Senior Marketing Data Analytics Engineer

Job description

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We are growing our Enterprise Data & Engineering team, and we are investing in marketing analytics! We’re hiring a Senior Marketing Analytics Engineer dedicated to Marketing, crafting the transformation, modeling, and structuring of campaign, media, audience, and brand data. This work enables marketing measurement and business decision-making across the enterprise. Are you passionate about turning complex marketing data into scalable, dependable, analytics-ready solutions that influence business outcomes? In this high-impact individual contributor role, you will develop and deliver marketing data, transformation frameworks, and semantic layers that enable consistent measurement across campaigns, channels, and platforms. You will collaborate closely with Marketing, Media, and Brand team members, alongside Data Engineering and Analytics, to improve data quality and speed up campaign decision-making. You will standardize platform-specific metric definitions and create reusable marketing data products that simplify understanding and acting on campaign and channel performance. **What You’ll Do** - Compose, build, and evolve analytics-ready marketing data models, dimensional schemas, and curated datasets. - Develop scalable transformation frameworks using dbt, Databricks, and cloud-native technologies. - Integrate and normalize data from advertising and social platforms, including Google, YouTube, Meta/Facebook, Instagram, and TikTok, accounting for differences in platform-specific metrics and definitions. - Translate marketing and business requirements into scalable, reusable data models and semantic structures that support consistent measurement and reporting. - Support the creation and upkeep of shared marketing taxonomies, metric frameworks, and naming conventions across data sources. - Establish and apply standards for data quality, testing, documentation, lineage, and transformation-level controls. - Partner to align upstream ingestion, including API-based data sources, with downstream modeling and consumption needs. - Lead marketing analytics engineering workstreams from technical development through deployment and optimization. Serve as the analytics engineering contact for Marketing and influence decisions across teams without direct authority. - Find opportunities to simplify the marketing data landscape, improve performance, and increase consistency and usability across marketing analytics products. **What You’ll Bring** - Significant experience developing and delivering marketing, media, or digital advertising data products in modern analytics environments. - Strong hands-on expertise with SQL, dbt, and Databricks, as well as cloud data platforms such as Azure and/or AWS. - Experience working with APIs from major advertising platforms, including the data ingestion, normalization, and quality challenges they introduce. - Strong understanding of platform-specific marketing data and definitions and how they differ across ecosystems. - Experience contributing to marketing taxonomies, metric frameworks, naming systems, or semantic standards across multiple data sources. - Proficiency in key marketing measurement concepts: campaign and channel performance, attribution, audience segmentation, and CRM/first-party data. - Deep understanding of dimensional modeling, semantic layer architecture, and data warehousing practices. - Proficiency in Python or similar language for transformation, automation, validation, and API-related workflows. - Experience implementing data quality frameworks, automated testing, validation processes, and documentation standards. - Strong communication and collaboration skills, with the ability to translate complex marketing and data concepts into clear, business-aligned structures. - 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 provide reasonable accommodation for individuals with disabilities to participate in the application or interview process. We will also provide accommodations to perform essential job functions and receive employment benefits. If you have a disability and need help or accommodation during the application process, please contact your recruiter or coordinator. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $100,200—$150,200 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: - Health & Wellness - Time Off to Recharge - Financial Well-being - Life & Family Support - Volunteer and Community Initiatives - Learning & Development - Exclusive Perks Please review our [Applicant Privacy Notice](https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Fdocs.hasbro.com%2Fprivacy%2Fjob-applicant&data=05%7C02%7CMaria.Hughes%40wizards.com%7C73f450b2476e4441be3308dec7006d14%7C701edd3ec7a84789b1ce8a243620d68f%7C0%7C0%7C639167001791388387%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=QzsYnPcynaB0OC2yYMSHab2TyW8jOlZQWyr87FBwDt8%3D&reserved=0) to learn how we collect, use, and protect your personal information in connection with the application process.