy, and applied analytics.
• Proven experience curating metric catalogues, defining KPIs, validating metric logic, and driving analytics delivery across multiple tools and modalities (e.g., Tableau, Databricks, Custom Apps).
• Strong partnership skills with cross-functional stakeholders including Capability Product Managers, analytics engineering teams, and business users across complex, matrixed organisations.
• Experience assessing data impact, defining analytics requirements, sequencing rollouts, and aligning insights roadmaps to named business outcomes and decision-making needs.
• Strong product leadership, technical fluency across modern analytics platforms, and the ability to connect Merchandising, Product Design, and Development performance into integrated business scorecards.
• Exceptional stakeholder management, a data-driven mindset, and the ability to coordinate delivery across concurrent tool rollouts and enterprise consumers.

• Experience with Unity Catalog, Databricks Lakehouse, or similar governed data catalogue platforms.
• Familiarity with Nike or retail/consumer product creation and merchandising workflows.
• Experience with executive storytelling, cross-domain performance integration, and influencing product strategy across multiple stakeholders in a technical analytics or data product environment.