Job description
Applying business acumen to translate complex, ambiguous analysis into clear findings and business impact Delivering executive-level updates through recurring newsletters, memos, and presentations; synthesizing inputs from multiple teams into a single, cohesive narrative Building and maintaining monitoring frameworks, guardrails, and quality control processes that support consistent, repeatable program evaluation Supporting prioritization of analytical work based on urgency, materiality, and business impact — distinguishing signals that require action from normal market noise Insurance product or pricing knowledge — familiarity with insurance products and pricing mechanics, rate calibration, segmentation, and the pricing program lifecycle is strongly preferred Strong analytical and quantitative skills — ability to work with large, complex datasets to identify trends, draw meaningful conclusions, and support data-driven decision making Sound business judgment — ability to prioritize findings by impact, operate confidently with limited or noisy data, and recommend clear next steps under uncertainty Technical proficiency — advanced Excel, Power BI, and the ability to query and manipulate data using SQL, Python, and/or Snowflake Executive communication skills — proven ability to write clearly and concisely for senior audiences, translating data into decision-ready insights Cross-functional effectiveness — track record of driving workstreams forward, building alignment across teams, and influencing without direct authority Curiosity and intellectual rigor — a natural problem solver who asks the right questions, challenges assumptions, and digs deeper when results don't add up Bachelor's degree in business, information management, economics, or other quantitative field.
Master's degree preferred. Minimum 4 years, typically 6 years or more of relevant work experience. Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills. Highly developed communication and presentation skills. In-depth knowledge of data concepts, strategies, and methodologies.
In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives. Highly developed negotiation, facilitation and consensus building skills.