Senior Product Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst based in United States.

This is a high-impact senior individual contributor role within a data-driven product organization.

You will own analytics for Wishlists and Celebrations, helping shape experiences that extend customer engagement beyond the newborn phase.

The role combines product analytics, experimentation, instrumentation, and business analysis across a multi-sided ecosystem of users and partners.

You will build KPI frameworks and measurement strategies for evolving product surfaces, often starting from the ground up.

Your insights will directly influence product priorities, experimentation roadmaps, retention strategies, and long-term business value.

You will also help advance AI-assisted analytics practices and raise the analytical standards across the broader Data organization.

This is an opportunity for an experienced analyst to operate with significant autonomy, strategic influence, and end-to-end ownership.

Accountabilities

• Own end-to-end analytics for Wishlists and Celebrations, including occasion-based gifting, event pages, and host and guest journeys.
• Define success metrics for emerging product surfaces by building, maintaining, and evolving KPI trees and comprehensive measurement frameworks.
• Lead instrumentation efforts by auditing existing tracking, identifying data gaps, and partnering with engineering teams to establish reliable event and clickstream data.
• Design, execute, and analyze experiments that improve list creation, guest participation, repeat engagement, and overall product effectiveness.
• Analyze the behaviors and needs of registrants, hosts, gift givers, and partners, translating complex multi-sided user journeys into actionable insights.
• Quantify how occasion-based experiences contribute to retention, repeat engagement, and long-term customer value.
• Build and maintain dashboards, reporting frameworks, and AI-assisted analytical artifacts that provide clear visibility into product and business performance.
• Use AI tools throughout the analytical workflow to accelerate analysis, improve code quality, automate repetitive work, and increase individual productivity.
• Partner closely with product, engineering, and cross-functional stakeholders to influence product strategy and guide decisions through rigorous analysis.
• Conduct program and business analysis when needed, adapting analytical approaches to evaluate broader initiatives and their financial or operational impact.
• Lead win/loss and retrospective analyses where relevant to identify trends, opportunities, and areas for improvement.
• Contribute to data organization initiatives, analytical best practices, and the development of AI-assisted analytics capabilities.

Requirements

• 6+ years of relevant experience in product analytics or a closely related analytical discipline.
• Mastery-level SQL skills with experience querying and analyzing large-scale datasets containing millions to billions of rows.
• Strong expertise in event instrumentation, clickstream data, tracking architecture, event auditing, and KPI development.
• Extensive hands-on experience with experimentation, including statistical testing, experimental design, A/B testing, and interpreting ambiguous or imperfect results.
• Demonstrated ability to connect user behavior and product performance with broader business outcomes, retention, and lifetime value.
• Experience using AI tools such as Claude, Cursor, Devin, or similar technologies as an established part of an analytical workflow.
• Strong understanding of both product analytics and program or business analytics, with the ability to adapt methodologies to different business questions.
• Experience with modern experimentation and product analytics platforms such as LaunchDarkly and Amplitude, as well as data modeling and visualization tools such as dbt, Hex, or Sigma.
• Strong analytical judgment and prioritization skills, with the ability to focus on opportunities that have the greatest potential business and customer impact.
• Comfortable working independently in ambiguous environments where priorities and scope may evolve.
• Excellent communication and stakeholder management skills, with the ability to translate complex analysis into clear recommendations for product and business leaders.
• A curious, self-directed mindset and genuine enthusiasm for applying emerging AI capabilities to analytical work.

Benefits

• Competitive compensation aligned with experience, skills, education, and location.
• Meaningful opportunities for career growth and performance-based advancement.
• Company-paid medical, dental, and vision insurance.
• Retirement savings plan with company matching.
• Flexible spending accounts.
• Generous paid parental leave and paid time off.
• Winter Wonder Week, providing a company-wide paid week off at the end of the year.
• Remote work stipend to support a productive home office.
• Additional benefits and perks supporting physical, mental, and emotional wellbeing, parenting, childcare, and financial planning.
• Access to AI tools such as Claude and ChatGPT to support day-to-day work and increase productivity.
• Remote-first working environment with opportunities to connect with colleagues in person during company gatherings.