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About the Team: Finance’s mission is to help support Shopify’s growth over the long-term and ensure we achieve our objective of making commerce better for everyone. We are trusted advisors and growth partners to the business, always striving to learn, provide insights, solve complex problems and contribute positive impact. Finance plays an important role at the strategic planning table and helps influence the future direction of Shopify. We’re currently looking for a Lead Financial Analyst to join our Infrastructure Finance team, focusing on financial management of Shopify’s AI infrastructure. The role involves partnering with R&D, Data, and Product teams to understand business requirements for financial planning, investment decisions, business case analysis, and storytelling to a broader Shopify and senior management audience. Identifying and supporting optimization and efficiency opportunities will also be part of this analytical role.
Job Responsibility:
Working with the business to gain a deep understanding of Shopify’s AI priorities, investment requirements, and value
Being a strategic partner across R&D and Product providing financial support to decision-making and reporting outcomes
Supporting forecasting and reporting cycles
Gathering information from business partners to inform financial plans, developing actionable management reporting including dashboards and KPIs, and overseeing monthly variance analysis and operating reviews to track business success
Identifying and tracking cost drivers and outcomes–unit economics, value-oriented spend management
Assessing risks and opportunities across the investment space and raising to decision-makers through strong communication skills
Building robust financial models that drive business decisions
Staying updated on emerging AI technologies, and identifying opportunities to automate repetitive manual tasks using tools like SQL, Python and AI to improve FP&A workflows
Requirements:
Proven track record of driving significant impact in complex and ambiguous business situations
R&D finance background working with engineering teams on general FP&A activities
Familiarity with cloud infrastructure and AI chips, models, and APIs
Strong communication skills–ability to distill complex, technical topics into concise, understandable terms
Significant experience in financial modeling and strategic business planning
Strong understanding of SQL and Python, with the ability to write complex queries, perform data extraction and manipulation, and maintain data integrity
Genuine enthusiasm for AI, tinkering with new tools, and exploring innovative solutions, and an excellent ability to mentor and teach the same
A growth mindset, a builder’s mentality and a proven history of effective execution
The ability to thrive in a fast-moving, ambiguous work environment and to navigate through change
Track record of strong performance in data science, management consulting, investment banking, FP&A, or a related field
Experience in tech, fintech or other SaaS-based business models
Demonstrated experience transforming or automating FP&A processes