Senior Product Data Analyst - Digital Analytics

Hearst•Washington, DC

1d•$100,000 - $135,000•Onsite

About The Position

Hearst Television is hiring an in-office Senior Product Data Analyst to serve as a technical expert and insights partner for its digital data and analytics team. The role works closely with digital teams across product, engineering, content, and revenue. It owns the foundations that make reporting trustworthy, including data sources, ETL pipeline requirements, and the business-wide data dictionary, while advising product owners on experimentation and delivering insights to executive stakeholders. The analyst owns onboarding and ongoing maintenance of data sources, defines pipeline requirements in partnership with data engineering, maintains consistent data definitions, and leads validation and data-quality efforts. The role leads exploratory analyses of traffic, audience, and revenue performance, translates business questions into actionable insights, and communicates findings to audiences ranging from analysts to executives. It also builds and maintains dashboards and reports, establishes reporting standards, and shares expertise with other analysts. The position calls for an experienced analyst with strong technical judgment and the ability to influence decisions, balancing pipeline specifications and statistically sound testing with clear presentation of findings to senior leaders.

Requirements

5–7 years of experience in a digital analytics role.
Deep understanding of engagement metrics, funnels, and KPIs, with familiarity in traffic and revenue performance reporting.
Advanced SQL (BigQuery) and Python skills for querying and analyzing complex, multi-source datasets.
Understanding of ETL concepts and best practices, with the ability to write clear technical requirements for engineers, such as in JIRA.
Advanced experience with Power BI, Looker, or similar tools.
Strong proficiency in GA4 or similar tools, such as Adobe Analytics.
Ability to turn ambiguous business questions into clear, actionable insights and adapt communications to audiences ranging from analysts to executives.
Comfort balancing strategic projects with fast-turnaround requests.
Enjoyment of sharing expertise and helping peers build their skills.

Nice To Haves

Digital media experience.
Bachelor’s degree in Data Science, Statistics, or a related quantitative field.
Familiarity with Google Cloud Platform beyond BigQuery and with 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.

Responsibilities

Own the onboarding and ongoing maintenance of data sources, keeping them reliable and trusted and resolving issues in partnership with engineering.
Apply ETL best practices to define pipeline structures and partner with data engineering to specify pipelines to be built or modified.
Own the business-wide data dictionary and maintain consistent dimension and metric definitions.
Lead validation efforts and establish data-quality checks to keep reporting accurate and reliable.
Lead exploratory analyses across traffic, audience, and revenue performance, and synthesize findings into 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 with clear takeaways.
Build, maintain, and enhance dashboards and reports for business stakeholders.
Set reporting standards and best practices.
Share expertise with fellow analysts through reviews, documentation, and informal guidance.