Manager, Product Analytics

Engine is an all-in-one travel and spend management platform serving businesses and travelers. The Data Analytics Manager will lead analytics for the Pricing & Supply teams, developing analysts and translating complex marketplace and commercial questions into insights, scalable analytics, and business decisions.

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

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
• 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