From the listing
About the role
This is a problem-solving role, not a reporting role. You will start as a pure individual contributor and own your work end-to-end, with a path to team leadership responsibilities over time.
What you'll do
- Model cost-saving opportunities, build scenario analyses, and deliver recommendations on profitability levers directly to the CPO, CTO, and finance leadership.
- Take ambiguous, high-stakes business questions from senior stakeholders, structure them, build the analysis, and enter executive conversations with a clear point of view.
- Partner closely with data engineering, finance, and product teams to understand cost drivers, surface insights, and influence roadmap and investment decisions.
- Navigate messy, complex data environments, establish ground truth, build reliable datasets, and create durable analytical frameworks the broader team can build on.
- Contribute to the operational rigor of the SA team through documentation, version control practices, and analytical best practices.
- Operate with minimal supervision, own your domain, manage your priorities, and push work forward.
What they're looking for
- 7+ years of experience in analytics, strategic finance, or a closely related field, with demonstrated depth in financial/operational modeling.
- Expert-level SQL: write complex queries independently and fluently.
- Deep understanding of unit economics: gross margin, contribution margin, COGS structures, cost drivers, and scenario modeling.
- Proven ability to independently frame and decompose ambiguous business problems.
- Strong executive communication skills, with experience presenting analytical findings and a clear POV directly to VP or C-suite stakeholders.
- High autonomy and self-sufficiency in fast-moving environments where context is incomplete and priorities shift.
- Experience working in messy data environments, establishing definitions, validating data quality, and building from the ground up.
- Must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations.
Nice to have
- Experience with hardware + software combination products, such as IoT, fleet technology, or consumer electronics, and how COGS behaves differently from pure SaaS.
- Python for analysis and automation.
- Hands-on experience with a modern analytics stack, such as dbt, Airflow, or equivalent, and opinions about how analytics teams should operate.
- Background in strategic finance, FP&A, or management consulting with a strong technical layer.
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Benefits
Work from anywhereComprehensive benefitsWorkspace stipendRetirementPaid holidaysPaid parental leave