Manager, Product Analytics

engine; United States; Hybrid; USD 145,000 - 200,000; Full time

Benefits offered by this job

Equity for all employees

Annual bonus eligibility

Job summary

engine is seeking a Senior Analytics Leader to manage an analytics team supporting Pricing and Supply in a complex travel marketplace. You will lead eight analysts, partner with executives, and design operating models to improve pricing, supplier coverage, and marketplace performance.

You will turn ambiguous business questions into analytical plans, dashboards, experiments, and recommendations, while raising data standards and driving margin and conversion improvements. Hybrid work options apply.

Qualifications

• At least 7 years in data analytics, business analytics, data science, or related analytics.
• At least 3 years managing, mentoring, and developing analysts or analytics teams.
• Strong SQL skills and experience with large, complex datasets.
• Experience influencing decisions in a high-growth, marketplace environment.

Responsibilities

• Lead, coach, and develop approximately eight analysts on Pricing and Supply priorities.
• Partner with Pricing, Supply, Product, and Data leaders to set priorities and link work to outcomes.
• Create scalable processes for intake, prioritization, reporting, and quality standards.
• Translate ambiguous questions into analytical plans, dashboards, and recommendations.
• Demonstrate pricing performance, supplier availability, marketplace dynamics, and margins.
• Raise standards for data storytelling, root-cause analysis, and forecasting.
• Identify data foundation weaknesses and work to improve models and tooling.

Skills

SQL skills

People leadership

Analytics storytelling

Business judgment

Tools

dbt

Snowflake

Databricks

Airflow

Looker

Tableau

Power BI

Job description

Role overview

Manage an analytics team supporting Pricing and Supply functions within a complex travel marketplace. The role combines people leadership, business partnership, analytical rigor, and operating-model design to improve pricing, supplier coverage, marketplace performance, conversion, margin, customer value, and operational decision-making.

Responsibilities

• Lead, coach, and develop approximately eight analysts working on Pricing and Supply priorities.
• Partner with Pricing, Supply, Product, and Data leaders to set priorities and connect analytical work to measurable business outcomes.
• Create scalable processes for intake, prioritization, stakeholder communication, reusable reporting, and quality standards.
• Turn ambiguous commercial questions into analytical plans, dashboards, decision frameworks, experiments, and recommendations.
• Help the business understand pricing performance, supplier availability, marketplace dynamics, conversion, margin, customer behavior, and operational levers.
• Raise standards for metric definition, data storytelling, root-cause analysis, experimentation, and forecasting while improving analyst development.
• Identify weaknesses in data foundations and work with data and analytics engineering teams to improve models, tooling, and self-service capabilities.

Requirements

• At least 7 years in data analytics, business analytics, data science, or a related analytical discipline.
• At least 3 years managing, mentoring, and developing analysts or analytics teams.
• Strong SQL skills and experience working with large, complex datasets.
• Experience influencing decisions in a high-growth, product-led, marketplace, e-commerce, SaaS, travel, fintech, logistics, or similarly complex environment.
• Strong business judgment, with the ability to connect analysis to revenue, margin, customer experience, efficiency, and strategic priorities.
• Experience building dashboards, reporting standards, prioritization systems, and scalable analytics processes.
• Clear communication skills and a record of hiring, developing, and retaining strong analytical talent.

Nice to have

• Experience with pricing, supply, inventory, procurement, revenue management, marketplace, or commercial strategy teams.
• Familiarity with tools such as dbt, Snowflake, Databricks, Airflow, Looker, Tableau, or Power BI.
• Exposure to experimentation, forecasting, segmentation, causal analysis, or advanced analytics.
• Experience building analytics functions or operating models in a scaling company.

Benefits and work setup

• Base pay range of $144,500–$200,000 USD, with equity for all employees and possible annual bonus eligibility.
• Hybrid-hub model, with arrangements varying by role and location; fully remote work may be available for some positions.
• Benefits and perks vary according to employment type and location.