Product Data Analyst - Digital Analytics

Hearst•Washington, DC

1d•$60,000 - $85,000

About The Position

Hearst Television is seeking a Product Data Analyst to support analytics initiatives that inform teams across our digital ecosystem. In this role, you will work closely with product, content, and digital revenue teams to support reporting needs, maintain dashboards, and analyze user engagement and monetization performance. You will help translate data into clear insights that support decision-making, while contributing to a collaborative and data-informed culture. This position is ideal for someone who is detail-oriented, analytically curious, and eager to grow their skills in digital and product analytics within a dynamic media environment.

Requirements

Experience using BI tools such as Power BI (or similar) to build and update dashboards
Proficiency in GA4 or similar tools (e.g., Adobe Analytics) for tracking and reporting user behavior
Comfortable using SQL for querying and analyzing datasets
Solid understanding of metrics and definitions for user engagement, funnels, and KPIs
Experience working with structured data from multiple sources
Ability to analyze data, identify patterns, and communicate findings clearly
Strong written and verbal communication skills, with the ability to present insights to a variety of audiences
3-5 years of experience in data analytics, digital analytics, or a related field
Bachelor’s degree in Data Science, Statistics, or a related quantitative field preferred
Comfortable working in a fast-paced environment with evolving priorities
Strong focus on data accuracy, validation, and quality in all outputs

Responsibilities

Create, maintain and enhance dashboards and reports that support business stakeholders
Ensure reporting outputs are accurate, consistent, and aligned with defined metrics
Work with product, engineering, and revenue teams to support analytics and reporting needs
Gather requirements and clarify business questions for analysis
Conduct exploratory analyses to identify trends and support performance reporting
Summarize findings in a clear and structured format for stakeholders
Assist in validating data accuracy and identifying discrepancies in reporting
Support data quality checks and contribute to maintaining reliable datasets
Drive A/B testing efforts by preparing data and analyzing results
Assess and communicate experiment outcomes and key takeaways