Director, Business Analytics

Engine is a rapidly growing company focused on transforming business travel into a personalized and efficient experience. They are seeking a Director of Business Analytics to lead a high-performing analytics organization that supports their Growth, Sales, and Finance teams, driving revenue and strategic decision-making through data-driven insights.

Responsibilities:

• Own the analytics vision and roadmap for Marketing, Sales, and Finance. Define how the team measures what matters, connects analytical work to business outcomes, and drives decisions
• Lead, grow, and develop a team of 15+. This role will set a high bar for analytical quality, business partnership, and career development. Build a deep leadership pipeline and develop the next generation of analytical leaders at Engine
• Serve as the primary analytics partner to Engine’s commercial and financial leadership. Translate complex data into clear, confident perspectives that influence strategy, investment decisions, and quarterly priorities
• Partner with Growth leadership to build the analytical foundation for customer acquisition, attribution, channel performance, lifecycle value, campaign ROI, and growth experimentation. Help the team understand what drives customers to Engine and what keeps them
• Equip the revenue organization with the insights it needs to perform — pipeline health, forecast accuracy, rep performance, win/loss analysis, territory optimization, and incentive design
• Partner with Finance to power revenue reporting, unit economics, cohort analysis, budgeting support, and the company-level metrics that drive executive and board-level decision-making
• Build and continuously improve a best-in-class analytics operating model — including prioritization, stakeholder management, metric governance, reusable frameworks, quality standards, and a culture of rigorous, accountable work. Define what excellent analytics looks like at Engine
• Elevate the craft across the team — metric definition, data storytelling, root-cause analysis, experimentation, forecasting, and causal inference. Develop analysts into strong business partners who influence decisions, communicate with clarity, and operate with ownership
• Identify gaps in the underlying data and partner with Data Engineering and Analytics Engineering to build the instrumentation, data models, and self-service capabilities the business needs to operate and grow with confidence

Requirements:

• 10+ years in business analytics, data analytics, or a related analytical function, with deep experience supporting commercial functions — Marketing, Sales, Finance, or Revenue Operations
• 5+ years managing analytics teams, including proven experience managing managers and leading multi-team organizations. A strong track record of hiring, developing, and retaining high-performing analytical talent
• Demonstrated experience as a strategic analytics partner to CROs, CMOs, CFOs, or comparable senior leaders. Ability to synthesize complexity into clear, confident recommendations that drive action
• Strong ability to connect analytics work to revenue growth, customer value, operational efficiency, and strategic priorities. You understand the commercial levers of a high-growth business, not just the data
• Strong SQL skills and comfort working with large, complex datasets. Fluency with BI tools (Looker, Tableau, Power BI, or similar) and modern data stacks (Snowflake, dbt, or similar)
• Experience building scalable analytics processes, prioritization systems, reporting standards, and metric governance frameworks across multiple business domains simultaneously
• Deep familiarity with the metrics that drive commercial performance — CAC, LTV, pipeline conversion, quota attainment, revenue retention, unit economics, attribution, and more
• Experience driving analytics in a high-growth, product-led environment — B2B SaaS, fintech, marketplace, travel, e-commerce, or a similarly complex, fast-moving business
• Experience building analytics functions, centers of excellence, or team playbooks in a scaling company
• Exposure to marketing attribution, multi-touch modeling, or growth experimentation at scale
• Experience with FP&A-adjacent work, including revenue forecasting, cohort analysis, or board reporting support
• Familiarity with commercial data sources such as Salesforce, Amplitude, Marketo, HubSpot, Gong, or Attention
• Experience with A/B testing, causal inference, segmentation, or advanced analytical methods at scale
• Background in travel, hospitality, marketplace, or high-transaction-volume businesses