Product Data Analyst: Insight-Driven Growth & Dashboards

Hearst Television

Washington (District of Columbia)

On-site

USD 60,000 - 85,000

Full time

3 days ago
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Benefits offered by this job

Medical | Dental | Vision
401(k) matching
Emotional Wellness Support
Paid Time Off

Job summary

Hearst Television is seeking a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will partner with product, content, and revenue teams to deliver reporting, build dashboards, and analyze user engagement and monetization performance.

Ideal candidates are detail-oriented, curious, and eager to grow in digital and product analytics within a dynamic media environment. This role offers opportunities to influence decisions with data-driven insights.

Qualifications

  • 3–5 years of experience in data analytics or digital analytics.
  • Bachelor’s degree in Data Science, Statistics, or related field preferred.
  • Ability to adapt in a fast-paced media environment.
  • Strong attention to data accuracy and quality.

Responsibilities

  • Create, maintain and enhance dashboards and reports for stakeholders.
  • Ensure outputs are accurate and aligned with metrics.
  • Collaborate with product, engineering and revenue teams to support analytics.
  • Perform exploratory analyses to identify trends and inform performance reporting.
  • Validate data quality and assist with data checks.

Skills

Power BI
GA4 / Analytics
SQL
KPIs & metrics
Structured data
Analytical thinking
Communication skills

Education

Bachelor's degree in Data Science / Statistics or related field

Job description

Hearst Television is seeking a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will partner with product, content, and revenue teams to deliver reporting, build dashboards, and analyze user engagement and monetization performance.

Ideal candidates are detail-oriented, curious, and eager to grow in digital and product analytics within a dynamic media environment. This role offers opportunities to influence decisions with data-driven insights.

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