Lead Data and Analytics Insights Analyst

Global Sports Jobs Limited; Pahokee (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Nike is seeking a data and analytics product leader to own BI and analytics strategy across Merchandising and Product Creation. You will establish KPI frameworks, govern metric catalogs, and guide analytics delivery using Tableau, Databricks, and custom applications.

You will partner with cross-functional teams to align analytics roadmaps with business outcomes, translate insights into executive-ready narratives, and drive adoption of data-driven decision making across multiple domains.

Qualifications

• Bachelor's degree in data science, data analytics, or equivalent.
• 5+ years of experience in product management, analytics product ownership, or business intelligence.
• Expertise in KPI frameworks, metrics governance, semantic layer strategy, and analytics delivery.
• Experience curating metric catalogues, defining KPIs, validating metric logic, and driving analytics delivery across multiple tools.
• Strong partnership skills with cross-functional stakeholders.
• Experience assessing data impact, defining analytics requirements, sequencing rollouts, and aligning insights roadmaps.

Responsibilities

• Own BI and analytics product strategy for CP&I, serving as insights leader for Merchandising and Product Creation domains.
• Establish KPI framework and decision intelligence strategy guiding performance measurement across workflows and modalities.
• Develop performance frameworks, analytic questions, and indicators to measure emerging business capabilities.
• Govern KPI catalogue and semantic layer; curate and standardise metric definitions and rules.
• Perform metric modelling and validation including trend analysis and scenario testing against historical data.
• Contribute to metric prioritisation and roadmap ownership; sequence KPIs and scorecards for analytics teams.
• Define cross-workflow analytics requirements and surface dependencies across enterprise KPIs and data domains.
• Own analytics delivery strategy and surface insights to the right personas at the right moment.
• Connect Merchandising, Product Design, and Product Development performance into end-to-end scorecards.
• Translate metrics into clear, decision-ready narratives for executives and cross-functional audiences.
• Partner with Capability Product Managers, analytics engineering peers, and business users.

Skills

KPI frameworks

Metrics governance

Semantic layer strategy

Tableau

Databricks

Custom Apps

Executive storytelling

Cross-functional partnership

Education

Bachelor's degree in data science

Tools

Tableau

Databricks

Unity Catalog

Databricks Lakehouse

Excel/Smartsheets/Airtable

Job description

About the Role

The Consumer Product and Innovation (CP&I) Data and Analytics Engineering team sits at the intersection of product innovation and enterprise data strategy, partnering with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and semantic layer. Reporting to the Engineering Director, the team supports Advanced Analytics, Business Intelligence, and AI solutions that drive business growth. The role owns BI and analytics product strategy within CP&I and serves as insights product leader for Merchandising, Apparel Product Creation, and Footwear Product Creation. It establishes the KPI framework and decision intelligence strategy that enables Merchants, Product Designers, and Developers to measure performance across workflow and operations in every modality.

Key Responsibilities

• Own BI and analytics product strategy within the CP&I organisation, serving as insights product leader for Merchandising, Apparel Product Creation, and Footwear Product Creation.
• Establish the KPI framework and decision intelligence strategy that guides how Merchants, Product Designers, and Developers measure performance across workflow and operations in every modality, identifying decision points lacking performance visibility and defining KPIs, benchmarks
• Performance frameworks, analytic questions, and leading indicators required to measure emerging business capabilities.
• Own the governed KPI catalogue and semantic layer, curating and governing the metric catalogue by inventorying metrics across Tableau, Smartsheets, Airtable, and Excel and activating standardised metric definitions, business rules, and explicit keep, adapt, and deprecate 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 by 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 the 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 into end-to-end integrated scorecards.
• Translate governed metrics and analysis into clear, decision-ready narratives for executives and cross-functional audiences.
• Partner deeply with Capability Product Managers, business users, and analytics engineering peers.

Required Experience & Qualifications

• Bachelor's degree in 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.
• 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 and technical fluency across modern analytics platforms.
• 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.

Preferred Skills

• 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.

The Application Process

Nike offers accommodations to complete the interview process, including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed.