Senior Product Data Analyst - Digital Analytics
- Pay
- $100,000 – $135,000 per year
- Location
- New York, NY
- Listed
- Today
About the role
Hearst Television is hiring an in-office Senior Product Data Analyst to serve as a technical expert and insights partner for our digital data and analytics team, working closely with our digital teams across product, engineering, content, and revenue. You will own the foundations that make our reporting trustworthy, including data sources, ETL pipeline requirements, and the business-wide data dictionary, while advising product owners on experimentation and delivering insights directly to executive stakeholders.
This position is ideal for an experienced analyst with strong technical judgment and the ability to influence decisions, equally comfortable specifying data pipelines and designing statistically sound tests as presenting findings to senior leaders.
Core Responsibilities
Data Sources & Pipelines
- Own the onboarding and ongoing maintenance of data sources, keeping them reliable and trusted by the business and resolving issues in partnership with engineering
- Apply ETL best practices to define pipeline structure, and partner with data engineering to specify pipelines to be built or modified
Data Dictionary, Governance & Quality
- Own the data dictionary, maintaining consistent dimension and metric definitions across the business
- Lead validation efforts and establish data quality checks that keep reporting accurate and reliable
Insights & Data Storytelling
- Lead exploratory analyses across traffic, audience, and revenue performance, and synthesize analyst findings into the most significant insights for executive stakeholders and the data director
- Partner with product, engineering, content, and revenue leaders to scope questions, shape priorities, and present findings so audiences leave with clear takeaways, not just data
Reporting & Visualization
- Build, maintain, and enhance dashboards and reports that support business stakeholders
- Set reporting standards and best practices, and share expertise with fellow analysts through reviews, documentation, and informal guidance
Technical Competencies & Skills
Required
- Analytics Expertise: Deep understanding of engagement metrics, funnels, and KPIs, with familiarity in both traffic and revenue performance reporting. Advanced SQL (BigQuery) and Python for querying and analyzing complex, multi-source datasets.
- Data Pipelines: Understanding of ETL concepts and best practices, with the ability to write clear technical requirements (e.g., in JIRA) for engineers.
- BI & Analytics Platforms: Advanced experience with Power BI, Looker, or similar tools, and strong proficiency in GA4 or similar tools (e.g., Adobe Analytics).
Preferred
- Familiarity with Google Cloud Platform beyond BigQuery, and Azure
- Knowledge of R, dbt, or other analytics-relevant languages
- Familiarity with audience insights tools such as Comscore or Nielsen
- Experience with AI and MCP tooling, particularly conversational analytics
- Experience designing and analyzing A/B tests, including methodology and statistical rigor.
Experience & Qualifications
- Experience: 5-7 years of experience in a digital analytics role, experience in digital media preferred
- Education: Bachelor's degree in Data Science, Statistics, or a related quantitative field preferred
- Adaptability: Comfortable balancing strategic projects with fast-turnaround requests
- Communication: Demonstrated ability to turn ambiguous business questions into clear, actionable insights, and to adapt the message to the stakeholder, from analysts to executives
- Collaboration: Enjoys sharing expertise and helping peers build their skills
Compensation
The salary for this role is $100,000-$135,000. The actual base pay offered is dependent upon many factors, such as transferable skills, work experience, business needs, market demands and conditions, including geographic location where the work will be performed, and other factors permitted by law. The base pay range is subject to change and may be modified in the future.
Values in Action
At Hearst Television we tell stories every day. Stories about people of all backgrounds, perspectives, and identities. That's why, behind the scenes, we believe in being an organization that fosters collaboration and open communication, ensuring that the content we create is authentic, accurate, and connected to the communities we serve.
Benefits
Hearst's benefit programs are modern, flexible and designed to focus on you. As a Hearst employee, you and your spouse or partner or dependents would have access to the following benefits.
- Medical | Dental | Vision
- 401(k) matching
- Emotional Wellness Support
- Paid Time Off Paid Parental Leave
- LGBTQ+ Health Services
- Additional benefits to meet your and your family's needs
From Hearst's careers page, first listed on Rolev.ai on November 11, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Senior Product Data Analyst - Digital Analytics role at Hearst?
The Senior Product Data Analyst - Digital Analytics posting at Hearst states compensation of $100,000 – $135,000 per year. Final pay may depend on location, experience, and interview evaluation on Hearst's official career site.
Where is the Senior Product Data Analyst - Digital Analytics job at Hearst located?
This Senior Product Data Analyst - Digital Analytics position at Hearst is located in New York, NY. Always check Hearst's application page for specific state eligibility or relocation policies.
How do I apply for the Senior Product Data Analyst - Digital Analytics position at Hearst?
This listing links directly to Hearst's Greenhouse application page. You can apply directly on Hearst's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.