The Personal Lines Modeling Data Solutions (MDS) team is actively searching for a new member to join our team as a technical expert in support of data initiatives within Product Design & Modeling (PDM).

The MDS teams works closely with modeling and delivery stakeholders to curate and deliver comprehensive data solutions that support sophisticated model development and the successful calibration and launch into market of high-quality home and auto personal insurance products.

As a member of the MDS team, analysts will contribute towards process and query enhancements within existing and emerging platforms, support and maintain operational data production, as well as collaborate within the team and with our technology and data partners to design and implement modern solutions leveraging cloud-based tooling to increase speed, efficiency, and accuracy of essential data products.

Responsibilities will include:

• Working both autonomously and collaboratively design, prototype, develop, and scale data solutions of moderate to high complexity to meet the needs of business customers and progress organization initiatives.
• Lead routine production and validation of data deliverables, overseeing stakeholder engagement, prioritization and planning, and communication. Continuously seek improvement and enhancement opportunities within existing processes.
• Leverage agile techniques to gather and distill requirements, accurately scope work efforts, and drive successful development and testing of data products and processes. Proactively identify project risks and propose solution-oriented strategies.
• Ability to think critically, analyze data, accurately diagnose data issues, and articulate impacts to varying audiences.
• Eagerness to continuously learn and test new technologies and programming languages, adapt and deliver in a dynamic environment, and inspire and influence change through collaboration.

Ideal candidate will have: 

• Experience coding with SQL, SAS, or Python preferred. Additional experience with AWS, Spark, or Snowflake strongly preferred.
• In-depth knowledge of data concepts, strategies, and methodologies for manipulating and curating structured and unstructured data preferred.
• Familiarity with database design and data warehousing in an enterprise environment helpful.
• Prior knowledge of insurance business operations helpful.

Job Specifications:

Reference: 2023-54831
Category: Analytics
Primary Location: Remote
Additional Locations: Chicago, IL; Boston, MA; Portsmouth, NH; Seattle, WA;
Schedule: Full-Time

Salary: USD-$91,300.00-–-$146,700.00-/-Year
Education Level:
Travel: As Needed