Product Data Analyst - Digital Analytics

Hearst Television; 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

Paid Parental Leave

Job summary

Hearst Television is looking for a Product Data Analyst in Washington, DC to support analytics initiatives and drive insights across digital platforms. This position emphasizes collaboration with product, content, and revenue teams to maintain dashboards and enhance reporting accuracy.

The ideal candidate will possess strong analytical skills, 3-5 years of data analytics experience, and proficiency in SQL as well as data visualization tools like Power BI. Benefits include competitive pay and comprehensive health coverage.

Qualifications

• 3-5 years of experience in data analytics or related field.
• Experience working in a fast-paced environment with evolving priorities.
• Strong focus on data accuracy and validation.

Responsibilities

• Create and maintain dashboards and reports for stakeholders.
• Support analytics and reporting needs across teams.
• Conduct exploratory analyses to identify trends and insights.

Skills

Data Visualization & BI Tools

Digital Analytics Platforms

SQL & Data Analysis

Analytical Thinking

Communication Skills

Education

Bachelor's degree in Data Science, Statistics, or related field

Tools

Power BI

GA4

Adobe Analytics

Job description

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.

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

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.