Senior Product Data Analyst

Remote Full-time
Drive growth, activation, and retention through data-driven insights at Oppizi.About OppiziOppizi is a bootstrapped, profitable offline performance marketing platform helping businesses track, scale, and optimize flyering campaigns. Operating in 10+ countries (including Australia, New Zealand, France, the UK, the US, and Canada), we work with top brands like Uber, Uber Eats, DoorDash, Getaround, Deliveroo, and DiDi.Our platform powers Hand-to-Hand, Door-to-Door, and Direct Mail campaigns, and we’re continuously innovating new marketing channels.To accelerate growth through data, we’re looking for an experienced Product Analyst to drive insights on user behavior, retention, activation, and monetization and help us build a truly data-driven product team.What You’ll DoAs a Product Analyst at Oppizi, you will: Own daily tracking and insights, monitoring onboarding, adoption, and retention to ensure we act on real-time data. Advance and maintain growth models, updating key spreadsheets to analyze trends, retention, and unit economics. Support PMs and Designers by measuring the impact of new features, running A/B tests, and validating hypotheses. Manage and advocate for PostHog (our product analytics tool), ensuring teams get maximum value from our data. Participate in squads and product ceremonies, ensuring the product team is truly data-informed. Analyze qualitative and quantitative data, combining user recordings, surveys, and behavior analytics to uncover insights. Partner with the marketing team to integrate customer acquisition data, tracking how it impacts product growth, ROI, and unit economics. RequirementsWhat You BringMust-Have: 5+ years of experience in product analytics, ideally in startups or scale-ups. Proven expertise in analyzing growth, retention, activation, and monetization using tools like Amplitude, PostHog, or Pendo. Hands-on experience with Product-Led Growth (PLG) and a strong understanding of PLG metrics (this will be tested). Advanced SQL and spreadsheet skills, with experience structuring data for analysis. Experience designing and analyzing A/B tests and experiments. Understanding of event tracking, including event definitions and organization. Excellent communication and presentation skills—you can turn data into actionable insights that influence decisions. Nice to Have: Bachelor’s degree in Data Science, Statistics, or related field (a plus). Certifications in growth/product analytics (e.g., Reforge, ProductLed, or similar). Familiarity with AI-powered data analysis tools. Python skills for advanced analytics. BenefitsWhy Oppizi? Bootstrapped and profitable—we focus on real business impact. Unlimited PTO and a fully remote work setup. Diverse, global team across 17+ nationalities. Opportunities for growth and learning in a fast-paced, data-driven environment. Direct collaboration with our CEO, CPO, and product team, influencing key decisions. The ProcessWe believe in efficient and structured hiring to ensure a great fit: Screening Interview – Meet with our recruiter to ensure alignment. Tech Assignment – A practical product growth analysis task to be presented to the CPO. Final Interview – Meet with key stakeholders to discuss your approach and insights. Offer – Welcome to the Oppizi team! Location & TimezoneThis is a remote role open to candidates based in Europe or LatAm who agree on working between GMT-1 / GMT+1 time zone.Apply NowIf you’re a Product Analyst passionate about growth, retention, and making data-driven decisions, apply now!Bonus Tip:If you believe you’re the perfect fit, reach out directly to Ron Lussari on LinkedIn to pitch your case: https://www.linkedin.com/in/ronlussariAbout the companyOppizi is the first major multi-channel player in offline performance marketing. We’ve built a technology that enables tracking, scaling, and optimizing of flyering campaigns. We offer five channels, Hand-to-hand (in people’s hands), Door-to-Door (in people’s mailboxes), Direct Mail (in people’s mailboxes via national post service), Door Hangers (by leaving them on cars or doorknobs of residential properties) and Sampling (by providing the target audience with relevant products). We operate in ten countries, the main ones being Australia, New Zealand, France, the UK, the US, and Canada. We are very privileged to work with flagship accounts like Uber Eats, DoorDash, Getaround, DiDi, Deliveroo, Amazon, and many others.

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