1186 - Product Data Analyst, Mobile Apps
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-10-30). Last seen at its source 5h ago.
We have tracked this listing since 30 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Pay
$2,500–3,000/mo
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 2d ago · last seen 5h ago
The listing
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!