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Data Analyst

Posted 3 days agoViewed

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💎 Seniority level: Middle, 3-5 years

🔍 Industry: Insurance

🏢 Company: Reserv👥 101-250💰 $20,000,000 Series A over 1 year agoConsultingFinancial ServicesInsurance

⏳ Experience: 3-5 years

Requirements:
  • 3-5 years of experience in a data science or analytics role, preferably within the insurance and/or claims space, with experience working independently / in a small team.
  • A proven ability to interface with high value customers and communicate with both technical and non technical audiences alike
  • Have a proven track record of shipping high quality data analysis at a high cadence.
  • A passion for building intuitive technology and a thirst for learning
  • Able to think through customer requirements and prioritize what is a must-have, nice-to-have, or irrelevant
  • Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency
Responsibilities:
  • Work with our data stack: Python (Pandas to NLTK), Postgres, Looker, ECS, Docker etc.
  • Serve as a technical liaison between Reserv and our largest customers
  • Ship reporting code that solve for our customers needs
  • Dive into and find improvements to our operational processes with the view to improving both the claimant experience and the economics of claims handling
  • Communicate ideas and specifications through detailed, precise writing
  • Influence the culture, values, and processes of a growing engineering team
  • Enjoy and have fun being creative and thinking outside of the box. You will need to draw on analogous situations you’ve worked on before, but we are not traversing well-traveled roads. “Where we’re going, we don’t need roads!”
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