Data Analyst

Join our team as a Data Analyst, where you'll take ownership of data products that help top investors understand company performance, market trends, and competitive dynamics. You'll work closely with cross-functional partners and have the opportunity to improve products and processes. Enjoy flexible work hours, generous benefits, and the chance to tackle complex analytical problems.

• Assumer la responsabilité de l'ensemble des produits de données, en veillant à leur précision, en améliorant les méthodologies et en fournissant des informations fiables aux clients.
• Travailler avec de grandes quantités de données pour répondre aux questions clés de nos clients concernant les entreprises et les ensembles de données que nous analysons.
• Collaborer de manière transversale avec les équipes de recherche, d'ingénierie et d'autres équipes pour coordonner les efforts, aligner les meilleures pratiques et développer des solutions.
• This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters
• You actively use AI tools and are excited about using AI to drive leverage — not just productivity, but fundamentally better and faster ways of working
• You have a track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
• You have strong fluency in SQL, with experience using Python or PySpark as a plus — particularly for building reusable analysis workflows or automations
• You can communicate complex concepts clearly — including methodology, risks, and tradeoffs — both in writing and in conversation with technical and non-technical stakeholders
• You have tackled complex analytical problems and taken ownership beyond your immediate scope — you don't wait to be told what matters, you figure it out and drive it forward
• You have 3-5+ years of experience in data analytics, with a background in fields like financial services, management consulting, data science, or high-growth technology — or another environment where you worked with complex data to inform real decisions