Product Data Analyst - Digital Analytics

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.

• →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

• 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: 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