Principal Data Analyst, Product

This is a fully remote position, open to applicants in United States, +1 more state.

📋 Description

• Take charge of the product analytics strategy focusing on product usage, activation, feature adoption, retention, and expansion, converting open-ended business questions into structured analyses and actionable recommendations.

• Collaborate with Product, Engineering, and Design teams to establish success metrics, enhance instrumentation quality, and ensure that product interfaces are measurable from the outset.

• Develop reusable analysis frameworks, semantic layers, metric definitions, and self-service resources.

• Utilize AI-driven methodologies with large language models, coding agents, and automation for drafting queries, quality assurance, validation, documentation, and initial synthesis.

• Design and analyze experiments, observational studies, and trend investigations, even in scenarios with incomplete data or where traditional experimentation is not feasible.

• Identify trends in behavioral, subscription, and product data to inform roadmap decisions, prioritization, and executive-level decision-making.

• Establish monitoring and alert systems to minimize manual reporting and detect product opportunities, risks, and anomalies proactively.

• Guide analysts and enhance practices related to analytical rigor, AI-assisted workflows, insight storytelling, and effective communication with stakeholders.

⛳️ Requirements

• Extensive experience in analytics, business intelligence, data science, or product analytics.

• Proven experience collaborating with Product teams in a B2B SaaS or product-led growth setting.

• Proficient in SQL.

• Strong knowledge of contemporary cloud data and analytics tools such as Snowflake, dbt, Amplitude, Segment, Hex, Tableau, Looker, or comparable platforms.

• Competent in Python for conducting analyses, automation, or supporting experimentation.

• Familiar with event instrumentation, funnel analysis, cohort analysis, retention, feature adoption, and experimentation.

• Ability to convert broad, ambiguous inquiries into structured analysis plans and actionable insights for senior stakeholders.

• Exceptional written and verbal communication skills, with a history of translating complex findings into practical applications for product and executive audiences.

• Proven experience using AI, automation, or agentic workflows to enhance analytics speed, scalability, or quality while ensuring QA and decision-making rigor.

• Strong ownership mentality and prioritization abilities.

• Desirable: experience in establishing product analytics practices, self-service measurement systems, or reusable metrics frameworks.

• Desirable: experience analyzing AI or LLM-powered product features.

• Desirable: solid understanding of applied statistics, causal reasoning, and incremental impact measurement.

• Desirable: experience in mentoring analysts or defining best practices for analytics teams.

• Desirable: experience within dynamic software environments where analytics drive roadmap decisions and product strategy.

🏝️ Benefits

• Equity

• 401k

• Health, Dental, and Vision insurance

• Spending accounts

• Life & Disability insurance

• Paid parental leave

• Flexible paid time off

• Enhanced employee assistance program

• Employee wellness stipend

• Professional development stipend