Engine - Director, Business Analytics

• Experience: 10+ years in business analytics, data analytics, or a related analytical function, with deep experience supporting commercial functions — Marketing, Sales, Finance, or Revenue Operations. • Leadership Depth: 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. • Leadership Depth: • Executive Presence: 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. • Executive Presence: • Business Judgment: 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. • Business Judgment: • Technical Fluency: 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). • Technical Fluency: • Operating Model Builder: Experience building scalable analytics processes, prioritization systems, reporting standards, and metric governance frameworks across multiple business domains simultaneously. • Operating Model Builder: • Domain Expertise: Deep familiarity with the metrics that drive commercial performance — CAC, LTV, pipeline conversion, quota attainment, revenue retention, unit economics, attribution, and more. • Domain Expertise: • Environment Fit: Experience driving analytics in a high-growth, product-led environment — B2B SaaS, fintech, marketplace, travel, e-commerce, or a similarly complex, fast-moving business. • Environment Fit: • Preferred • Preferred • 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. • CompensationOur 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.