Principal Data Solutions Analyst

98101, Seattle
Jun 10, 2021
Aug 09, 2021
Actuary, IT
Job Type
Not Specified
Career Level
Not Specified

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National Insurance Pricing is looking to diversify the Casualty team to advance the needs of the enterprise by providing, building and maintaining prototype data solutions. This role will work with the actuaries to advance the coding and efficiency of the team and ensure the solutions can be scaled appropriately. In this position, you will own the SAS code underlying rate indications as well as other actuarial analyses, and the initial data preparation for the pricing & predictive models. You will oversee coding best practices across the team, and aid in building up skillsets in R and Python. There is the potential to build out this expertise and aid in converting excel based applications into more functional and deployable code in both R and Python. You will mentor other non-coding experts to help bring them to basic proficiency and improve the efficiency of the team. You will become the subject matter expert in the data flows across National Insurance that support the pricing team and provide thought leadership along with the actuaries, analytics and IT partners. Successful candidates need to collaborate with technology partners to implement new models and influence the most efficient deployment approaches. This position requires a highly organized, self-motivated individual with strong technical as well as verbal and written communication skills. Background in actuarial concepts is a plus.


  • Under minimal direction, prototypes data solutions of high complexity to meet the needs of the NI Pricing organization
  • Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. Also take these proof-of-concepts to full production within pricing, and deployment ready for IT.
  • Act as technical leader and mentor to actuarial group
  • Designs and develops data solutions that enable effective self-service data consumption and can describe their value to the customer.
  • Collaborates with stakeholders in defining metrics that are impactful to the business & prioritizes efforts based on customer value.
  • Has a comprehensive understanding of Agile techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes if applicable.
  • Maintains proof-of-concepts, protype or sustainable solutions, and handles any assessment of their viability and scalability, with partnership from IT. Working with IT and/or actuarial, assists in building robust systems focusing on long-term and ongoing maintenance and support.
  • Ensure data solutions include deliverables required to achieve high quality data to support actuarial analytics.
  • Displays a working understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work.
  • Demonstrates a strong understanding of new technologies as needed to progress initiatives
  • Assist in some analysis to better understand the data and supporting actuarial and business needs.
  • Adapts tools to unfamiliar or unique situations

Note: this is a range posting. The level will be determined based on experience. 

  • Strong written and oral communication skills required
  • Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred
  • Masters in same or related discipline strongly preferred
  • 5-7 years experience in coding and understanding of data management, data warehousing, or other data environments, including but not limited to, working in NoSQL implementation, ETL, scripting languages (SAS, SQL, Python, R) and the Hadoop stack
  • Background in actuarial concepts is a plus

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