Solve analytical problems quickly and accurately
Use Excel, Python, and SQL to meet real‑time business needs
Own execution from vague question to clear, actionable output
Transform one-off analyses into reusable reporting and analytics assets
Help shape the evolution of a broader analytics and information platform
Treat analytics as a product that must scale, adapt, and improve continuously
Act as a trusted, client-facing analytics partner across the business
Build durable relationships through clarity, approachability, and follow-through
Proactively identify opportunities where analytics can drive better decisions
Collaborate effectively with data scientists and technical teams
Communicate fluently about analytical methods and implications
Apply architectural thinking without needing to formally own platform engineering

Experienced analytics professional with senior or principal-level ownership
Able to operate independently with limited direction
Comfortable designing analytical reports, including decisions around data visualization, information architecture, and user needs
Demonstrated problem framing and decision-making
Experience with marketing or healthcare data a plus
Strong analytics or analytics engineering background
Proficiency in a programming language (Python, R, or any professional language) as well as strong SQL and Excel skills when needed
Comfortable determining which tools allow for rapid delivery and quick, accurate turnarounds
Solid mathematical and analytical grounding
Comfort incorporating AI-assisted coding tools into workflow
Experience with front-end development a plus, especially React or similar frameworks
Experience with front-end graphing packages such as Chart.js and Recharts a plus
Friendly, credible, with client-facing experience
Clear and confident communicator with technical and non‑technical audiences
Known as a trusted problem solver.

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