Lead Product Analyst, Pinner Engagement

About the role

This position sits at the intersection of analytics and product strategy, focusing on how users build lasting connections with Pinterest over time. You will serve as the central analytical mind for the Pinner Engagement team, owning the metrics and experiments that define success in retention and re-engagement. The role requires a deep partnership with marketing, communications, and creative stakeholders to translate behavioral insights into actionable test ideas. You will be responsible for establishing the analytical framework that measures the impact of lifecycle initiatives on long-term user value. Success in this role hinges on your ability to move beyond surface-level metrics and uncover the underlying behaviors that signal genuine engagement. You will leverage advanced quantitative methods to ensure that product and marketing investments drive meaningful returns. The position demands intellectual curiosity and a structured approach to problem-solving in a fast-paced, data-centric environment. Ultimately, you will guide critical decisions that shape how Pinterest acquires, retains, and nurtures its most valuable users.

Key facts

What you'll do

• Drive the analytical strategy for user retention programs by defining core metrics, setting up tracking, and leading the interpretation of results.
• Architect and manage measurement frameworks for lifecycle campaigns, establishing the guardrails for experiment design and performance evaluation.
• Conduct deep-dive behavioral analyses to map the user journey and isolate the specific actions that correlate with increased long-term retention.
• Optimize the efficiency of data workflows, ensuring that dashboards are accurate, automated, and provide timely insight for decision-makers.
• Translate complex statistical findings into compelling narratives that resonate with executive leadership and influence strategic planning.
• Partner closely with product managers to translate business hypotheses into testable frameworks and define the success criteria for new features.
• Collaborate with engineering teams to ensure data infrastructure supports rigorous analysis, validating that the underlying data is reliable and accessible.
• Liaise with creative and marketing partners to evaluate the performance of messaging and channels, identifying the combinations that drive sustained engagement.
• Utilize advanced analytical techniques to segment users by behavior, uncovering niche audiences that exhibit strong retention characteristics.
• Mentor junior analysts on best practices for experimentation, SQL writing, and data storytelling within the analytics function.
• Evaluate the incremental impact of marketing initiatives by constructing control groups and applying statistical methods to isolate true lift.
• Maintain a living documentation of key retention drivers, updating hypotheses as new data emerges from ongoing tests and observations.
• Leverage artificial intelligence tools to automate routine analysis, accelerate data exploration, and enhance the quality of insights generated.
• Establish a feedback loop between analysis and execution, ensuring that learnings from experiments are rapidly incorporated into future engagement tactics.

Requirements

• Bring a minimum of 8 years of professional experience in analytics, with a demonstrated focus on user retention, engagement, and lifecycle marketing.
• Show a proven track record of designing, running, and interpreting A/B tests and other rigorous growth experiments to inform product decisions.
• Exhibit advanced proficiency in SQL, enabling you to independently wrangle large datasets and perform complex analytical queries.
• Demonstrate the ability to manage analytical projects end-to-end, from initial hypothesis to final delivery, with minimal need for direct supervision.
• Display strong skills in presenting data and influencing cross-functional teams, including senior management, to drive alignment and action.
• Have a history of effective collaboration with product management, marketing, and engineering teams to integrate analytics into the product development lifecycle.
• Possess a solid understanding of longitudinal user behavior analysis, identifying patterns that reveal sustainable retention drivers over extended periods.
• Show experience using AI tools to enhance analytical workflows, leveraging technology to improve efficiency and output quality.
• Hold a graduate degree in a quantitative discipline such as statistics, computer science, or mathematics, or possess equivalent practical experience.
• You must be legally authorized to work in the United States for this role, as no sponsorship is available.

Nice to have

• Familiarity with Python for data analysis, including using libraries to manipulate data and create visualizations.

Practical notes

• This position is not eligible for relocation assistance.
• The role requires occasional in-office presence for collaboration, approximately 1 to 2 times every 6 months, allowing for remote work from anywhere within the United States.
• Base salary range: $145,747 - $300,067 USD. The position is also eligible for equity.
• Pinterest is an equal opportunity employer.