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Principal Product Analyst

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full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $145,000 - $232,000 per year

Job Level

Lead

Tech Stack

ETLPythonSQL

About the role

  • Define and implement the measurement framework strategy, aligning with Product, Engineering and Design leadership to ensure teams have the right data and insights to make informed decisions.
  • Lead the implementation and organization-wide adoption of standard reporting, dashboards and other analytical tools into our PDLC and executive management processes.
  • Inform and recommend improvements to the current analytics infrastructure, identifying gaps and opportunities to implement scalable tooling, dashboards, and data frameworks.
  • Develop standards and best practices for product data modeling, experimentation, and dashboarding to maximize its impact.
  • Partner with Product teams to architect telemetry and logging for data capture, develop measurement strategies, data science models, and create dashboards to track product success using best-in-class reporting and AI tooling.
  • Work cross-functionally with Engineering, Data/Analytics Engineering, Business Intelligence, and Data Platform teams to ensure a unified approach to analytics.
  • Educate and evangelize data-driven decision-making ensuring Product Managers and stakeholders have the skills and tools they need to self-serve analytics.

Requirements

  • Bachelor's degree in Business, Computer Science, Information Systems, or a related field with a minimum of 12 years of experience in Product Analytics, Data Analysis, Data Science or related field; or a Master’s degree with 8 years of related experience; or a PhD with 5 years of experience; or equivalent experience.
  • Strong understanding of how analytics supports product development.
  • Proven ability to lead an organization-wide data/reporting implementation, including tool adoption, data architecture best practices, and stakeholder training.
  • Experience translating stakeholder needs and requirements into scalable data architecture implementation.
  • Extensive hands-on experience with product analytics and dashboarding tools and strong SQL and statistical modeling skills (e.g., SQL, Python, R).
  • Deep understanding of A/B testing methodologies, experimentation, and behavioral analytics.
  • Advanced knowledge of data infrastructure, schema design and ETL/data pipelining practices.
  • Strong leadership and influence skills, with experience driving alignment across Product, Engineering, and Data teams.
  • Excellent communication and storytelling skills, capable of distilling complex data into clear, actionable insights for stakeholders at all levels.
  • A self-starter mindset, excited to build something from scratch and evolve it over time.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off
  • Remote work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLPythonRdata modelingstatistical modelingA/B testingETLdata pipeliningdashboardinganalytics infrastructure
Soft skills
leadershipinfluencecommunicationstorytellingself-starter mindsetcross-functional collaborationstakeholder trainingdata-driven decision-makingorganizational adoptiontranslating stakeholder needs