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About the Role

As the Lead Product Analyst- Lifecycle Marketing, you will serve as the strategic analytics partner for lifecycle and CRM initiatives, helping shape retention strategy through cohort-based insights, experimentation, and cross-functional partnership. You will partner deeply with PMM, Product, and Data Science to measure impact, improve lifecycle programs, and identify the highest-leverage opportunities to drive retention. This role is ideal for someone who combines strong analytical rigor, operational execution, and excellent communication skills. You should be comfortable moving from hands-on analysis to clear recommendations, and from detailed experiment readouts to polished presentations for cross-functional and leadership audiences.

Responsibilities

Be the analytical thought partner for lifecycle, CRM, and retention strategy.
Partner closely with PMM and Product to identify the biggest opportunities to improve retention, re-engagement, and long-term user value.
Use cohort analysis and lifecycle insights to help prioritize where the business should invest.
Own measurement strategy for lifecycle programs and experiments.
Define success metrics and measurement frameworks for CRM and lifecycle initiatives.
Design, execute, and evaluate A/B tests and other experiments to understand what drives retention, engagement, and sustained behavior change.
Drive cohort-based insights that improve user retention.
Analyze user behavior across lifecycle stages to identify patterns, drop-off points, and high-impact levers for retention.
Go beyond reporting to uncover actionable insights that inform targeting, messaging, timing, and program design.
Support operational excellence in experimentation and reporting.
Be self-sufficient in setting up analyses, monitoring experiment performance, identifying issues, and delivering clear recommendations.
Build scalable dashboards, reporting cadences, and frameworks that enable fast, high-quality decision-making.
Communicate insights clearly and influence through data.
Translate complex analysis into concise, compelling narratives for technical and non-technical audiences.
Present findings and recommendations in a way that drives alignment across PMM, Product, and leadership stakeholders.

Requirements

Strong lifecycle / CRM / retention analytics experience.
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.
Deep experimentation and measurement capability.
Proven experience designing, executing, and interpreting A/B tests and other growth experiments.
Able to independently define metrics, assess results, identify tradeoffs, and make clear business recommendations.
Expert SQL skills.
Highly proficient in SQL and comfortable using data independently to answer business questions and support experimentation.
Operational and self-sufficient.
Comfortable owning analyses end-to-end, working in self-serve environments, and moving from problem definition through implementation support, measurement, and recommendation.
Excellent communication and presentation skills.
Able to synthesize complex findings into clear takeaways for a wide range of audiences.
Comfortable influencing cross-functional teams and presenting insights and recommendations to senior stakeholders.
Cross-functional partnership strength.
Proven ability to work closely with PMM, Product, and Engineering.
Collaborative, low ego, and effective at aligning partners around data-informed decisions.
Retention-oriented mindset.
Understands how to evaluate user behavior over time, identify retention drivers, and distinguish short-term engagement lifts from sustained long-term impact.
AI-augmented analytical workflow.
Demonstrated ability to use AI tools to improve analytical efficiency, synthesis, or workflow speed, while maintaining sound judgment, validating outputs, and owning final recommendations.
US based applicants only

Skills

Lifecycle marketing
CRM analytics
Retention
Engagement
Cohort analysis
User behavior measurement
A/B testing
SQL
Python
Communication
Presentation
Data analysis
Experimentation
Measurement
AI tools

Location

Remote (situated anywhere in the country)

Work Type

Hybrid (in-office 1-2 times every 6 months)

Experience Level

8+ years of experience in analytics

Education Level

Graduate degree in a quantitative field such as mathematics, statistics, computer science, engineering, or equivalent practical experience.

Salary/Compensations

$145,747—$300,067 USD

Benefits

Equity

About the Company

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.
At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.
Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.
Information regarding the culture at Pinterest and benefits available for this position can be found here.

Equal Opportunity

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
We want to have the best qualified people in every job.
All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you require a medical or religious accommodation during the job application process, please complete this form for support.