Product Data Analyst, Mobile Apps

Remote

Actively hiring, first seen by us 4 days ago

Pay: USD 2,500–3,000/month — pay source
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.
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Work setting: Remote — work setting source
Listed location: Remote
Read the full posting
Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting

Analyze activation, adoption, onboarding drop-off, engagement and retention for assigned apps
Build funnel, cohort and retention analyses on large event datasets in BigQuery
Run A/B tests from analysis through readout
Develop and maintain SQL and dbt models that power reporting
Build dashboards and self-serve reports for product owners

From the employer’s posting

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

Build funnel, cohort, and retention analyses on large event datasets in BigQuery

Run A/B tests from analysis through readout

Develop and maintain SQL and dbt models that power reporting and analysis

Build dashboards and self-serve reports to support product owners

What you’ll bring

All qualifications

Core experience

2+ years of experience in product analytics, data analytics, or a related role
Experience with A/B testing: hypotheses, sample size, statistical significance, and interpreting results
Experience with a BI or visualization tool (Datastudio, QuickSight, or similar)
Experience at a mobile app company
Strong SQL skills: CTEs, window functions, complex joins, and query optimization on large datasets
Experience with ad-monetized or subscription consumer apps

Qualification wording

2+ years of experience in product analytics, data analytics, or a related role

Experience with A/B testing: hypotheses, sample size, statistical significance, and interpreting results

Experience with a BI or visualization tool (Datastudio, QuickSight, or similar)

Experience at a mobile app company

Strong SQL skills: CTEs, window functions, complex joins, and query optimization on large datasets

Experience with ad-monetized or subscription consumer apps

Apply at GoFasti

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 31, 20264 days ago
Recorded sightings: 5
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 5 and day 41.

From 10,558 similar postings that came down. Coming down is not always a hire.

GoFasti is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
BigQuery
dbt
GCP

Where the posting names them

- 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

- 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

- 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

- 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

- 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

- 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

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original 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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