Business Intelligence and Research Manager

CapeNew York, NY
$150,000 - $185,000

About The Position

Cape is America’s privacy-first mobile carrier, founded in 2022 with the mission to be a force for good in global wireless. The company was built from the ground up to address vulnerabilities in the existing cellular infrastructure that track, monitor, and sell personal data. Cape provides a secure network to consumers, businesses, and government agencies, and is rapidly scaling after closing its Series C in March 2026. The team at Cape are described as relentless builders and innovators operating on a foundation of high trust and high expectations, with a flat structure where collaboration is prioritized over hierarchy. Team members work across organizational lines to solve complex problems and deliver mission-critical results.

Requirements

  • 4+ years of consulting, banking, investing, or business intelligence or market research experience
  • Strong analytical aptitude. Ability to intuitively think about problems in terms of numbers and models, and to quickly execute analyses in Excel or SQL.
  • Comfort with statistical tools and running methodologically sound surveys.
  • Fluency with tools and using AI to work faster and smarter with data, and the judgement to know when the output is right and when it looks off.
  • Ability to present findings and recommendations to a senior leadership audience, fielding challenges and incorporating feedback.
  • Structured and logical thinker with the ability to quickly get up to speed on new industries, products, and challenges.
  • Self-driven and relentlessly proactive.

Nice To Haves

  • Prior experience running brand surveys and creative testing is a plus.

Responsibilities

  • Define and develop business-unit metrics and associated dashboards that quantify the health of our business, potentially implementing and optimizing internal systems to track those metrics.
  • Dig into data, both quantitative and qualitative, to deliver strategic and actionable insights on topics like willingness-to-pay, feature trade-offs, and optimal plans structure and tiering.
  • Build financial models and projections, appropriately benchmarked with well-founded and sourced assumptions, and track progress towards and deviation from goal.
  • Model the ROI of individual investment decisions, sizing the upside, framing the risk, and pressure-testing assumptions.

Benefits

  • top-tier healthcare
  • 401(k) matching
  • a generous vacation policy that our team actually uses to recharge
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