Product Data Analyst, Mobile Apps

Remote; San Francisco (CA); A distancia; USD 28.000 - 33.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote (Brazil-based work setup)

International exposure

Professional development

Collaborative environment

Descripción de la vacante

Remote is seeking a Product Data Analyst to drive data-informed decisions across mobile apps. You will own product analytics, explore activation, engagement, and retention, and translate questions into actionable insights for product teams.

You will build robust analytics, instrumentation, and AI-assisted reporting in a fully remote, international setting. You will collaborate with product managers, engineers, and marketing to define tracking, run A/B tests, and produce insightful dashboards.

Formación

• 2+ years of professional experience in Product Analytics or related role.
• Strong SQL proficiency including CTEs, window functions, complex joins, and large dataset optimization.
• Hands-on experience with BigQuery and Google Cloud Platform (GCP).
• Experience with dbt and modern data modeling practices.
• Strong analytical capabilities with funnel, cohort, retention metrics.
• Experience with A/B testing methodologies and interpretation of results.
• Programming skills, preferably Python, for advanced analysis and automation.
• Regular use of AI-powered tools in analytical workflows.
• Experience with BI and data visualization tools like Looker Studio, QuickSight, etc.
• Excellent written and verbal communication; ability to explain complex analytics to diverse audiences.
• Adaptability in ambiguity, evolving priorities, and changing requirements.
• Fluency in English with international collaboration capacity.
• Availability to overlap with US Eastern hours for 4+ hours daily.
• Attention to detail, proactive problem-solving, curiosity, and continuous learning.

Responsabilidades

• Own product analytics for mobile apps, tracking activation, adoption, onboarding drop-off, engagement, and retention.
• Translate questions into structured analytical investigations and provide actionable insights.
• Build and maintain funnel, cohort, and retention analyses using large event datasets.
• Collaborate with product managers/engineers to define event tracking and instrumentation; perform QA.
• Design, analyze, and evaluate A/B tests and present results to stakeholders.
• Develop and optimize SQL queries and dbt models to support reporting and BI.
• Integrate AI-powered tools to automate reporting and accelerate insights generation.
• Create and maintain dashboards and self-service reporting for product teams to monitor performance.
• Identify data quality issues and resolve or escalate as needed.
• Present analytical findings to non-technical stakeholders with clear narratives.
• Proactively identify trends and opportunities through ongoing data exploration.
• Collaborate with dispersed teams in a distributed, asynchronous-friendly environment.

Conocimientos

SQL

Python

A/B testing

Funnel analysis

Cohort analysis

Herramientas

BigQuery

dbt

Looker Studio

Amazon QuickSight

Descripción del empleo

We are looking for a skilled and analytical Product Data Analyst to drive data-informed decision-making across mobile applications. In this role, you will take ownership of product analytics, exploring user behavior, activation, feature adoption, engagement, and retention. You will transform complex datasets into actionable insights that help product teams improve user experiences and business performance. Working closely with product managers, engineers, and marketing teams, you will develop analytical models, optimize tracking systems, and evaluate product experiments. You will also leverage AI-powered tools to streamline workflows, automate reporting, and accelerate insight generation. This is an exciting opportunity to contribute to the growth of digital products within an international, remote-first, and collaborative environment.

Accountabilities:

• Own product analytics for assigned mobile applications, monitoring key metrics such as user activation, feature adoption, onboarding drop-off, engagement, and retention.

• Translate product-related questions into structured analytical investigations, delivering clear insights and actionable recommendations.

• Build and maintain funnel, cohort, and retention analyses using large-scale event datasets in BigQuery.

• Collaborate with product managers and engineering teams to define event tracking strategies, implement instrumentation plans, and perform tracking quality assurance.

• Design, analyze, and evaluate A/B tests, from hypothesis development and measurement planning through results interpretation and stakeholder presentations.

• Develop, maintain, and optimize SQL queries and dbt models to support reliable reporting, data analysis, and business intelligence.

• Integrate AI-powered tools into daily analytical workflows to write and review queries, automate recurring reports, and accelerate insight generation.

• Create and maintain dashboards and self-service reporting solutions that empower product teams to monitor performance independently.

• Identify data anomalies, inconsistencies, and integrity issues, taking ownership of resolving them or escalating them to the appropriate teams.

• Present analytical findings to non-technical stakeholders through clear, concise, and compelling narratives.

• Proactively identify emerging trends, product opportunities, and areas for improvement through continuous data exploration.

• Collaborate with product, marketing, and engineering teams in a distributed, asynchronous-friendly working environment.

Requirements:

• At least 2 years of professional experience in Product Analytics, Data Analytics, or a related analytical role.

• Strong SQL proficiency, including Common Table Expressions (CTEs), window functions, complex joins, and query optimization for large datasets.

• Hands-on experience with BigQuery and Google Cloud Platform (GCP).

• Working knowledge of dbt and modern data modeling practices.

• Strong analytical capabilities, with practical experience in funnel analysis, cohort analysis, retention measurement, and event-based product analytics.

• Experience with A/B testing methodologies, including hypothesis formulation, sample size calculations, statistical significance, and results interpretation.

• Programming skills, preferably in Python, to support advanced analysis, automation, and tasks beyond SQL.

• Regular use of AI-powered tools in analytical workflows, including query development, automation, and insight generation.

• Experience with business intelligence and data visualization tools such as Looker Studio (formerly Data Studio), Amazon QuickSight, or similar platforms.

• Excellent written and verbal communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.

• Adaptability and comfort working with ambiguity, evolving priorities, and changing business requirements.

• Fluency in English, with the ability to communicate effectively in an international environment.

• Availability to overlap with US Eastern business hours for at least four hours per working day.

• Strong attention to detail, proactive problem-solving abilities, curiosity, and a continuous learning mindset.

Nice to have:

• Previous experience working in a mobile application company.

• Familiarity with consumer applications using advertising-based monetization or subscription business models.

• Experience with AI-powered business intelligence tools or agent-driven reporting and analytics workflows.

Benefits:

• Monthly compensation: USD $2,500–$3,000, depending on experience, seniority, and skill set.

• Employment arrangement: Full-time contract through a payroll platform.

• Work location: Fully remote position, based in Brazil.

• International exposure: Opportunity to collaborate with an international client and distributed teams.

• Professional development: Exposure to modern analytics technologies, AI-powered tools, mobile product analytics, and data-driven product development.

• Collaborative environment: Opportunity to work alongside product, engineering, and marketing professionals in a remote, asynchronous-friendly setting.