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Instrumentl

Lead Product Analyst

Reposted 22 Days Ago
Remote
Hiring Remotely in USA
160K-180K Annually
Senior level
Remote
Hiring Remotely in USA
160K-180K Annually
Senior level
The Lead Product Analyst will design experiments, ensure data quality, build dashboards, and create an experimentation framework focusing on growth and product metrics.
The summary above was generated by AI
Hello, we’re Instrumentl. 👋

Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We're fixing that.

Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. More than 5,500 nonprofits use Instrumentl to discover, track, and win grant funding, from local community organizations to the San Diego Zoo and the University of Alaska. Collectively they’ve moved over $1 billion through our platform.

We're growing more than 40% year over year, customers love us (Ellis PMF 60+), and we're hiring people who want to build something that matters.


About the role:

    The Lead Product Analyst is Instrumentl's first dedicated analytics hire. You will be the sole analyst, building this function from the ground up. Standards, tools, KPIs, experimentation framework: all yours to design.

    You'll spend roughly 60% of your time embedded with our Growth squads (Acquisition + Activation), designing experiments, prioritizing hypotheses, and analyzing what moved the needle. The other 40% goes to building out our semantic layer in Omni and source-of-truth dashboards so PMs, designers, and Sales can self-serve.

    You'll partner with Product, Engineering, and the Data Platform team to make sure experiments are rigorous, data pipelines are accurate, and insights lead to meaningful ARR and efficiency gains. This role reports to our VP of Finance.

What you'll do

  • Growth partner. Design experiments, prioritize hypotheses, and analyze what moved the needle in partnership with our Acquisition and Activation Growth squads.
  • Experimentation. Own the experimentation framework end-to-end: design, statistical rigor, readouts, and the decisions that come out of them.
  • Semantic layer + self-serve. Build out our semantic layer in Omni so PMs, designers, and Sales can self-serve trustworthy answers without pinging you.
  • Company reporting. Build source-of-truth dashboards that connect product and growth metrics to ARR, activation, retention, and ROI.
  • Data quality. Partner with Engineering and Data Platform to validate tracking, schemas, and pipelines across Heap, BigQuery, and Omni.
  • Cross-functional comms. Translate complex analyses into concise, actionable narratives for technical and non-technical audiences across Product, Growth, and Leadership.

What we're looking for:

    Required

  • Founding-analyst profile. You've been the sole analyst or first analytics hire at a smaller company. You've built a function from the ground up. Not a specialist who owned one slice at a large org.
  • Experience. 5+ years in product, growth, or analytics at a SaaS or PLG company. If you've owned analytics end-to-end at a small/mid SaaS company, whether that's 4 years or 10, we want to talk.
  • SQL + BI. Expert SQL (BigQuery preferred). Hands-on with a modern BI tool. We use Omni; Looker, Mode, or Tableau experience translates.
  • Event tools. Hands-on with Heap (preferred) or comparable event tools (Amplitude, Mixpanel). You can validate tracking end to end.
  • Experimentation chops. Comfortable designing A/B tests, applying statistical rigor, and interpreting results with the right level of certainty.
  • Analytical depth. Working knowledge of Python or R for deeper analysis.
  • Business orientation. You can connect insights to financial outcomes (activation, conversion, retention) and influence Product and Growth roadmaps.
  • Communication. You're a clear communicator who turns complex analyses into concise, actionable narratives for technical and non-technical audiences.
  • Nice to Have:
  • Experience building or scaling a company-wide experimentation program.
  • Exposure to financial or operational analytics such as CAC payback, ROI attribution, or funnel contribution modeling.
  • Familiarity with modern data stack tools like dbt, Fivetran, or Airflow.

Success looks like:

  • Instrumentl has a clear, consistent approach to experimentation and analytics because of this person’s work.
  • Growth experiments are measured and communicated with rigor and clarity.
  • Funnel insights drive measurable improvements in ARR, activation, and retention.
  • Stakeholders trust the data, understand the insights, and act on them quickly.
  • Leadership has a clear view of growth drivers and ROI across product initiatives.

Compensation & Benefits

    For US-based candidates, the target salary range for this role is 160,000 - $180,000 USD, plus equity. Final compensation is determined based on experience, skillset, scope of responsibility, interview performance, and geographic location. We’re committed to paying competitively and equitably.

    For candidates based in Canada, compensation varies by province and will be shared by your recruiter early in the process.

    Benefits

  • 100% covered health, dental, and vision insurance for employees (50% for dependents)
  • Generous PTO, including parental leave
  • 401(k)
  • Company laptop and home-office stipend
  • Bi-annual company retreats
  • Instrumentl is evolving rapidly. You’ll always have new challenges and opportunities to grow here.

Instrumentl is an equal opportunity employer. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status. We encourage candidates from all backgrounds to apply. If you need a reasonable accommodation during the application or interview process, please let us know.

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