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1186 - Product Data Analyst, Mobile Apps

GoFasti

Skills

Required

  • SQL
  • retention
  • AI
  • BigQuery
  • product analytics
  • data analytics
  • window functions
  • complex joins
  • query optimization
  • Google Cloud Platform
  • modern data modeling practices
  • Python

Preferred

  • ad-monetized
  • AI-powered BI
  • agent-driven reporting workflows
  • large event datasets
  • event tracking plans
  • instrumentation
  • QA

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?

About GoFasti

  • We Make Remote Work Remarkable
  • TopTalent from LatAm

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

Responsibilities

  • 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

  • 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

Preferred

  • Experience with ad-monetized or subscription consumer apps
  • Experience with AI-powered BI tools or agent-driven reporting workflows

Pay

  • The salary range offered for this position varies from (USD) $2,500 - $3,000 per month, depending on seniority and skillset.
  • This position is for a full time contract, through a payroll platform.

Benefits

  • Experience at a mobile app company
  • The talent will work remotely allocated at our client.

Here are the steps for this process

Application review/approval

Screening interview with GoFasti's team

  • We build and send your profile to our client
  • Profile review/approval by client

Interview with the client

  • Hiring and onboarding.
  • Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.

Note for Candidates Approached Directly

If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.

Thank you!