The Role
The Senior Product Analyst role involves partnering with the Product team to define success metrics, run experiments, track product usage, and inform roadmaps based on data insights.
Summary Generated by Built In
Small businesses represent 99.9% of all companies, yet they're still forced to choose between clunky, outdated enterprise phone systems or their personal phones. This multi-billion dollar market has been overlooked for decades, left to cobble together solutions that slow them down instead of helping them grow.
Quo is changing that. We bring calls, texts, and customer information together into one easy-to-use, AI-powered platform. We’re not just building a phone system. We’re setting a new standard for how businesses connect with their customers.
Driven by our values, we move fast, build with determination, and obsess over delivering value to the businesses that have been underserved for far too long.
Today, Quo is trusted by more than 90,000 companies and rated #1 in customer satisfaction on G2. We’re backed by Y Combinator, Tiger Global, Craft Ventures, Slow Ventures, and other top-tier investors. It’s safe to say we’re onto something big.
About the roleWe're looking for a Senior Product Analyst to be a strategic data partner to our Product team. In this role, you'll go beyond reporting you'll shape how we define success, instrument our product, design experiments, and use data to influence what we build next. You'll work closely with PMs, engineers, and designers to uncover opportunities, sharpen prioritization decisions, and ensure our roadmap is grounded in evidence.
This is a high-impact, high-ownership role for someone who thrives at the intersection of analytical rigor and product intuition.
Product Analytics & Instrumentation
- Own event tracking end-to-end: define schemas, partner with engineers on instrumentation, and maintain a reliable event taxonomy.
- Build dashboards and self-serve reporting that give PMs and leadership clear visibility into usage, engagement, and retention.
- Run deep-dive analyses on user behavior, funnels, cohort retention, and feature adoption.
Metric Definition & Strategy
- Define and socialize key product metrics ensuring alignment across product, engineering, and leadership.
- Partner with PMs to translate business goals into measurable outcomes and OKR frameworks.
Experimentation
- Design, run, and analyze A/B tests end-to-end with statistical rigor.
- Build experimentation best practices so PMs can run better tests and make faster decisions independently.
Roadmap Prioritization & Opportunity Sizing
- Partner with PMs to size opportunities, stress-test assumptions, and identify the highest-leverage bets.
- Synthesize qualitative and quantitative signals into insights proactively, not just in response to requests.
AI & Data Democratization
- Use AI to accelerate your own workflows and bring what works to the broader team.
- Identify opportunities to broaden reliable data access so PMs, designers, and others can self-serve without an analyst in the loop.
- Stay ahead of the AI tooling landscape and recommend how to embed it into our data stack and workflows.
Cross-Functional Collaboration & Influence
- Build trusted relationships with PMs, engineers, and designers as the analytical partner of the product org.
- Translate complex findings into clear narratives for both technical and non-technical audiences.
- Take ambiguous problems, go deep independently, and come back with a clear point of view with the curiosity to connect dots beyond the immediate ask.
About you
- 5+ years of experience in product analytics, data science, or a related analytical role in a Consumer App, B2B SaaS, or PLG environment.
- Deep proficiency in SQL you write complex queries comfortably and know how to work with large, multi-source datasets.
- Hands-on experience with event tracking and product instrumentation you've defined event schemas, worked with tools like Segment or Amplitude, and understand the tradeoffs in instrumentation design.
- Strong foundation in experimentation you understand A/B testing methodology, statistical significance, power analysis, and common pitfalls.
- Experience defining and operationalizing product metrics, including north star frameworks, guardrail metrics, and OKR measurement.
- Proficiency with BI tools (e.g. Mode, Hex, Looker) and the ability to build clean, scalable dashboards that non-analysts can use independently.
- Familiarity with tools like dbt is a strong plus.
- Strong communication and storytelling skills you don't just find insights, you make them land.
- Self-directed and comfortable with ambiguity; you set your own agenda and prioritize what matters most.
- A track record of influencing product decisions, not just supporting them.
- Genuinely curious about AI and how it can 10x analytical work you proactively try new tools, find ways to automate the repetitive, and think creatively about putting more reliable data in more people's hands.
Compensation
The annual base salary range for this position is as follow, plus equity and benefits:
- SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $166,000 - $195,000 USD
- All other US Locations: $149,000 - $175,000 USD
- Canada: $155,000 - $182,000 CAD
The ranges displayed reflect the target for new hire salaries, and within each range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process.
Salary is just one component of Quo’s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.
Who we areAs a fully remote company, we thrive as a team. We are curious, ambitious, and dedicated to our work. We value trust above all else, and have a strong bias for action. If you're looking for a place to do your life's work, please get in touch. We'd love to hear from you.
And remember, there's no such thing as a 'perfect' candidate. We're looking for optimists with grit and determination, who are excited to face the challenges of a growing startup. Quo is the type of company where you can grow, and we encourage you to apply for this role even if you don't think you meet all the requirements.
We are committed to creating an inclusive and diverse work environment. It is important that you are able to bring your authentic self to work every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote #PostLI
Skills Required
- 5+ years of experience in product analytics, data science, or a related analytical role
- Deep proficiency in SQL
- Hands-on experience with event tracking and product instrumentation
- Strong foundation in experimentation and A/B testing methodology
- Experience defining and operationalizing product metrics including OKR measurement
- Proficiency with BI tools (e.g. Mode, Hex, Looker)
- Familiarity with tools like dbt
- Strong communication and storytelling skills
- Self-directed and comfortable with ambiguity
- A track record of influencing product decisions
- Genuinely curious about AI
Quo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quo and has not been reviewed or approved by Quo.
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Fair & Transparent Compensation — Feedback suggests pay is positioned as fair and transparent, with the company stating it pays well and fairly with transparent compensation practices. Publicly stated bands and equity references indicate a structured approach.
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Healthcare Strength — Feedback suggests medical, dental, and vision coverage is comprehensive. This strong core health coverage underpins overall wellbeing support.
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Leave & Time Off Breadth — Feedback suggests time off includes unlimited PTO and sick leave, with pay continuing during these periods. Additional paid leave is available to care for loved ones or welcome a new family member.
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The Company
What We Do
Quo is a modern business phone system that brings all your calls, texts, and customer information together in one easy-to-use, AI-powered platform. It helps your team stay organized and respond faster, so you can give every customer a great experience. AI handles busywork like logging calls, organizing messages, answering FAQs, and seamlessly hands off conversations to your team when needed. Whether you’re running a small business or growing quickly, Quo makes it easy to stay connected and support more customers.
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