Track and analyze core product metrics — usage, retention, activation, and revenue signals — to proactively surface trends and friction points before they reach stakeholder escalations. Design, execute, and analyze A/B tests and cohort studies, translating results into clear, evidence-backed product recommendations rather than inconclusive reports.
Apply regression analysis, significance testing, and time-series forecasting to go beyond descriptive reporting and into diagnostic and predictive territory — answering not just what happened, but why, and what’s likely next. Model forward-looking product trends including churn risk and customer lifetime value, with a standard for methodological rigor that makes results defensible to senior leadership.
Synthesize qualitative signals — user interviews, NPS, support data, polls — with quantitative usage metrics to build a full-spectrum view of the customer experience, not just a metrics dashboard. Conduct competitive benchmarking to evaluate Bloomerang’s product positioning, identify feature gaps, and surface pricing and packaging opportunities.
Define measurement requirements for new features in partnership with Product — ensuring that success criteria, instrumentation, and baseline metrics are established before development begins, not retrofitted after launch. Maintain accountability for data quality and consistency across product datasets, proactively investigating upstream gaps and anomalies before they corrupt downstream conclusions.
Use AI assistants and LLMs as active tools in your analytical workflow to automate exploratory analysis, accelerate investigation, debug SQL logic, and surface non-obvious patterns at scale. Share AI prompts, reusable SQL snippets, and analytical templates with the broader team to multiply collective output — and apply critical judgment to AI-generated results to ensure they meet the same methodological bar as any other analysis.
Transform complex analytical findings into decision-ready narratives — visual, written, and verbal — that move product managers and cross-functional leads from curiosity to action. Practice guided persuasion: use data storytelling and curious questioning to align partners toward shared conclusions, build data literacy across teams, and influence product direction through evidence.

Requirements

3–5 years of hands-on experience working directly as a Product Analyst in a SaaS or technology company.
Expert proficiency in SQL for complex data wrangling against large datasets (BigQuery preferred). Demonstrated ability to apply advanced statistical methods — regression, significance testing, time-series analysis — and to explain your methodology choices to technical and non-technical audiences.
Proven experience analyzing A/B tests and cohort studies, translating statistically sound results into clear product recommendations. Track record of synthesizing qualitative and quantitative data sources into unified, compelling narratives.
Proficiency with Business Intelligence and data visualization tools; Tableau and/or Looker experience preferred. Demonstrated fluency with AI-assisted analytical tools — LLMs, AI copilots, automation — as genuine productivity multipliers, with the critical judgment to validate and interrogate what’s produced.

Benefits

You’ll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24/7, anytime, anywhere.
You'll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. More is more!
You'll receive a 401k match to help invest in your future.
Everything you need to be successful, shipped right to your door. You got this. We got you.

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLregression analysissignificance testingtime-series forecastingA/B testingcohort studiesdata storytellingdata visualizationdata wranglingstatistical methods

Soft Skills

analytical thinkingcommunicationpersuasioncollaborationcritical judgmentdata literacystorytellingcuriosityproblem-solvinginfluence