Description At MEDvidi, we are building a modern mental healthcare platform in the US, helping patients access care faster and more affordably. We are looking for a Product Data Analyst to join the Patient Journey team and help us make data-driven decisions across key user flows - from subscription adoption and booking/payment experience to retention and overall patient engagement within the platform. During the first several months in the role, a key focus will be helping us strengthen the metrics framework around our subscription model: understanding how the current flow works, defining the right North Star and supporting metrics, identifying growth opportunities, designing A/B tests, and building dashboards that help the team monitor product performance and make better decisions. This is a hands-on analytics role with a strong product focus. We are looking for someone who can work with ambiguity, challenge assumptions, connect data with user behavior, and explain why a certain metric, test design, or product decision makes sense. Requirements 3+ years of hands-on experience as a Product Analyst / Data Analyst working closely with product teams. Strong experience with B2C product analytics, ideally in subscription, marketplace, consumer app, booking, fintech, gaming, healthtech, edtech, or similar user-facing products. Strong SQL skills, including ability to work with complex queries and understand existing data logic. Strong Python skills for analytical work: Pandas/Jupyter, data investigation, validation, and structural analysis. Experience designing or analyzing A/B tests, including primary metrics, guardrail metrics, trade-offs, MDE/sample size considerations, and interpretation of results. Ability to define and challenge product metrics, not just report numbers. Strong product intuition: ability to connect metric changes with user behavior, funnel logic, business context, and possible risks outside the immediate flow. Experience working with incomplete data, ambiguous tasks, and non-perfect documentation. Ability to independently investigate problems, generate hypotheses, validate them with data, and clearly explain the reasoning behind decisions. Experience building dashboards in BI tools, preferably Tableau. Fluent Russian; English level B2 or higher. Ability to work CET-overlapping hours and readiness for B2B model. Nice to Have: Experience with subscription products or subscription adoption/retention metrics. Experience building a metrics framework or metrics pyramid from scratch. Experience with patient journey, booking, payment, onboarding, acquisition, retention, or monetization flows. Experience in startup / scale-up environments. Experience challenging product decisions with data and influencing PMs or stakeholders. Responsibilities Develop and evolve the metrics framework for MEDvidi’s subscription model, including North Star and supporting metrics. Analyze user behavior across acquisition, booking, payment, subscription, and appointment flows to identify growth opportunities and product risks. Design, evaluate, and interpret A/B tests, including primary metrics, guardrails, trade-offs, and statistical limitations. Partner closely with Product Managers and cross-functional teams to support data-driven product decision-making. Investigate ambiguous product problems, generate hypotheses, validate them through data, and clearly communicate findings and recommendations. Build dashboards and monitoring systems that help teams track product performance and make informed decisions. Work with existing SQL models and analytical logic, validate metric consistency, and improve analytical reliability. Connect changes in product metrics with broader user behavior and business context, not only within a single funnel step. Challenge assumptions and contribute analytical perspectives during product discussions and prioritization. Collaborate with analysts and stakeholders to improve experimentation quality and product analytics maturity. Why Join Us Meaningful healthcare product helping patients across the US. Fully remote, long-term B2B collaboration with compensation in USD. Fast-moving startup environment with high ownership and minimal bureaucracy. Product-driven culture with real influence on product and growth decisions. Career development and growth opportunities. Strong cross-functional collaboration across Product, Design, Engineering, and Analytics. Paid vacation, wellness days, and sick leave. Sports & wellness compensation. Personalized English lessons via Preply. Ready to make an impact? Send us your profile - let's build something meaningful together.

Product Data Analyst (Subscription model)

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