Manager, Data Analytics

Engine

2d • Hybrid

About The Position

Engine is transforming business travel by creating a personalized, rewarding, and simple experience. They are building a platform that integrates corporate travel, a charge card, and modern spend management. Engine is seeking mission-driven individuals to redefine how businesses manage and experience travel. Over 20,000 companies and 1 million travelers rely on Engine, which is cash flow positive and experiencing rapid growth. They offer exclusive rates, industry-leading rewards, and intelligent automation. Engine is backed by Telescope Partners, Blackstone, and Permira, and has been recognized as a fast-growing travel and fintech platform.

This role is for a Data Analytics Manager to join the Data organization, overseeing analytics for the Pricing & Supply teams. This is a strategic part of the business focused on competitive pricing, marketplace coverage, supplier performance, and customer experience. The ideal candidate will enjoy working closely with the business, developing analysts, and translating complex questions into clear insights and better decisions. While a background in pricing or supply is not required, enthusiasm for working on problems central to growth, margin, inventory, conversion, and customer value is essential. The Data Analytics Manager will help shape how analytics supports a rapidly growing travel technology company.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• Check out our full list at engine.com/culture.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed