Principal Data Solutions Analyst

About the job

Solve challenging data problems: Investigate complex regulatory data requests, identify relevant data sources, and perform the analysis needed to deliver accurate, complete, and defensible responses. Become a trusted data expert: Develop a deep understanding of our insurance products, underwriting data, and business processes, helping partners navigate complex data questions. Collaborate to deliver results: Work closely with regulatory, compliance, product, underwriting, and technology teams to understand requirements, resolve data challenges, and ensure responses meet business needs. Improve how we work: Identify recurring challenges and opportunities to simplify, standardize, and expedite the process of responding to regulatory requests. Build reusable knowledge: Document data sources, business logic, and prior analyses to make future requests easier to understand and fulfill. Drive visibility and accountability: Develop and maintain reporting that provides senior leadership with visibility into regulatory request status, progress, and emerging challenges, highlighting risks and issues that may require escalation or leadership support. Experience: 5+ years in data analytics or a related data solutions role, including coding for data management, data warehousing, or other data environments. Tooling: Comfortable across the broader data and analytics toolset used for the role (e.g., Snowflake, SAS Viya, SQL, GitHub), with the ability to use AI-assisted tools (e.g., GPT/Copilot/Claude) to improve productivity. Project management: Demonstrated experience leading projects from scoping through delivery and reporting on progress and challenges. Analytical mind: Candidate must be analytical and curious, with the ability to read ambiguous regulatory guidance, ask the right questions, and translate vague instructions into precise data requirements and testable rules. Leadership & autonomy: Proven ability to lead work cross-functionally and influence with limited guidance. AI: experience applying generative AI tools (e.g., Claude, ChatGPT) to data analysis, documentation, or workflow automation. Strong written and oral communication skills required. Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred. Masters in same or related disciplines strongly preferred. 5-7 years' experience using SQL and/or Python for data analysis and reporting in data warehouse or similar data environments; experience with Snowflake and SAS is a plus. 5-7 years of experience in data research and process automation, with strong documentation skills.