About Engine
Engine is the all-in-one travel and spend management platform trusted by 38K+ businesses and groups and 1.2M+ travelers. We're the retailer and the rails of business travel, the fastest-growing company in travel tech, built on a decade of proprietary technology, supply, and pricing no one else can replicate. Other travel and AI companies run on our infrastructure to book real trips, hold rates, and move payments, without building any of it themselves. We built it, AI-forward at every layer, from how travelers book to how the rails run.
That work has earned recognition as one of Fast Company's Best Workplaces for Innovators (2025), TravelTech's Reservation Platform of the Year (2026), and one of Built In's Best Places to Work (2020–2026).
We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.
Come outpace the ordinary and build the future of travel with us.
Your Mission
We are looking for a Data Analytics Manager to join our Data organization. This leader will oversee analytics for our Pricing & Supply teams, a highly strategic part of the business responsible for helping Engine deliver competitive pricing, strong marketplace coverage, better supplier performance, and an exceptional customer experience.
This is a high-impact leadership role for someone who enjoys operating close to the business, developing strong analysts, and turning complex marketplace and commercial questions into clear insights, scalable analytics, and better decisions. You do not need to come from a pricing or supply background, but you should be excited by the opportunity to work on problems that sit at the center of growth, margin, inventory, conversion, and customer value.
As part of Engine’s Data team, you will help shape how analytics supports a fast-growing travel technology company at scale.
What You’ll Do
- 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.
What You’ll Bring to Engine
Required
- 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
- 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.
We accept applications for this role on an ongoing basis. We review applications as they are received and encourage interested candidates to apply early.
Compensation
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). Your recruiter will share your complete compensation package as you move through the process.
Base Pay Range
$144,500—$200,000 USD
The Engine Edge: Perks & Compensation
We believe in rewarding great work with great benefits:
- 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 in terms of the environments that drive success which is why 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.
Perks and benefits may vary based on employment type, location, and more.
Ready to Build the Future of Work Travel?
Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.
