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Product Data Analyst (Subscription model)

CompraTica Empleos

EMP:Finance
Serbia
Tiempo Completo
Remoto
0 vistas

Descripción

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.

Requisitos

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.

Habilidades

, 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 dat.

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