Senior Data Analyst

GoFastiProduct analytics

Based in Latin America, available to work remotely, at least 4 hours of overlap with US Eastern business hoursContractSenior

Salary4,000 - 5,500 USD per month

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Job Details

Languages: Fluent English
Experience: 5+ years of experience in product analytics, data analytics or a related role with consumer mobile apps or web products
Required Skills: PythonSQLProduct AnalyticsA/B testing

Have 5+ years of experience in product analytics, data analytics, or a related role involving consumer mobile apps or web products.
Use advanced SQL, including window functions, CTEs, complex joins, and query optimization on large datasets.
Have hands-on experimentation experience, including A/B test design, power analysis, and statistical testing.
Have strong product analytics fundamentals, including funnel and cohort analysis, event data, and instrumentation.
Use AI tools daily in an analytics workflow, such as Claude, Claude Cowork, or Claude Code.
Have working knowledge of Python for analysis.
Be comfortable with ambiguity and shifting priorities and take ownership from question through recommendation.
Have strong written and verbal communication skills.
Be fluent in English.
Have at least 4 hours of overlap with US Eastern business hours.

Own product analytics across mobile apps and web/browser products, including activation, feature adoption, onboarding drop-off, engagement, and retention.
Partner with product owners and shape roadmap priorities using data.
Build analytical frameworks to support data-informed decisions about new and existing features.
Turn ambiguous product questions into analyses and clear recommendations.
Partner with product managers on event tracking plans and instrumentation QA.
Own A/B tests and feature experiments from hypothesis and power analysis through readout and ship decision.
Use AI tools to automate recurring reporting and speed up 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, surface trends and opportunities, and mentor other analysts.

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