Principal Analytics Engineer

Hasbro is a leading games, IP and toy company whose mission is to create joy and community through the magic of play. With 165 years of expertise, Hasbro delivers groundbreaking play experiences and reaches more than 1 billion fans annually around the world, through physical and digital games, video games, toys, licensed consumer products, location-based entertainment, film, TV and more.

Through its franchise-first approach, Hasbro unlocks value from both new and legacy IP, including MAGIC: THE GATHERING, DUNGEONS & DRAGONS, MONOPOLY, HASBRO GAMES, NERF, TRANSFORMERS, PLAY-DOH and PEPPA PIG, as well as premier partner brands. Powered by its portfolio of thousands of iconic marks and a diversified network of partners and subsidiary studios, Hasbro brings fans together wherever they are, from tabletop to screen.

For more than a decade, Hasbro has been consistently recognized for its corporate citizenship, including being named one of the 100 Best Corporate Citizens by 3BL Media, a 2025 JUST Capital Industry Leader, one of the 50 Most Community-Minded Companies in the U.S. by the Civic 50, and a Brand that Matters by Fast Company. For more information, visit https://corporate.hasbro.com or @Hasbro on LinkedIn.

We are growing our Enterprise Data & Engineering team!

We're looking for a Principal Analytics Engineer to help shape how marketing data is transformed, modeled, and structured to power analytics and business decision-making across the enterprise. Are you motivated by shaping scalable, trusted, analytics-ready data products that drive real impact across digital marketing and consumer engagement?

In this role, you will play a key part in evolving the enterprise approach to marketing data modeling, taxonomy, and semantic layer design, helping establish how performance is consistently defined, measured, and compared across platforms. You will operate as a senior technical leader-driving standard methodologies, guiding complex initiatives, and influencing standards-while remaining hands-on in critical areas.

You will help enable production-grade transformation frameworks and curated datasets that unify data from major advertising and social platforms, ensuring reporting and business metrics are accurate, consistent, and performant.

What You'll Do

• Contribute to and evolve the enterprise analytics modeling approach for marketing data, including dimensional modeling standards and semantic layer design.
• Help define and maintain a common marketing taxonomy and metric framework, enabling consistency across platforms and use cases in partnership with business teams.
• Lead the integration and transformation of data from major advertising platforms (e.g., Google, YouTube, Meta/Facebook, Instagram, TikTok), accounting for differences in platform-specific metrics and definitions.
• Design scalable data transformation frameworks using DBT, Databricks, and cloud-native technologies.
• Develop and enhance analytics-ready marketing data products across campaigns, channels, and regions.
• Establish and promote standards for data quality, testing, documentation, and lineage within the transformation layer.
• Partner with data engineering and marketing teams to align upstream ingestion (including API-based data sources) with downstream modeling and reporting needs.
• Influence technical direction and drive alignment across teams in a highly matrixed environment.
• Lead complex initiatives to improve data consistency, comparability, and usability across marketing analytics.
• Mentor and guide analytics engineers, elevating modeling practices and technical rigor across the team.

What You'll Bring

• Experience shaping and implementing analytics engineering practices and standards, particularly for marketing or digital advertising data.
• Strong hands-on experience working with APIs from major advertising platforms (e.g., Google Ads, Meta, TikTok), including data ingestion and normalization challenges.
• Deep understanding of platform-specific metrics and definitions, and how they vary across ecosystems.
• Experience supporting or contributing to common taxonomies, metric frameworks, and naming conventions across multiple data sources.
• Expertise in SQL, DBT, and Databricks, along with cloud platforms such as Azure and/or AWS.
• Proficiency in Python or similar language for transformation, automation, and API interaction.
• Advanced knowledge of dimensional modeling, semantic layer architecture, and data warehousing standards.
• Experience implementing data quality frameworks, validation processes, and documentation standards at scale.
• Ability to operate at both strategic and hands-on levels, influencing architecture while contributing to key implementations.
• Strong communication and influence skills, with the ability to align teams and drive outcomes without direct authority.
• Experience supporting advanced analytics or AI-enabled marketing use cases is a plus.

We are an Equal Opportunity / Affirmative Action Employer

Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.