Lead Product Analyst

Remote (United States)

About the Role

A Lead Product Analyst is needed to become the organization’s first dedicated analytics hire and build the analytics function from the ground up. This role will define standards, tools, KPIs, reporting processes, and the experimentation framework.

Approximately 60% of the role will focus on partnering with Acquisition and Activation Growth squads to design experiments, prioritize hypotheses, and determine which initiatives deliver meaningful results. The remaining 40% will focus on building a semantic layer in Omni and developing source-of-truth dashboards that enable Product Managers, designers, and Sales teams to access reliable insights independently.

This position will work closely with Product, Engineering, and the Data Platform team to ensure that experiments are rigorous, data pipelines are accurate, and analytical insights contribute to measurable improvements in annual recurring revenue and operational efficiency. The role reports to the VP of Finance.

Location: Remote, United States

Employment Type: Full Time

Department: Operations – Analytics

Compensation: $160,000–$180,000 per year, plus equity

What You’ll Do

• Partner with Acquisition and Activation Growth squads to design experiments, prioritize hypotheses, and analyze which initiatives deliver measurable results.
• Own the experimentation framework from end to end, including experiment design, statistical rigor, result interpretation, readouts, and decision-making.
• Build and expand the semantic layer in Omni so Product Managers, designers, and Sales teams can access trustworthy answers without relying on manual analyst support.
• Develop source-of-truth dashboards that connect product and growth metrics to annual recurring revenue, activation, retention, and return on investment.
• Work with Engineering and the Data Platform team to validate tracking, schemas, and data pipelines across Heap, BigQuery, and Omni.
• Identify data-quality issues and ensure that reporting is accurate, reliable, and actionable.
• Translate complex analyses into clear, concise, and practical recommendations for technical and non-technical stakeholders.
• Communicate insights effectively across Product, Growth, Sales, and Leadership teams.
• Connect analytical findings to measurable financial outcomes and help influence Product and Growth roadmaps.

Required Qualifications

• Experience serving as the sole analyst or first analytics hire at a smaller organization and building an analytics function from the ground up.
• At least 5 years of experience in product analytics, growth analytics, or a related analytics role within a SaaS or product-led growth environment.
• Strong end-to-end analytics experience at a small or mid-sized SaaS organization.
• Expert-level SQL skills, with BigQuery experience preferred.
• Hands-on experience with a modern business intelligence platform.
• Experience with Omni is preferred, although experience with Looker, Mode, or Tableau is also relevant.
• Hands-on experience with Heap or a comparable event analytics tool, such as Amplitude or Mixpanel.
• Ability to validate tracking implementation from end to end.
• Experience designing A/B tests, applying statistical rigor, and interpreting experiment results with an appropriate level of certainty.
• Working knowledge of Python or R for deeper analytical work.
• Ability to connect insights to business outcomes, including activation, conversion, and retention.
• Ability to influence Product and Growth roadmaps through data-driven recommendations.
• Strong communication skills and the ability to turn complex analyses into concise, actionable narratives for both technical and non-technical audiences.

Preferred Qualifications

• Experience building or scaling a company-wide experimentation program.
• Exposure to financial or operational analytics, including customer acquisition cost payback, return-on-investment attribution, or funnel contribution modeling.
• Familiarity with modern data stack tools such as dbt, Fivetran, or Airflow.

What Success Looks Like

• A clear and consistent approach to experimentation and analytics is established across the organization.
• Growth experiments are measured and communicated with rigor and clarity.
• Funnel insights contribute to measurable improvements in annual recurring revenue, activation, and retention.
• Stakeholders trust the data, understand the insights, and act on recommendations quickly.
• Leadership has a clear view of growth drivers and return on investment across product initiatives.

Benefits

• 100% employer-covered health, dental, and vision insurance for employees.
• 50% coverage for dependents.
• Generous paid time off, including parental leave.
• 401(k) retirement plan.
• Company-provided laptop.
• Home-office stipend.
• Biannual company retreats.
• Ongoing opportunities to solve new challenges and grow professionally in a rapidly evolving environment.