Sr. Data Analyst - Transport

Reserv is an insurtech company developing AI and automation technology for insurance claims. The Senior Data Analyst will work with customers to deliver data and insights, lead technical analysis, and improve reporting and data models in collaboration with engineering and operations teams.

Responsibilities:

• Work with our data stack: Python (Pandas to NLTK), Postgres/dbt, Looker, Excel, etc
• Lead client calls through technical analysis to provide recommendations and insights
• Ship reporting code and improve our data modeling layer to solve for our customers' needs
• Work on problems that don’t have a clearly defined answer, often helping define the “right” solution
• 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!”

Requirements:

• Candidates must reside in an eligible U.S. state throughout employment
• For this role, we are seeking data analysts with strong Python, SQL, and Excel skills
• You should be curious about how claims work and how our systems process them
• You'll also need the ability to interface with customers from both technical and non-technical backgrounds, and to work independently while collaborating closely with our engineering and operations teams
• 6-8 years of experience as an individual contributor with experience using modern analytics and programming languages—we're in Python and dbt/Postgres every day
• A proven ability to interface with high-value customers and communicate with both technical and non-technical audiences alike
• Have a strong demonstrated toolkit to build ETLs and net new data visualizations/reports
• 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