Senior Product Data Analyst: Insights, Pipelines & Dashboards

Hearst Television, Inc

Washington (District of Columbia)

On-site

USD 100,000 - 135,000

Full time

3 days ago
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Benefits offered by this job

Medical | Dental | Vision
401(k) matching
Emotional Wellness Support
LGBTQ+ Health Services
Additional benefits

Job summary

Hearst Television is seeking an in-office Senior Product Data Analyst to serve as a data expert and insights partner for our digital data and analytics team. You will own the foundations of trustworthy reporting, including data sources, ETL pipeline requirements, and the business-wide data dictionary, guiding product owners on experiments and delivering insights to executives.

The role emphasizes technical judgment, data governance, and the ability to influence decisions while presenting

Qualifications

  • Deep understanding of engagement metrics, funnels and KPIs.
  • Advanced SQL (BigQuery) and Python for multi-source data analysis.
  • ETL concepts and writing technical requirements for engineers.
  • Power BI, Looker and GA4 or Adobe Analytics proficiency.

Responsibilities

  • Own onboarding and maintenance of data sources with engineering.
  • Define ETL pipeline structure with data engineering.
  • Own data dictionary and data quality checks.
  • Lead exploratory analyses across traffic, audience and revenue.
  • Build dashboards and reports for stakeholders.
  • Set reporting standards and share expertise with peers.

Skills

Advanced SQL (BigQuery)
Python
Engagement metrics & KPIs
Data storytelling
A/B testing

Education

Bachelor’s degree in Data Science, Statistics, or related field

Tools

Power BI
Looker
GA4 / Analytics tools
Adobe Analytics

Job description

Hearst Television is seeking an in-office Senior Product Data Analyst to serve as a data expert and insights partner for our digital data and analytics team. You will own the foundations of trustworthy reporting, including data sources, ETL pipeline requirements, and the business-wide data dictionary, guiding product owners on experiments and delivering insights to executives.

The role emphasizes technical judgment, data governance, and the ability to influence decisions while presenting

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