Product Analytics Manager

This is a fully remote position, open to applicants in Europe.

📋 Description

• Take ownership of the complete customer journey, starting from the initial visit to long-term account management.

• Analyze metric fluctuations and identify anomalies down to their root causes.

• Distinguish behaviors that differentiate customers who remain and grow from those who do not.

• Translate behavioral insights into actionable recommendations for activation, engagement, conversion, retention, and expansion.

• Design experiments by setting success metrics and boundaries, sizing them accurately, and interpreting the implications of the results.

• Integrate quantitative analysis with customer interviews, support inquiries, and discussions with Customer Success to comprehend the reasons behind events.

• Advocate for product modifications using data-driven evidence and prioritize roadmap initiatives.

• Maintain dashboards and analyses that stakeholders across the company can utilize independently.

• Collaborate closely with Product, Design, Engineering, Marketing, and Customer Success teams; insights will influence product development.

⛳️ Requirements

• At least 4 years of experience in product analytics, demonstrating a history of insights that have influenced team deliverables.

• Experience with B2B SaaS product analytics at a company generating a minimum of $10M in ARR.

• Knowledge of account-level health in contrast to individual user adoption, multi-seat behavior, and signals for expansion and churn when the buyer and user are different.

• Proficiency with a product analytics platform such as Amplitude, Mixpanel, PostHog, or similar tools.

• Comfort in using SQL for inquiries that product analytics tools cannot address.

• Extensive experience in analyzing funnels, cohorts, retention, segmentation, feature adoption, and user journey.

• Proven experience in designing and assessing experiments, including the ability to identify inconclusive results.

• Strong product intuition with the capability to support opinions with data.

• Excellent written and verbal communication skills; capable of conveying context, options, and recommendations to non-technical stakeholders.

• A genuine sense of curiosity and proactivity in exploring unasked questions.

• Preferred: experience in self-serve or product-led startup growth.

• Preferred: familiarity with event instrumentation and tracking design.

• Preferred: comfort with modern data tools such as data warehouses and dbt, as well as AI-assisted analysis workflows.

🏝️ Benefits

• Opportunity to shape the customer journey and impact product development.

• Work in a collaborative environment with cross-functional teams.

• Access to cutting-edge analytics tools and resources.