Director of Analytics - Direct

Hasbro•Renton, WA

About The Position

Build the Analytics Foundation for DTCaaS Define the unified data architecture across our eCommerce platform and integrated systems. Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance. Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands. Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service). Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights. Deliver Scalable, Reusable Insights Products Build automated reporting and insight tools for leadership reviews, business insights, and operational actions. Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations. Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation. Improve business insights, merchandising insights, and logistics planning across regions. Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation). Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem.

Requirements

10+ years of experience in data analytics, BI, analytics engineering, or data engineering.
5+ years leading multi-disciplinary analytics or data teams.
Proven ability to architect and scale data models, dashboards, forecasting tools, and analytics foundations for commerce or consumer-facing platforms.
Strong understanding of how analytics informs commerce, marketing, finance, supply chain, customer experience, and operations.
Experience partnering with engineering and product teams to influence data models, instrumentation, and system design.
Exceptional communication skills, able to simplify complexity and influence executives and cross-functional leaders.
Familiar with modern data platforms and analytics engineering concepts (Snowflake, dbt, Databricks, Tableau/Power BI), with the ability to guide technical teams and set standards without being hands-on.
Demonstrated success delivering measurable business impact through analytics
Proven ability to influence senior stakeholders and drive alignment across functions to advance enterprise-wide analytics initiatives.
Able to apply global privacy requirements (GDPR, CCPA, COPPA) when shaping data models, instrumentation plans, and reporting systems.
Experienced designing insights and forecasting frameworks that scale across multiple brands and regions, accounting for differences in currency, tax/VAT, catalog structure, and fulfillment workflows.
Background applying predictive analytics, or experimentation frameworks to strengthen demand planning, customer insight, and conversion optimization.

Responsibilities

Define the unified data architecture across our eCommerce platform and integrated systems.
Establish cross-brand KPIs and measurement standards spanning sales, forecasting, fulfillment, customer behavior, and financial performance.
Own the semantic layer, shared dashboards, and reporting assets used across all DTC brands.
Lead instrumentation strategy to ensure consistent, high-quality events and insights across journeys (acquisition, checkout, campaigns, fulfilment, service).
Implement data governance, privacy-by-design, and compliance frameworks in partnership with Legal, Security, and IT to ensure regulatory readiness and trusted insights.
Build automated reporting and insight tools for leadership reviews, business insights, and operational actions.
Develop dashboards and analytic products for sales, marketing, supply chain, finance, and operations.
Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation.
Improve business insights, merchandising insights, and logistics planning across regions.
Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation).
Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem.