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Director of Analytics - Direct

Job in Renton, King County, Washington, 98056, USA
Listing for: Hasbro
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We’re looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years and we believe the best is yet to come.

What

You’ll DoBuild 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.
  • Introduce predictive modeling for sell‑thru, inventory health, fulfillment operations, and customer lifetime value.
  • Create self‑service analytics capabilities that empower teams while maintaining governance and data quality.
  • Define and operationalize analytics success metrics, such as insight adoption, forecast accuracy, and cycle‑time reduction, to demonstrate business impact.
Drive Operational Intelligence and Cost Transparency
  • Develop models for commerce economics: shipping, payments, storage, returns, promotions, and platform cost allocation.
  • Partner with Finance, Supply Chain, and Operations to enable data‑driven planning and efficiency improvements.
  • Improve business insights, merchandising insights, and logistics planning across regions.
  • Integrate analytics outcomes into annual and long‑range planning processes, securing executive sponsorship and linking initiatives directly to business goals.
Lead and Grow a High-Performing Analytics Organization
  • Lead business intelligence engineering and analytics talent across multiple domains.
  • Mentor and develop team members while promoting excellence, collaboration, and innovation.
  • Own the analytics intake, prioritization, roadmaps, and delivery and ensure visibility and alignment across functions.
  • Partner closely with Product, Engineering, Marketing, Finance, Supply Chain, and CX to embed analytics into roadmap planning and decision‑making.
  • Influence leadership through clear storytelling, strategic framing, and data‑driven recommendations.
Shape the Future of Hasbro’s Data & Analytics Capabilities
  • Evaluate and integrate emerging technologies (AI/ML, predictive fulfillment, experimentation platforms, observability, automation).
  • Define long‑term principles and architectures that scale across brands, markets, and product lines.
  • Champion Data Ops, testing, lineage, and reliability standards to ensure trust in insights.
  • Drive platform performance, cost governance, and continuous improvement across data warehouses, BI tools, and event pipelines.
  • Manage key vendor and technology partnerships to optimize platform performance, cost efficiency, and innovation across the data ecosystem.
Minimum Qualifications
  • 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…
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