Lead Data and Analytics Insights Analyst

Nike•Beaverton, OR

About The Position

The Lead Data and Analytics Insights Analyst will own BI and analytics product strategy within Nike’s Consumer Product and Innovation (CP&I) organization. The role leads the KPI framework, governed metric catalog, and semantic layer that bring consistency to analytics across Merchandising, Apparel Product Creation, and Footwear Product Creation. It establishes how teams measure performance across workflows and operations and identifies decision points that lack performance visibility. The analyst partners with Capability Product Managers, analytics engineering teams, business users, and other cross-functional stakeholders to define and validate metrics, shape analytics roadmaps, and coordinate delivery across tools and modalities. The role applies metric modeling and validation, connects performance across Merchandising, Product Design, and Product Development in integrated scorecards, and translates governed metrics and analysis into decision-ready narratives for executives and cross-functional audiences.

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 partnership skills with cross-functional stakeholders, including 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 to 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 KPI framework, metric catalog curation, and governance, including inventorying metrics across Tableau, Smartsheets, Airtable, and Excel and making keep, adapt, or deprecate decisions.
Activate a governed metric catalog and semantic layer with standardized metric definitions and business rules.
Establish decision intelligence strategy by defining KPIs, performance frameworks, and analytic questions that guide decisions and identifying 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 business impact 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.
Surface dependencies across enterprise KPIs and data domains.
Own analytics delivery strategy by deciding how insights are surfaced across modalities so metrics, context, and actions reach the appropriate personas.
Connect Merchandising, Product Design, and Product Development performance into end-to-end integrated scorecards.
Translate governed metrics and analysis into clear, decision-ready narratives for executives and cross-functional audiences.