About The Position

The Lead Data and Analytics Insights Analyst owns BI and analytics product strategy within Nike’s Consumer Product and Innovation (CP&I) organization. The role leads the KPI framework, governed metric catalog, semantic layer, and decision intelligence strategy for Merchandising, Apparel Product Creation, and Footwear Product Creation. It establishes how Merchants, Product Designers, and Developers measure performance across workflows and operations. The analyst identifies decisions that lack performance visibility, defines KPIs and benchmarks for emerging capabilities, and performs applied metric modeling and validation. Working with Capability Product Managers, business users, analytics engineering teams, and other stakeholders, the role translates governed metrics into decision-ready narratives and integrated scorecards for executives and cross-functional audiences. It also coordinates analytics delivery across tools, modalities, and enterprise consumers.

Requirements

  • Bachelor’s degree in data science or data analytics, or an equivalent combination of education, experience, or training.
  • At least 5 years of experience in product management, analytics product ownership, or business intelligence.
  • Demonstrated expertise in KPI frameworks, metrics governance, semantic layer strategy, and applied analytics.
  • Experience curating metric catalogs, defining KPIs, validating metric logic, and driving analytics delivery across multiple tools and modalities, such as Tableau, Databricks, and custom apps.
  • Strong cross-functional partnership skills, including working with Capability Product Managers, analytics engineering teams, and business users in complex, matrixed organizations.
  • Experience assessing data impact, defining analytics requirements, sequencing rollouts, and aligning insights roadmaps with named business outcomes and decision-making needs.

Nice To Haves

  • Experience with Unity Catalog, Databricks Lakehouse, or similar governed data catalog platforms.
  • Familiarity with Nike or retail and 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.

Responsibilities

  • Own the KPI framework and curate and govern the metric catalog, inventorying metrics across Tableau, Smartsheets, Airtable, and Excel and activating standardized definitions, business rules, and keep, adapt, or deprecate decisions in a governed catalog and semantic layer.
  • Establish the decision intelligence strategy by defining KPIs, performance frameworks, and analytic questions that guide decisions, and identify metric gaps for emerging strategies.
  • Perform applied metric modeling and validation, including statistical sanity checks, trend and outlier analysis, and scenario testing of proposed KPI formulas against historical data.
  • Contribute to metric prioritization and roadmap ownership by sequencing KPIs, scorecards, and insights according to their influence on business outcomes and driving analytics engineering backlogs.
  • Define cross-workflow analytics requirements and assess input data impact, including determining whether 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 by 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 in end-to-end integrated scorecards.
  • Translate governed metrics and analysis into clear, decision-ready narratives for executives and cross-functional audiences.
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