Role Description Roamless has a product that 1.5M+ travelers use across 200+ countries. We've built it fast. Now we're entering our optimization phase, and we don't have a product analytics practice yet. No experimentation framework, no analytics playbook, no established processes. You'll be the first dedicated product analytics hire at Roamless. That means you decide how we run experiments, choose the tools we use, make data accessible to the product team, and establish the frameworks that drive every product decision going forward. This is not a role where you inherit someone else's dashboards and maintain them. You'll set up how we measure success, how we design experiments, and how the team learns from data. You'll work closely with Elisa (Head of Product), and the wider product, design, and engineering teams. Your work will directly shape everything from onboarding to pricing across our app, website, and partner portal. What you will do: - Work closely with product managers, engineers, and designers as a strategic partner throughout the product development lifecycle, using data to shape decisions from ideation to execution - Design and run A/B tests end-to-end: define hypotheses, calculate sample sizes, monitor experiments, analyze results, and make clear recommendations to the product team - Build the experimentation framework from scratch: establish best practices for how we design, run, and learn from experiments across the app, website, and partner portal - Analyze user behavior and product metrics to identify optimization opportunities in our PLG metrics: activation, monetization, retention - Define and track key product metrics, ensuring the team understands what success looks like and how we measure it - Translate data insights into actionable product recommendations that directly improve the customer experience - Build our data culture: teach the product team how to think about experiments, interpret results, and make data-informed decisions Qualifications - 5+ years of experience as a Product Analyst or similar role at a tech company, working alongside product, design, and engineering teams - Hands-on experience designing and running A/B tests at scale (sample sizing, statistical significance, common pitfalls) and translating results into clear product recommendations - Experience setting up experimentation frameworks and analytics best practices, ideally from scratch or at an early-stage company - Proficient in SQL: you can write complex queries independently to extract and analyze large datasets - Experience creating dashboards with BI tools (Tableau, Looker, or similar) - Experience with product analytics tools (Mixpanel, Amplitude, or similar) - Strong communicator: you translate data into product recommendations that non-analysts can understand and act on - Proactive and resourceful: you thrive where things aren't fully defined, and you make them clearer - Startup or fast-paced environment experience. You are comfortable with ambiguity, happy to wear many hats Requirements - Python or R for statistical analysis - Experience with MongoDB, BigQuery, Snowflake, or Google Analytics - Experience in travel, marketplace, or subscription business models - Worked across mobile and web applications Benefits - Stock options. All employees are eligible for stock options subject to tenure and performance. - Hardware you need to be most productive - Fully remote. The trust and flexibility that come with a fully-remote setup. We're looking for someone based in Europe, or working in a Europe-friendly time zone (CET ±2 hours). - $200 non-expiry yearly Flex credit for data, hotspot, and calls. - Annual phone number subscription for $1/year. A real phone number (UK, Canada, or Australia) inside the Roamless app. - Full-time local contract via EOR - Supportive, diverse, inclusive team

• Identify growth opportunities and propose hypotheses to improve key product metrics • Support hypothesis generation, prioritization, validation, and impact assessment • Evaluate product changes using A/B testing and causal inference methodologies • Detect anomalies and investigate deviations in key product and business metrics • Build, maintain, and improve product dashboards and reporting • Deliver actionable insights and recommendations for product and marketing teams • Work closely with stakeholders to support data-driven product decisions

• Responsible for day-to-day execution to ensure cohesive performance across products, partner integrations, and business workflows. • Partner closely with Product Managers, Business Architects, and Engineering teams. • Own initial issue assessment by validating reported problems and conducting early investigation. • Identify patterns across defects, partner feedback, and operational issues to uncover systemic improvement opportunities. • Act as a connector across product, engineering, account management, and operations to ensure strategy reflects real-world execution.

Role Description We are looking for an insightful and detail-oriented Product Analyst to strengthen our analytics team and contribute to data-driven decision-making for our key business units. How you'll be contributing: - Monitoring and analyzing key product and payment funnel metrics - Working with user segments (incl. high-value customers) - Identifying anomalies in KPIs and finding their root causes - Generating hypotheses and uncovering growth opportunities - Supporting the development of our BI infrastructure (database + Tableau dashboards) - Contributing to business planning and modeling Qualifications - 3+ years of relevant experience in data analytics with a focus on product metrics - Proficient in SQL (PostgreSQL), Google Sheets, and Excel - Solid foundation in statistics and probability - Strong data visualization skills (preferably Tableau) - Experience working with cross-functional teams (product, payments, marketing, retention, etc.) - Excellent analytical thinking, self-organization, and attention to detail - Ability to clearly present insights to both technical and non-technical stakeholders - English - at least Intermediate (read documentation) Requirements - Knowledge of column-oriented storages (e.g., BigQuery, AWS Athena) - Nice to have - Strong GA4 analysis skills (analytics only — no setup required) - Nice to have Benefits - Office in Kyiv or Remote - 50% coverage of courses, training, and language programs - 100% coverage of team training programs - Free legal consultations + 50% discount on services - Health insurance - Flexible work schedule - Regular salary reviews - Friendly and curious team with team buildings across Ukraine