1186 - Product Data Analyst, Mobile Apps

GoFasti · posted Oct 30, 2026

Open to candidates in Brazil

$30k–$36k · Contract · Junior

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What this job asks for

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Must have

  • •2+ years experience in product analytics
  • •Strong SQL skills
  • •Hands-on experience with BigQuery
  • •Experience with A/B testing
  • •Programming ability (Python)
  • •Fluent English

Nice to have

  • •Experience at a mobile app company
  • •Experience with ad-monetized apps
  • •Experience with AI-powered BI tools

Tools and technologies

BigQuery, Google Cloud Platform, dbt, Python, Datastudio, QuickSight

Languages required

en

Read the full posting

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 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:

  • 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

It's a plus:

  • Experience at a mobile app company

  • Experience with ad-monetized or subscription consumer apps

  • Experience with AI-powered BI tools or agent-driven reporting workflows

Compensation:

  • 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.

  • 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!

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