Product Data Analyst - Digital Analytics

HEARST TELEVISION INC; Washington (District of Columbia); On-site; USD 60,000 - 85,000; Full time

Benefits offered by this job

Medical | Dental | Vision

401(k) matching

Paid Time Off

Parental Leave

Emotional Wellness Support

LGBTQ+ Health Services

Job summary

Hearst Television seeks a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will partner with product, content, and digital revenue teams to provide reporting, dashboards, and insights into user engagement and monetization performance.

This role emphasizes detail-orientation and growth in data-driven decision making within a dynamic media environment. Responsibilities include building dashboards, collaborating with multiple teams, performing ad hoc analyses,

Qualifications

• 3–5 years of experience in data analytics or digital analytics.
• Bachelor's degree in Data Science, Statistics, or related quantitative field preferred.
• Adaptability in a fast-paced environment with evolving priorities.
• Attention to detail and data accuracy in outputs.

Responsibilities

• Create, maintain and enhance dashboards and reports for stakeholders.
• Collaborate with product, engineering, and revenue teams to gather requirements.
• Conduct ad hoc analyses and summarize findings for stakeholders.
• Validate data accuracy and perform data quality checks.
• Support experimentation and A/B test analysis.

Skills

SQL

Data Visualization

Digital Analytics

KPIs & Funnels

Data Handling

Analytical Thinking

Communication

Education

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

Tools

Power BI

GA4

Adobe Analytics

Job description

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.

Core Responsibilities

Reporting & Visualization

• Create, maintain and enhance dashboards and reports that support business stakeholders
• Ensure reporting outputs are accurate, consistent, and aligned with defined metrics

Cross-Functional Collaboration

• Work with product, engineering, and revenue teams to support analytics and reporting needs
• Gather requirements and clarify business questions for analysis

Ad Hoc Analysis

• Conduct exploratory analyses to identify trends and support performance reporting
• Summarize findings in a clear and structured format for stakeholders

Data Quality & Validation

• Assist in validating data accuracy and identifying discrepancies in reporting
• Support data quality checks and contribute to maintaining reliable datasets

Experimentation Support

• Drive A/B testing efforts by preparing data and analyzing results
• Assess and communicate experiment outcomes and key takeaways

Technical Competencies & Skills

• Data Visualization & BI Tools: Experience using BI tools such as Power BI (or similar) to build and update dashboards
• Digital Analytics Platforms: Proficiency in GA4 or similar tools (e.g., Adobe Analytics) for tracking and reporting user behavior
• SQL & Data Analysis: Comfortable using SQL for querying and analyzing datasets
• Product & Digital Analytics Fundamentals: Solid understanding of metrics and definitions for user engagement, funnels, and KPIs
• Data Handling: Experience working with structured data from multiple sources
• Analytical Thinking: Ability to analyze data, identify patterns, and communicate findings clearly
• Communication Skills: Strong written and verbal communication skills, with the ability to present insights to a variety of audiences

Experience & Qualifications

• Experience: 3-5 years of experience in data analytics, digital analytics, or a related field
• Education: Bachelor's degree in Data Science, Statistics, or a related quantitative field preferred
• Adaptability: Comfortable working in a fast-paced environment with evolving priorities
• Attention to Detail: Strong focus on data accuracy, validation, and quality in all outputs

Compensation

The salary for this role is $60,000-$85,000. 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

• 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

Hearst Television (HTV) owns and/or operates 35 television and two radio stations serving 27 media markets across 39 states reaching nearly 25 million U.S. television households. HTV is recognized as one of the industry's premier broadcasting companies and has been honored with numerous awards for distinguished journalism, industry innovation, and community service.

We are an Equal Opportunity Employer. we do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religion, creed, national, origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law.