About this role
You will take on the following responsibilities:
- Lead high-impact, non-routine analyses to enable leadership to make high-quality decisions.
- Build financial and operational models – projections, scenario evaluations, and cost-benefit cases – and develop clear, defensible recommendations from them.
- Author decision materials for senior executives, translating sophisticated quantitative findings into a narrative that lands.
- Identify and size efficiency and cost savings opportunities, then partner with Engineering to complete them and supervise results.
- Build the datasets, metrics, and dashboards that make these analyses repeatable and link the impact of technology efforts to business outcomes.
- Design the frameworks and processes through which Engineering allocates and supervises its resources, and own the recurring reviews and reporting on our annual plan.
- Drive alignment across functions – Engineering, Product, Modeling, Finance, and Corporate – to collaborate, surface the right questions, bring partners along, and carry recommendations through to action.
You should possess the following qualifications:
- BS degree in a quantitative or technical field such as Economics, Finance, Engineering, Computer Science, Math, or Statistics.
- Minimum 1 year of experience, 3–7 years of experience preferred in business analytics, management consulting, corporate strategy, corporate finance, technical program management, or a comparable role.
- Strong analytical and financial modeling skills – you've built forecasts, scenario analyses, and business cases from large and imperfect datasets, and you know which assumptions matter.
- Experience building for executive audiences – you've structured and written presentations for senior leaders and influenced consequential decisions with them.
- Excellent communication skills – written, verbal, and visual – with a talent for translating sophisticated technical and financial detail into clear, business-friendly language.
- A collaborative working style – you build trust with colleagues across the firm, ask good questions, and get inputs you need without formal authority.
- Strong planning and project management skills, with the ability to organize and deliver several concurrent, cross-functional workstreams with explicit timelines.
- Comfort with ambiguity – you can take an open-ended question, structure it, and make progress without waiting for detailed information.
- Familiarity with technology or infrastructure economics is a plus, as is experience using GenAI tools to accelerate your own work.