Lead Product Analyst, Lifecycle Marketing

Zigsaw

Lead Product Analyst driving analytics for lifecycle and CRM initiatives at Pinterest. Collaborating with teams to improve retention strategies through data insights and experimentation.

Posted 7/23/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $145,747 - $300,067 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in lifecycle marketing and CRM analytics, with a strong focus on user behavior measurement and retention strategies. Proficient in designing and interpreting A/B tests to drive growth and improve lifecycle programs.

Highest-signal resume keywords

Lifecycle MarketingCRM AnalyticsUser Behavior MeasurementSQL ProficiencyA/B Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AnalyticsCohort AnalysisData InterpretationGrowth Experiment DesignUser Engagement Measurement

Soft Skills

CommunicationInfluencing Through Data

Certifications & Qualifications

Graduate Degree in Quantitative Field

Industry Keywords

Consumer TechData-Driven EnvironmentRetention StrategiesLifecycle ProgramsImpact Measurement

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Serve as the strategic analytics partner for lifecycle and CRM initiatives
Partner with PMM, Product, and Data Science to measure impact, improve lifecycle programs, and identify opportunities
Own measurement strategy for lifecycle programs and experiments
Analyze user behavior across lifecycle stages to identify patterns and high-impact levers for retention
Communicate insights clearly and influence through data

Requirements

What you’ll need

8+ years of experience in analytics in a fast-paced, data-driven environment, ideally in consumer tech
Strong background in lifecycle marketing, CRM analytics, retention, engagement, cohort analysis, and user behavior measurement
Proven experience designing, executing, and interpreting A/B tests and other growth experiments
Highly proficient in SQL and comfortable using data independently
Graduate degree in a quantitative field such as mathematics, statistics, computer science, engineering, or equivalent practical experience.

Benefits

Comp & perks

flexibility to do your best work
equal opportunity employer