Manager, Product Analytics

Key responsibilities

• Lead, coach, and develop a team of approximately five analysts supporting Pricing, Supply, and Content teams.
• Partner with product and business leaders to shape roadmaps and identify opportunities for improvement.
• Oversee experimentation programs, including A/B testing, test design, sample sizing, success metrics, and results analysis.
• Apply causal inference approaches, including holdout tests, quasi-experiments, difference-in-differences, and matching when appropriate.
• Analyze pricing strategies, customer demand, conversion rates, supplier performance, margins, and customer segments.
• Evaluate and improve pricing models used to develop Engine's exclusive rates.
• Establish standards for statistical accuracy, metric definitions, data quality, and reporting.
• Communicate findings to stakeholders and recommend actions based on reliable evidence.
• Collaborate with Data Engineering and Analytics Engineering to improve reporting infrastructure and self-service tools.
• Encourage responsible use of AI tools, including checking the accuracy of AI-generated work.

Required qualifications

• At least 7 years of experience in product analytics, product data science, or a closely related role working with product and engineering teams.
• At least 3 years of experience managing and developing analysts or data scientists.
• Demonstrated experience hiring, developing, and retaining strong analytics talent.
• Advanced experience designing, conducting, and interpreting large-scale A/B tests.
• Working knowledge of causal inference methods for situations where traditional randomized experiments aren't practical.
• Strong statistical knowledge, including regression, hypothesis testing, and variance reduction techniques.
• Ability to evaluate predictive or pricing models and challenge assumptions.
• Expert-level SQL skills working with large, complex datasets.
• Proficiency in Python or R for analysis and statistical modeling.
• Experience using analytics findings to influence product roadmaps, launches, or pricing decisions.
• Strong communication skills and the ability to influence technical and nontechnical senior stakeholders.

Preferred qualifications

• Experience with pricing, revenue management, marketplaces, inventory, or supply operations.
• Experience with demand forecasting, price elasticity, or optimization projects.
• Experience conducting B2B experiments involving smaller samples or account-level randomization.
• Experience building analytics or experimentation functions, including metrics, telemetry, and testing infrastructure.
• Familiarity with Snowflake, dbt, Looker, Hex, or experimentation platforms.
• Experience in travel, hospitality, fintech, or another high-transaction industry.

Degree and experience

Degree

Not stated

Experience

Senior level

Location and eligibility

Eligible:

United States

Exclusions:

None stated

Work arrangement:

Remote

Remote does not always mean worldwide. Only the locations listed here were confirmed with the employer.

Visa sponsorship

The employer states sponsorship is not available for this role.

Listing details

Published:

Nov 11, 2026

Last manually checked:

Nov 11, 2026

Official source:

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