Senior Product Analyst — United States — LinkedIn — 4488218184

Location: Remote (global; significant overlap with US Eastern Time)

Reports to: Head of Data

Contract type: Full-time (employee in the US, independent contractor elsewhere)

About Yn5qHfDqj

Yn5qHfDqj is the world's largest marketplace for private dog parks. We're a profitable consumer subscription marketplace growing 70% YoY and targeting $10M+ net revenue this year. Our success is driven by hundreds of product experiments we have run to find new ways to grow. Our vision is to be the first super app for dogs, adding new verticals to our existing membership.

We are building toward a high-velocity experimentation program capable of supporting dozens of concurrent tests. This role will help design the systems, tooling, and practices that let us scale experimentation without sacrificing decision quality.

What It's Like to Work at Yn5qHfDqj

Yn5qHfDqj is an early-stage, US-based startup with a small, global, fully remote team. You'll be joining a close-knit group that's building the foundation of the company. You'll have major impact on our product direction and analytics culture.

We operate primarily asynchronously, giving you control over your focus time. You'll maintain working overlap with US Eastern hours, collaborating with teammates across multiple time zones.

We value a continuous learning mindset. We aim to always be learning from our customers through experimentation and proven value in the product.

We're customer-obsessed, design-oriented, and driven by feedback. Everything we build starts from understanding what makes dog owners' and hosts' experiences better.

Yn5qHfDqj is proud to be a diverse, inclusive company that values curiosity, empathy, and collaboration in everything we do.

About the Role

The Senior Product Analyst has three primary jobs: own our experimentation program, serve as an analytical thought partner to Product, and use data to find new opportunities to grow active memberships and improve customer experience.

You will own experiments from design through conclusion: identifying opportunities and hypotheses, launch them when engineering is complete, monitor data quality, analyze results, recommend decisions as soon as feasible, and stop them once decisions are made. You will build the systems needed to manage dozens of concurrent tests while maintaining excellent decision quality.

You will also proactively use data to identify growth opportunities across the entire business. We value speed and iteration over exhaustive analysis. We would rather receive five promising experiment ideas every week based on quick analysis than a 20-page report once a month.

Basic success means completely owning experimentation execution and enabling excellent, fast decisions. Exceptional performance means discovering significant new growth levers for Yn5qHfDqj.

Key Responsibilities

• Own A/B test execution from launch through analysis and completion

• Monitor experiment health and independently investigate data quality or instrumentation issues

• Analyze experiments with strong statistical rigor while optimizing for decision speed

• Recommend winners and losers as soon as there is enough information to make a good business decision

• Maintain an organized view of planned, active and completed experiments as we scale to dozens of concurrent tests

• Continually improve our experimentation methodology, tooling and processes to increase decision velocity

• Proactively analyze user behavior, funnels, retention, marketplace dynamics and other areas to identify opportunities to grow active memberships

• Turn analysis into testable hypotheses and regularly recommend new experiments to Product and company leadership

• Default to fast, lightweight analysis for idea generation, going deeper when the expected value justifies the time

• Develop a deep understanding of MSqccXbY5'J customers, product, marketplace and growth drivers

What We're Looking For

• Mission-driven and excited to help build Yn5qHfDqj

• Typically 5-8 years of product analytics, growth analytics or experimentation experience, though demonstrated ability matters more than years

• Experience in a consumer subscription business, or in a marketplace with recurring revenue, with demonstrated understanding of conversion, activation, cohort retention, churn, LTV, and subscription unit economics. Experience evaluating experiments based on both immediate conversion and longer-term customer value.

• Comfort collaborating directly with Founders, Product Leads, and other stakeholders as necessary

• Exceptional analytical ability with strong product and business judgment

• Excellent SQL skills and ability to independently investigate complex datasets and data quality issues

• Technical skills: Advanced SQL on BigQuery, comfort in dbt for modeling, Metabase for analysis and reporting, Python a plus, and hands-on experiment analysis in the warehouse

• Strong knowledge of experimentation and causal inference, including A/B testing, statistical power, uncertainty, experiment design, cohort analysis and the limitations of observational data

• Marketplace experience a plus

• Fluent written and spoken English (C1 or equivalent)

• Availability to work mostly asynchronously with at least 4 hours of overlap with US Eastern hours

• Growth mindset: excited to use data to discover ways to make the business grow faster

• Bias toward speed and action; knows when rigor matters and when a directional answer today is more valuable than a perfect answer weeks from now

• Comfortable making recommendations with imperfect data and messy real-world systems

• Highly organized and able to manage many concurrent experiments without slowing execution

• Proactive, intellectually curious and able to turn complex analysis into clear recommendations

If your instinct is to spend weeks perfecting an analysis when a directional answer today would enable a good decision, this probably isn't the right role. We are looking for someone who combines excellent technical judgment with an unusually high bias toward action.