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# Data Analytics Manager

- **Company:** Hasbro
- **Location:** Renton, WA, United States
- **Experience:** Experienced
- **Salary:** $125,900.0 - $188,900.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Python (Programming Language), Data Analytics
- **Published:** July 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5f2214be2f14142b

## About the Role

* Bachelor's degree in finance, business, data science, economics, or another quantitative field. Graduate degree is a plus.
 * 7+ years of relevant work experience, including at least 2 years of experience leading a team.
 * Experience using R, python, or similar tools to conduct data analysis.
 * Working knowledge of SQL.
 * Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes.
 * Impeccable attention to detail.
 * Knowledge of and familiarity with games such as Magic: The Gathering.

## Description

Analyze - Work with business partners to deep dive into profitability opportunities related to pricing, inventory, play, and revenue recognition. Iterate quickly to refine work and meet deadlines.

 * Model - Build models to explore different business strategies and identify areas of growth. Partner with economists and financial analysts to reconcile revenue numbers.
 * Communicate - Explain findings to partners using clear visuals and concise communication. Incorporate stakeholder feedback into analytics so your team's work is usable, useful, and used.
 * Collaborate - Handle ad-hoc queries from leadership and partner with them to strategize about the business. Prioritize stakeholder requests to put limited resources towards high impact tasks. Work with technical teams to evaluate and communicate data needs and ensure the right data is available.
 * Cultivate - Lead a team of 3-5 other data analysts, identifying opportunities for your team to shine and grow. Identify opportunities for new projects, using existing tools in new ways, using existing data differently, and generally to demonstrating the value of data.


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