1186 - Product Data Analyst, Mobile Apps

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Product Data AnalystData & AI

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Quick Summary

Key Responsibilities

Own analysis for assigned mobile apps: activation, feature adoption, onboarding drop-off, engagement,

Requirements Summary

2+ years of experience in product analytics, data analytics, or a related role Strong SQL skills: CTEs, window functions, complex joins,

Technical Tools

Product Data AnalystData & AI

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Product Data Analyst, Mobile Apps, based in Brazil, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities

~1 min read

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Own analysis for assigned mobile apps: activation, feature adoption, onboarding drop-off, engagement, and retention
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Turn product questions into well-scoped analyses and clear recommendations
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Build funnel, cohort, and retention analyses on large event datasets in BigQuery
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Partner with product managers and engineers on event tracking plans and instrumentation QA
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Run A/B tests from analysis through readout
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Develop and maintain SQL and dbt models that power reporting and analysis
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Use AI tools daily to write and review queries, automate recurring reports, and speed up insight generation
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Build dashboards and self-serve reports to support product owners
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Catch anomalies and data integrity gaps, then fix or escalate them
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Present findings to non-technical audiences in clear, concise narratives
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Proactively surface trends and opportunities
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Collaborate with product, marketing, and engineering in a remote, async-friendly environment

Requirements

~1 min read

2+ years of experience in product analytics, data analytics, or a related role
Strong SQL skills: CTEs, window functions, complex joins, and query optimization on large datasets
Hands-on experience with BigQuery and Google Cloud Platform
Working familiarity with dbt and modern data modeling practices
Solid analysis skills: funnels, cohorts, retention, and event data
Experience with A/B testing: hypotheses, sample size, statistical significance, and interpreting results
Programming ability, ideally in Python, for analysis and automation beyond SQL
Daily use of AI tools in your analytics workflow
Experience with a BI or visualization tool (Datastudio, QuickSight, or similar)
Strong written and verbal communication skills
Comfortable with ambiguity and shifting priorities
Fluent English and at least 4 hours of overlap with US Eastern business hours