Product Data Analyst - Digital Analytics

Eevd Open · verified Oct 24, 2026

Washington Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Eevd. Washington · full-time · $60,000–$85,000 base.

SalaryStated by Eevd

$60,000 – $85,000

Base salary for this role, in USD per year, as published in the posting.

This role, from EevdOur estimate for the market: $96,388–$126,975Median $107,500

Below the market median of $107,500 for mid-level data analysis & BI roles in Washington.

Worked out from 16 postings that stated pay, median $107,500. Last updated Oct 24, 2026.

RoleData Analysis & BI

SeniorityMid-level

LocationWashington

EmploymentFull-time

Base pay$60,000–$85,000

PostedMay 19, 2026 · 5mo ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build and update dashboards and reports, keeping figures accurate and consistent with agreed metrics
Work with product, engineering and revenue teams to clarify questions and deliver the reporting they need
Explore engagement and monetization data for trends, then present findings clearly to stakeholders
Check reporting data for errors and help keep datasets reliable
Prepare data for A/B tests, analyze outcomes and explain the main takeaways

What you bring

You have three to five years in data analytics, digital analytics or a related area
You can query and analyze datasets with SQL and use GA4 or a comparable analytics platform
You have built or maintained dashboards in Power BI or a similar BI tool
You understand user engagement, funnels and KPI definitions, and can communicate analysis clearly

Who this fits

This role suits a mid-level analyst who wants to work across product, content and digital revenue analytics. The position is listed in Washington, United States.

From the employer

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.