Engine - Sr. Data Analyst - Finance
Requirements
• Bachelor’s degree in Data Science, Statistics, Economics, Finance, Operations Research or a related quantitative field. • 5+ years of experience as a Data or Business Analyst, with a proven track record of extracting value from complex datasets, ideally in partnership with Finance or FP&A. • Advanced SQL skills and hands-on experience building data models and pipelines (dbt experience is a plus). • Strong fundamentals in statistics and econometrics, such as regression, hypothesis testing and forecasting. • Hands-on experience using AI tools and automation to speed up analysis and eliminate manual workflows. Python is a strong plus. • Solid financial literacy. You understand P&L structure, budgeting and forecasting, and how the numbers connect. • Excellent communication skills, including the ability to turn complex analyses into crisp narratives for senior leadership. • Experience with Snowflake and Looker is a plus. Familiarity with NetSuite or similar ERPs is a bonus. • An inquisitive mindset and a desire to dig deeper to understand the “why” behind the data.
Responsibilities
• Partner with stakeholders across product, engineering, and design to lead metrics definition, reporting, and analyses. • Lead key analytics projects and derive actionable insights to drive better product and business performance. • Design and build statistical analyses to answer specific business questions and power key product functionalities. • Participate in product and growth experiments. • Build and maintain data pipelines to generate and track relevant product and business metrics. • Collaborate with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning models. • Manage the company’s business intelligence reporting dashboards. • Leverage advanced SQL skills to explore large, complex datasets and uncover key insights related to pricing and business performance. • Independently investigate open-ended business questions; identify patterns, quantify opportunities, and deliver actionable recommendations that inform strategic pricing decisions. • Translate complex and nuanced analytical findings into clear, concise insights for senior leadership, with a strong focus on aligning recommendations with business goals. • Demonstrate ownership and depth in analysis — moving beyond surface-level metrics to uncover the "why" behind performance trends and deliver high-impact insights. • Partner cross-functionally with product, pricing, and engineering teams to scope analytical needs and validate hypotheses with rigorous data-driven approaches.
Benefits
• Be part of a data-driven culture that values innovation and continuous improvement. • Work with cross-functional teams to shape the future of our product and business. • Enjoy opportunities for growth, learning, and meaningful impact across the organization. • If this sounds like your next challenge, we’d love to hear from you! • Applications for this role will be accepted through 12/31/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline • CompensationOur compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process. • $131,500—$154,700 USD • The Engine Edge: Perks & CompensationWe believe in rewarding great work with great benefits: • Compensation: Competitive base pay tied to role and experience, with equity for all employees. Some roles are also eligible for bonuses or commissions. • 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. • Environments for Success: • Perks and benefits may vary based on employment type, location, and more
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