Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
GoFasti

Product Data Analyst, Mobile Apps

GoFasti

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

Posted 10/30/2026full-timeRemote • BrazilJuniorMid-Level💰 $2,500 - $3,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product analytics and data analysis, with strong SQL skills and hands-on experience in BigQuery and Google Cloud Platform. Proficient in building dashboards, conducting A/B testing, and presenting insights to diverse audiences.

Highest-signal resume keywords
SQL SkillsBigQuery ExperienceA/B Testing ExpertiseData Analysis SkillsPython Programming

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData AnalysisA/B TestingEvent TrackingData ModelingFunnel AnalysisCohort AnalysisRetention AnalysisQuery OptimizationStatistical Significance
Soft Skills
Strong Communication SkillsComfort With AmbiguityCollaborationProactive Problem SolvingAdaptability
Tools & Technologies
BigQueryGoogle Cloud PlatformDbtAI ToolsBI ToolsData StudioQuickSight
Industry Keywords
Product AnalyticsData AnalyticsEvent DataEngagementRetentionOnboarding Drop-offFeature Adoption

Tech Stack

Tools & technologies
BigQueryCloudGoogle Cloud PlatformPythonSQL

About the role

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

Requirements

What you’ll need
  • 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
  • Comfort with ambiguity and shifting priorities
  • Fluent English and at least 4 hours of overlap with US Eastern business hours

Benefits

Comp & perks
  • Remote work
  • Full-time contract through a payroll platform