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Senior Analyst, Strategic Analytics

129k – 185kUnited StatesData AnalyticsRemote7+ YOE
Summary

Own end-to-end COGS and gross margin analysis for hardware/software products. Build financial models, structure ambiguous business questions, and present recommendations directly to CPO, CTO, and finance leadership. Requires 7+ years experience, expert SQL, and strong unit economics expertise.

About the role

Responsibilities

  • Own end-to-end COGS and gross margin analysis for hardware and software product lines (vehicle gateways, dashcams, software products)
  • Model cost-saving opportunities, build scenario analyses, and deliver recommendations on profitability levers to CPO, CTO, and finance leadership
  • Structure ambiguous, high-stakes business questions from senior stakeholders, build analysis, and present clear points of view in executive conversations
  • Partner with data engineering, finance, and product teams to understand cost drivers, surface insights, and influence roadmap and investment decisions
  • Navigate messy data environments: establish ground truth, build reliable datasets, and create durable analytical frameworks
  • Contribute to operational rigor: documentation, version control practices, and analytical best practices
  • Operate with high autonomy: own domain, manage priorities, and push work forward independently

Requirements

  • 7+ years of experience in analytics, strategic finance, or 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 — presented analytical findings and clear POV directly to VP or C-suite stakeholders
  • High autonomy and self-sufficiency in fast-moving environments with incomplete context and shifting priorities
  • Experience working in messy data environments: establish definitions, validate data quality, and build from the ground up

Nice-to-Haves

  • Experience with hardware + software combination products (IoT, fleet technology, consumer electronics) and how COGS behaves differently from pure SaaS
  • Python for analysis and automation
  • Hands-on experience with modern analytics stack (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
Skills
SQLPythondbtAirflowfinancial modelingunit economicsCOGS analysisgross margin analysisscenario modelingexecutive communication
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