Product Data Analyst, Mobile Apps
New
J
JobgetherMobile applications
Fully remote position, based in Brazil., Availability to overlap with US Eastern business hours for at least four hours per working day.ContractJunior
Salary2,500 - 3,000 USD per month
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Job Details
- Languages
- Fluency in English
- Experience
- At least 2 years of professional experience in Product Analytics, Data Analytics, or a related analytical role.
- Required Skills
- PythonSQLProduct AnalyticsA/B testingBigQuerydbt
Requirements
- At least 2 years of professional experience in Product Analytics, Data Analytics, or a related analytical role.
- Strong SQL proficiency, including 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.
- Practical experience in funnel analysis, cohort analysis, retention measurement, and event-based product analytics.
- Experience with A/B testing, including hypothesis formulation, sample size calculations, statistical significance, and results interpretation.
- Programming skills, preferably in Python, for advanced analysis and automation beyond SQL.
- Regular use of AI-powered tools in analytical workflows, including query development, automation, and insight generation.
- Experience with BI and data visualization tools such as Looker Studio, Amazon QuickSight, or similar platforms.
- Fluency in English and ability to communicate effectively in an international environment.
- Availability to overlap with US Eastern business hours for at least four hours per working day.
- Previous experience in a mobile application company is a plus.
- Familiarity with consumer applications using advertising-based monetization or subscription business models is a plus.
- Experience with AI-powered BI tools or agent-driven reporting and analytics workflows is a plus.
Responsibilities
- Own product analytics for assigned mobile applications, monitoring activation, feature adoption, onboarding drop-off, engagement, and retention.
- Translate product questions into analytical investigations and deliver actionable recommendations.
- Build funnel, cohort, and retention analyses using large-scale event datasets in BigQuery.
- Define event tracking strategies with product managers and engineering teams, implement instrumentation plans, and perform tracking quality assurance.
- Design and evaluate A/B tests from hypothesis development and measurement planning through results interpretation and stakeholder presentations.
- Develop and optimize SQL queries and dbt models for reporting, analysis, and business intelligence.
- Use AI-powered tools to support query development and review, automate recurring reports, and accelerate insight generation.
- Create dashboards and self-service reporting solutions for product teams.
- Identify and resolve or escalate data anomalies, inconsistencies, and integrity issues.
- Present findings to non-technical stakeholders and collaborate with product, marketing, and engineering teams.
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