Lead Data & Analytics Insights & KPI Strategy

Nike Inc.

Beaverton (OR)

Hybrid

USD 140,000 - 170,000

Full time

6 days ago

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Job summary

Nike Inc. is seeking a Lead Data and Analytics Insights Analyst to own the BI and analytics product strategy within the CP&I organization, guiding KPI frameworks, metric catalogs, and the semantic layer across Merchandising, Apparel Product Creation, and Footwear Product Creation.

The role requires strong product leadership, technical fluency across analytics platforms, and the ability to align analytics delivery with business outcomes through executive storytelling and cross-functional

Qualifications

Bachelor's degree data science, data analytics or 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 catalogs, 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 organizations
Experience assessing data impact, defining analytics requirements, sequencing rollouts, and aligning insights roadmaps to named business outcomes and decision-making needs

Responsibilities

Own the KPI framework and metric catalog curation and governance - inventory metrics across Tableau, Smartsheets, Airtable, and Excel, and activate a governed catalog and semantic layer with standardized metric definitions, business rules, and explicit keep, adapt, and deprecate decisions
Establish decision intelligence strategy - 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 modeling and validation - statistical sanity-checking, trend and outlier analysis, and scenario testing of proposed KPI formulas against historical data to prove metric logic
Contribute to metric prioritization 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