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 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

Must-haves

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

Nice-to-haves

Education: Bachelor’s degree in Data Science, Statistics, or a related quantitative field preferred

Application prep

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Keywords to mirror

sql

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness