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Principal Product Data Analyst

SimpliSafe

Salary not specified
Sep 23, 2025
Boston, MA, US
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SimpliSafe's analytics foundation is still maturing, and their data model isn't 100% reliable yet. They need a Principal Product Data Analyst to improve data quality, documentation, and tooling, and to drive data-informed product strategy and roadmap decisions.

Requirements

  • Expert-level proficiency in SQL.
  • Advanced skills in statistical analysis and data visualization (tools like Tableau, Hex, and Amplitude).
  • Proficient in Python for data manipulation.
  • You are an expert at identifying and resolving data quality issues at the source.
  • Experience with data modeling and orchestration tools like dbt or Dagtser is a bonus.

Responsibilities

  • Partner directly with Product and Engineering teams to inform the product strategy and roadmap.
  • Proactively identify and frame our most complex problems, leading analytics projects that answer key business questions, and translating insights into actionable recommendations that influence company-wide decisions.
  • Act as an owner for our analytics infrastructure and practices.
  • Defining and implementing our core metric frameworks, leading data quality initiatives, and collaborating with Data Engineering to build a more reliable data model.
  • Mentor other analysts, PMs, and engineers, leveling up their data skills and fostering a culture of critical thinking.
  • Serve as the highest escalation point for critical data questions and investigations.
  • Lead the charge in triaging anomalies, developing novel analytical methods, and solving highly ambiguous problems with imperfect data.

Other

  • 6+ years in a senior or principal-level data or product analytics role.
  • A proven track record of influencing product strategy and roadmaps through data-driven insights.
  • You are comfortable challenging assumptions and leading conversations at the executive level.
  • You have a history of tackling open-ended, complex problems and creating long-term, scalable solutions.
  • You are resourceful and self-directed.
  • You can build trust and influence across different functions (Product, Engineering, Operations, and Leadership) without direct authority.
  • You enjoy mentoring and developing the skills of others.
  • You have a passion for identifying and addressing systematic issues and a track record of implementing best practices for analytics and data quality.