Product Data Analyst - Digital Analytics

Hearst; United States; On-site; USD 60,000 - 85,000; Full time

Benefits offered by this job

Medical | Dental | Vision

401(k) matching

Emotional Wellness Support

Paid Time Off Paid Parental Leave

LGBTQ+ Health Services

Additional benefits to meet your and你的

Job summary

Hearst Television is seeking a Product Data Analyst to support analytics initiatives across our digital ecosystem. You will build and maintain dashboards, collaborate with product, content, and revenue teams, and translate data into actionable insights to inform decision-making.

You will perform ad hoc analyses, validate data quality, and support experimentation through data preparation and result interpretation. A detail-oriented, curious mindset is essential in our dynamic media environment.

Qualifications

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

Responsibilities

• Create, maintain and enhance dashboards and reports for stakeholders.
• Collaborate with product, engineering, and revenue teams to support analytics and reporting needs.
• Conduct exploratory analyses to identify trends and summarize findings for stakeholders.
• Validate data accuracy and support data quality checks.

Skills

Power BI

GA4

SQL

Product Analytics

Data Handling

Analytical Thinking

Communication

Education

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

Tools

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

Hearst's benefit programs are modern, flexible and designed to focus on you. As a Hearst employee, you and your spouse or partner or dependents would have access to the following 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.