Principal Data Solutions Analyst

The Operational Excellence team in Modeling Data Solutions is looking for a business-focused data professional who excels at connecting technical teams and business stakeholders to drive high-impact pricing and product initiatives across business lines. As part of the US Data Science Infrastructure group, you’ll support development of cutting-edge pricing programs by shaping data requirements, enabling research and development, and providing front-line analytics and project support to bring new products to market.

**This role may have in-office requirements depending on candidate location.**

In this role, you can expect to:

• Partner with technical teams (data engineers, software engineers, data scientists, and platform teams) to define and prioritize data and feature requirements that enable analytics and pricing models; validate outputs and coordinate production readiness with the owning teams.
• Elicit, document, and prioritize data requirements from technical and non-technical stakeholders; translate those requirements into specifications for data pipelines, features, reports, and dashboards.
• Lead and manage analytics-focused projects and cross-functional workstreams end-to-end: scope, plan, track milestones, mitigate risks, and communicate status and decisions to stakeholders.
• Mentor and guide junior analysts, promoting best practices, clear documentation, reproducible workflows, and effective handoffs to technical teams.
• Stay up-to-date with advancements in data engineering, evaluate new tools and recommend approaches that improve data trust and stakeholder value.
• Identify practical opportunities to apply Gen AI for data discovery, automated documentation, query generation, and developer productivity while ensuring safe, compliant, and cost-effective adoption.

The ideal candidate will:

• Have strong hands-on experience with SQL and Python; familiarity with cloud data platforms such as Snowflake and AWS (and Spark/PySpark) is a plus.
• Demonstrate 5+ years of experience in data analysis, product/business analytics, or data engineering.
• Possess proven experience managing analytics or data projects and coordinating cross-functional workstreams, with demonstrated ability to deliver on time and communicate progress to varied audiences.
• Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective).
• Be experienced with data quality practices, monitoring, and validation approaches to ensure reliable inputs for analytics and decision-making.
• Have excellent communication skills and the ability to work with technical and non-technical stakeholders.

Preferred qualifications:

• Domain experience in Auto, Property, Small Commercial or other insurance product areas.
• Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes.