Senior Data Analyst

Berkshire Hathaway GUARD Insurance Companies

. Partner with Data Product Managers, business leaders, and cross-functional stakeholders to clarify complex business problems, define requirements, establish success measures, and drive data product adoption and business outcomes .

Posted 9/25/2026full-timeUnited StatesSenior💰 $77,763 - $180,082 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Partner with Data Product Managers, business leaders, and cross-functional stakeholders to clarify complex business problems, define requirements, establish success measures, and drive data product adoption and business outcomes
Translate insurance business needs into implementation-ready requirements, including business rules, data definitions, source-to-target mappings, metric logic, acceptance criteria, and data quality standards
Use advanced SQL to profile data, validate business logic, investigate anomalies, reconcile results, assess data quality, and provide actionable insights
Own the Power BI development lifecycle, including requirements gathering, solution design, dashboard development, validation, deployment, user adoption, and continuous improvement
Lead descriptive and diagnostic analytics to identify trends, root causes, opportunities, and risks
Collaborate with data engineering teams on data models, semantic layer requirements, reusable dimensions, governed metrics, and scalable data structures
Lead business validation and data product quality reviews with product managers, QA analysts, and stakeholders
Maintain business definitions, metric definitions, data dictionaries, reporting standards, usage guidance, and decision records
Support data product rollout and adoption by communicating value, engaging stakeholders, gathering feedback, monitoring utilization, and identifying enhancements
Serve as a subject matter resource for data analysis, reporting, and business intelligence best practices
Guide, mentor, and provide technical support to Data Analysts and other team members

Requirements

What you’ll need

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 supporting underwriting decisions, pricing analysis, portfolio insight, or operational execution
Strong business acumen connecting 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
Experience facilitating workshops, interviews, discovery sessions, prioritization discussions, and product planning conversations
Ability to translate between business needs and data or technical concepts
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
Strong Property & Casualty insurance knowledge
Advanced SQL skills, including data profiling, joins, aggregations, reconciliations, validation, issue investigation, and analysis across complex data sets
Hands-on Power BI or comparable experience, including requirements, dashboard design, prototyping, semantic modeling, development, testing, deployment, and user enablement
Experience translating business needs into requirements, metric definitions, quality expectations, BI solutions, and implementation-ready inputs for engineering teams
Experience partnering with engineers, governance teams, QA analysts, and business stakeholders on modeling, source-to-target mapping, validation, and reusable consumption layers
Familiarity with data products, data mesh, semantic models, metadata management, data quality, access controls, and governed consumption patterns
Strong analytical, problem-solving, facilitation, and communication skills across business and technical audiences
Ability to work through ambiguity, organize details, influence across teams, and support outcome-focused delivery
Bachelor’s degree in a related field preferred
Must be authorized to work in the U.S. without current or future sponsorship
Must participate independently in interviews; unauthorized recording, transcription, AI note-taking, or AI interview assistance tools are prohibited without prior approval

Benefits

Comp & perks

Hybrid schedule: 2 days remote / 3 in-office
Predictable hours (no nights, weekends, or holidays)
Competitive pay
Generous PTO
Medical, dental & vision starting day one
401(k)
Tuition reimbursement
Longevity bonuses
Bonus compensation