Product Data Analyst - Digital AnalyticsNAB Leadership Foundation • Washington, Utah, United States
Product Data Analyst - Digital Analytics
NAB Leadership Foundation
- Washington, Utah, United States
- Washington, Utah, United States
About
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.
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Languages
- English
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