Manager, Product Analytics

Engine; Denver (CO); On-site; USD 144,500 - 200,000; Full time

Benefits offered by this job

Bonuses

Equity options

Flexible working environments

Job summary

Engine, a rapidly growing travel and fintech company, is looking for a Data Analytics Manager in Denver, Colorado. The role involves leading a team of data analysts, ensuring high-quality analytics services for Pricing and Supply initiatives. Candidates should have over 7 years of relevant experience, strong SQL skills, and a proven ability to influence business decisions. Competitive salary ranging from $144,500 to $200,000, plus additional benefits and perks, are included in the compensation package.

Qualifications

• 7+ years of experience in data analytics, business analytics, or related fields.
• 3+ years managing and developing analytics teams.
• Strong SQL skills for complex datasets.

Responsibilities

• Lead and develop a team of 8 data analysts.
• Define analytical priorities and drive business impact.
• Translate business questions into analytical plans.

Skills

Data analytics

Management

SQL

Business judgment

Tools

dbt

Snowflake

Looker

Tableau

Power BI

Job description

Job Overview

At Engine, we're transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we're here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That's why we're building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.

To make this vision real, we're looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel.

More than 20,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience.

Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In's Best Places to Work.

We are looking for a Data Analytics Manager to join our Data organization. This leader will oversee analytics for our Pricing & Supply teams.

Responsibilities

• Lead, coach, and develop a team of approximately 8 data analysts supporting Pricing & Supply initiatives.
• Partner closely with leaders across Pricing, Supply, Product and Data to define analytical priorities and drive measurable business impact.
• Build a strong analytics operating model, including prioritization, stakeholder management, quality standards, reusable reporting, and scalable insight generation.
• Translate ambiguous business questions into clear analytical plans, decision frameworks, dashboards, experiments, and recommendations.
• Help the business better understand pricing performance, supplier coverage, marketplace dynamics, conversion, margin, customer behavior, and operational levers.
• Raise the bar for analytical rigor across the team, including metric definition, data storytelling, root-cause analysis, experimentation, and forecasting.
• Develop analysts into stronger business partners who can influence decisions, communicate clearly, and operate with ownership.
• Identify opportunities to improve the data foundation, partnering with data engineering and analytics engineering teams to improve tooling, data models, and self-service capabilities.

Required Qualifications

• 7+ years of experience in data analytics, business analytics, data science, or a related analytical function.
• 3+ years of experience managing, mentoring, and developing analysts or analytics teams.
• Strong SQL skills and comfort working with large, complex datasets.
• Experience using data to influence business decisions in a high-growth, product-led, marketplace, e-commerce, SaaS, travel, fintech, logistics, or similarly complex operating environment.
• Strong business judgment, with the ability to connect analytics work to revenue, margin, customer experience, operational efficiency, or strategic priorities.
• Experience building scalable analytics processes, dashboards, reporting standards, and prioritization systems.
• Clear communication skills with the ability to influence both technical and non-technical stakeholders.
• A strong track record of hiring, developing, and retaining high-performing analytical talent.

Preferred Qualifications

• Experience supporting pricing, supply, marketplace, revenue management, inventory, procurement, or commercial strategy teams.
• Experience with modern data tools such as dbt, Snowflake, Databricks, Airflow, Looker, Tableau, Power BI, or similar platforms.
• Exposure to experimentation, A/B testing, forecasting, segmentation, causal analysis, or advanced analytics methods.
• Experience building analytics functions, centers of excellence, or team operating models in a scaling company.
• Experience in travel, hospitality, marketplace, B2B SaaS, or high-transaction-volume businesses.

Compensation

Base Pay Range: $144,500—$200,000 USD.

Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE).

Benefits & Perks

• Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• Benefits: Check out our full list at engine.com/culture.
• Environments for Success: Different roles have different needs ... we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you need to succeed.

We accept applications for this role on an ongoing basis. We review applications as they are received and encourage interested candidates to apply early.

Perks and benefits may vary based on employment type, location, and more.