Senior Data Analyst

Role Overview

The Senior Data Analyst serves as a strategic partner between business stakeholders, Data Product Managers, and technical teams to transform business requirements into trusted analytical solutions and data products. This role is responsible for requirements analysis, data validation, metric development, business intelligence solutions, and data governance activities that support operational, underwriting, claims, actuarial, and enterprise decision-making.

What You Will Do

The Senior Data Analyst will lead the translation of insurance business needs into implementation-ready requirements, utilize advanced SQL techniques to profile data, validate business logic, and provide actionable insights across complex and integrated data environments.

Why It Might Be a Fit

The Senior Data Analyst will play a key role in supporting data-driven business decisions and advancing enterprise data product capabilities. The role requires strong business acumen, ability to connect data capabilities to underwriting, actuarial, product, pricing, portfolio, or operational outcomes, and experience leading cross-functional teams through ambiguity.

Requirements

• 3+ years of experience in product management, data and analytics, business analysis, consulting, strategy, or a related field within the insurance industry.
• Demonstrated knowledge of underwriting, actuarial, rate/product, portfolio, or underwriting operations processes.
• Experience identifying business problems, shaping opportunities, and delivering insurance data solutions that support underwriting decisions, pricing analysis, portfolio insight, or operational execution.
• Strong business acumen and ability to connect data capabilities to underwriting, actuarial, product, pricing, portfolio, or operational outcomes.
• Experience leading cross-functional teams through ambiguity, aligning stakeholders, and influencing without direct authority.
• Ability to translate between business needs and data or technical concepts to support shared understanding and sound decisions.
• Ability to define product goals, success measures, roadmaps, adoption plans, and prioritization criteria.
• Proven ability to adapt, solve problems, and make progress in a changing environment.
• Excellent spoken and written communication.

Benefits

• Competitive pay
• Generous PTO
• Medical, dental & vision starting day one
• 401(k), tuition reimbursement & longevity bonuses

Tagged as: Data Analysis