Remote Growth Analytics Lead — A/B Testing & Impact

Valiotti Data; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work from anywhere

Corporate learning budget

Job summary

Valiotti Data is seeking a product analytics professional to run the A/B testing program end to end and identify growth opportunities across subscriptions. You will turn product and behavioral data into decisions that the product team acts on, and partner with product leadership as its analytics counterpart.

You will build trustworthy metrics, dashboards, and experiment readouts, proposing worthwhile experiments and validating their results.

Qualifications

• 5–8 years in product analytics, growth analytics, or experimentation with impact on product decisions
• Proven ability to turn data into actionable product decisions
• Experience working with product leadership and cross-functional teams

Responsibilities

• Run the A/B testing program end to end (hypothesis, design, analysis, ship-or-no-ship decision)
• Identify growth opportunities across active subscriptions (onboarding to retention)
• Translate product and behavioral data into decisions for the product team
• Build and maintain trustworthy metrics, dashboards, and experiment readouts
• Own the experimentation roadmap and propose meaningful experiments

Skills

SQL & BigQuery

A/B testing design & analysis

Data storytelling

Statistical power & cohort analysis

Independent data quality investigation

Cross-functional collaboration

English proficiency (C1)

Education

Strong quantitative or STEM education

Tools

dbt

Metabase

Job description

Valiotti Data is seeking a product analytics professional to run the A/B testing program end to end and identify growth opportunities across subscriptions. You will turn product and behavioral data into decisions that the product team acts on, and partner with product leadership as its analytics counterpart.

You will build trustworthy metrics, dashboards, and experiment readouts, proposing worthwhile experiments and validating their results.