Analytics Manager

👩‍💻 The role

As Manager, Product Analytics, you'll lead the analytics function for Headout's Product org. This isn't about dashboards and reports; it's about building product intelligence that compounds into competitive advantage.

You'll define the metrics that matter, build the experimentation muscle, and ensure product decisions are grounded in customer understanding. You'll partner with Product, Design, and Engineering leadership to shape what we build, not just measure what we shipped.

You'll also build and lead a team of product analysts who operate like owners: sharp on metrics, strong on problem framing, and measured by the outcomes they enable, not the analyses they deliver.

🤩 What makes this role special?

• Build Product Intelligence, Not Just Measurement: You'll define the metrics, frameworks, and experimentation systems that make Headout's product smarter over time. Your work shapes the intelligence layer, not just the reporting layer.

• Thought Partner, Not Report Generator: You'll work directly with Product leadership to answer "what should we build next?" not just "what happened?" You'll bring clarity on customer behaviour, funnel bottlenecks, and where the highest-leverage opportunities are. When the product roadmap is debated, your perspective will be in the room.

• Shape the Experimentation Engine: You'll raise the bar on how we run experiments; hypothesis quality, statistical rigor, guardrails, and decision-making. You'll help teams move fast without making noisy or misleading calls. Experimentation becomes a capability, not a bottleneck.

• Build a Team of Owners: You'll hire, mentor, and develop product analysts who own problem domains, not task queues. Analysts who can frame problems, define success, and drive adoption, not just write SQL and hand off slides.

• Drive Outcomes That Compound: Your work will directly improve conversion, retention, and LTV. But more importantly, it will build systems that keep improving: ranking models that learn, retention frameworks that clarify priorities, recommendations that get smarter. The advantage compounds.

💝 What skills & experience do you need?

• 6-10 years in product analytics, with at least 2 years leading or mentoring analysts. Track record of defining metrics that teams actually use to make decisions.

• Strong problem framing: you can translate ambiguous questions into testable hypotheses and clear measurement plans. 

• Experimentation expertise: you've run A/B tests end-to-end, understand statistical pitfalls, and know when experiments are needed and when they're not

• Full-funnel fluency: acquisition → activation → conversion → retention. You can diagnose drop-offs, interpret cohort behaviour, and identify segmentation insights

• Advanced SQL; comfortable with Python/R for analysis and statistics