The FP&A team at Zoox drives financial analysis of key strategic investments, maintains short and long term financial models, and develops reporting for both internal and external stakeholders.
As a Senior Financial Analyst supporting Marketing and Commercial, you will partner with key stakeholders across Marketing, Commercial Market Management, Product, Data Science, and Accounting. Together you will manage planning, forecasting, and performance reporting for Zoox’s marketing and customer promotions investments. You will own the financial models that connect campaigns, discounts, and rider incentives to rider growth, gross bookings, and profitability as Zoox launches its Robotaxi service in new markets.
This will require a deep understanding of Zoox’s rider funnel and ridehail economics. It will also require strong working relationships with leaders and individual contributors across multiple departments, and the use of enterprise systems and tools to build robust financial models and dashboards. The goal for this role is to ensure every marketing and promotional dollar is invested with discipline, through timely and actionable financial insights.
Own and maintain long-range, annual, and monthly forecasts for marketing and customer promotions spend, and manage close activities for your business partners, including accruals and variance analysis.
Partner with Marketing teams to develop driver-based models and ROI frameworks that measure the return on marketing and promotions across rider acquisition, activation, engagement, and retention (e.g., CAC, LTV, payback, incrementality).
Partner with Central Market Management and Data Science to size, monitor, and read out pricing and promotional experiments, and translate the results into gross bookings, contribution margin, and P&L impact.
Integrate rider funnel and promotion drivers into Zoox’s revenue and city-level models to inform market launch plans and spend allocation across geographies and channels.
Analyze large datasets from Anaplan, SAP S4, Databricks, and other internal systems to build recurring reporting and dashboards that give Finance and Commercial leadership decision-ready insights.
BA/BS degree, preferably in Finance, Economics, Accounting, Data Science, or a quantitative field
6+ years experience in FP&A, marketing finance, commercial or strategic finance, or a similarly analytical role such as consulting
2+ years of direct experience building driver-based models, ROI or unit-economics analyses (e.g., CAC, LTV, promo efficiency), and dashboards
Proficiency in SQL and advanced Excel/Sheets, plus experience with planning and reporting tools (Anaplan, Looker, Tableau, etc.)
Experience partnering with non-finance teams such as Marketing, Growth, or Product and presenting recommendations to senior leadership
Experience supporting marketing, promotions, or rider incentives in the TNC, transportation, marketplace, or other mobility industries
Familiarity with marketing measurement methods such as A/B testing, incrementality testing, or marketing mix modeling
Experience with data visualization tools (eg. Looker, Tableau) and/or advanced analytics tooling (eg. Python, R, Databricks).
Own finance transformation projects that modernize FP&A by automating workflows, building AI-enabled tools, and redesigning planning, forecasting, and cost management to improve operational efficiency and business insight.
Lead R&D budgeting, forecasting, and strategic investment analysis while improving corporate reporting and consolidation to help leaders make informed decisions about growth, products, and resource allocation.
Support corporate development and senior management through financial analysis, SaaS and ARR reporting, dashboards, forecasting, and evaluation of acquisition targets and strategic opportunities.
Lead financial planning, forecasting, performance analysis, and strategic decision support for Fandango, translating complex data into insights that guide business leaders across domestic and international operations.
Partner with R&D and engineering leaders to analyze costs, manage headcount and software and AI spend, strengthen financial reporting and forecasts, and support planning and month-end close.
