Product Data Analyst - Digital AnalyticsHearst • Seattle, Washington, United States
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Product Data Analyst - Digital Analytics
Hearst
- Seattle, Washington, United States
- Seattle, Washington, United States
Über
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
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Sprachkenntnisse
- English
Hinweis für Nutzer
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