Senior Data Analyst

GoFasti

. Own product analytics across mobile apps and web/browser products, including activation, feature adoption, onboarding drop-off, engagement and retention .

Posted 10/16/2026full-timeRemoteSenior💰 $4,000 - $5,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in product analytics, including A/B testing, SQL, and data-driven decision-making for mobile and web products. Proficient in using AI tools for reporting and analysis while effectively communicating insights to diverse audiences.

Highest-signal resume keywords

Product AnalyticsAdvanced SQLA/B Test DesignAI Tools UsageData Integrity Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product AnalyticsAdvanced SQLA/B Test DesignFunnel AnalysisCohort AnalysisEvent Data InstrumentationPythonStatistical TestingData ModelingCloud Data Warehousing

Soft Skills

Strong Communication SkillsOwnershipMentoring

Tools & Technologies

AI ToolsAmazon QuickClaudeGoogle CloudAWSDbt

Industry Keywords

Consumer Mobile AppsWeb ProductsAd-Monetized AppsSubscription Apps

Tech Stack

Tools & technologies

AndroidAWSCloudPythonSQL

About the role

Key responsibilities & impact

Own product analytics across mobile apps and web/browser products, including activation, feature adoption, onboarding drop-off, engagement and retention
Act as the primary analytics partner for product owners and shape roadmap priorities with data
Build analytical frameworks for data-informed product decisions
Turn ambiguous product questions into concrete analyses and clear recommendations
Partner with product managers on event tracking plans and instrumentation QA
Own A/B tests and feature experiments end to end, including hypothesis, power analysis, readout and ship decision
Use AI tools to automate recurring reporting and accelerate insight generation
Build self-serve reporting for product owners
Identify 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
Mentor other analysts and share best practices across the team

Requirements

What you’ll need

5+ years of experience in product analytics, data analytics or a related role with consumer mobile apps or web products
Advanced SQL: window functions, CTEs, complex joins and query optimization on large datasets
Hands-on experimentation experience, including A/B test design, power analysis and statistical testing
Strong product analytics fundamentals: funnel and cohort analysis, event data and instrumentation
Daily use of AI tools in your analytics workflow, such as Claude, Claude Cowork or Claude Code
Working knowledge of Python for analysis
Comfortable with ambiguity and shifting priorities; you take ownership from question through recommendation
Strong written and verbal communication skills
Fluent English and at least 4 hours of overlap with US Eastern business hours
Experience with ad-monetized or subscription consumer apps
Familiarity with dbt or modern data modeling practices
Experience with Android apps, browsers or browser extensions
Experience with cloud data warehouses on AWS or Google Cloud
Experience with Amazon Quick or other AI-powered BI tools
Experience building AI-powered or agent-driven reporting workflows

Benefits

Comp & perks

Remote work
Full-time contract through a payroll platform