Driven by a commitment to collaboration, DNA partners with our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the “What’s Next” in our industry and beyond.  Our mission is to drive transformation and provide exceptional capabilities and service to the operating units. DNA Enterprise Reporting generates meaningful and measurable value by delivering insights for our customers, partners, and shareholders using data and analytics.  

 

Our vision is to enable operating unit profit and growth objectives by designing and delivering scalable solutions.  With a culture centered on innovation and service stewardship, DNA stands as a community of leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine.  DNA offers endless ways to get involved and have the chance to grow your career into a wide range of roles. Come join us as we push forward into the future of industry leading technology and service solutions.

 

Company URL:  https://www.berkley.com/

 

The company is an equal opportunity employer.

The Corporate Property team is seeking a Senior Data Analyst to help drive the development of data products that unlock insights and enable advanced analytics across the W. R. Berkley enterprise. We serve as strategic consultants to our business partners, helping them leverage data to inform decisions, optimize processes, and generate measurable business value.

 

In this role, you will apply your critical-thinking, analytical, and data‑modeling skills to uncover insights, translate complex findings into clear recommendations, and define requirements for scalable data solutions. You will collaborate closely with stakeholders across underwriting, marketing, claims, technology, actuarial, and operations—strengthening our partners’ ability to use data effectively and advancing our team’s mission to deliver impactful analytics.

 

• Lead the design, development, and enhancement of data products that meet enterprise business needs.
• Partner with business stakeholders to understand objectives, processes, and data requirements.
• Translate business needs into clear product requirements, user stories, and acceptance criteria.
• Collaborate closely with BDW and data engineering teams to define source data, reference data, and required transformations.
• Validate data mappings, business rules, and quality expectations to ensure reliable and meaningful outputs.
• Design end‑to‑end data product solutions, including data flows, transformation logic, and usage scenarios.
• Produce high-quality documentation such as requirements, data dictionaries, and process flows for both business and technical audiences.
• Support development teams by providing context, clarifying requirements, and ensuring alignment throughout build cycles.
• Lead user acceptance testing (UAT) by defining test cases, coordinating stakeholders, and validating system outputs.
• Troubleshoot defects and work with technical teams to resolve issues during development and testing phases.
• Prepare stakeholders for product rollout by supporting launch planning, onboarding, and communication.
• Monitor product performance, gather feedback, and identify opportunities for continuous improvement or expanded functionality.

• 5+ years of experience as a data analyst, financial analyst, operations analyst, or in a similar analytical or data‑focused role.
• Strong SQL skills for querying, data validation, and investigating data across multiple systems.
• Hands‑on experience working with insurance data (policies, coverages, risks, premiums, limits, deductibles) and navigating insurance source systems.
• Proven ability to structure, execute, and present data findings and solution recommendations.
• Strong verbal communication skills, with the ability to synthesize technical details into insights for non‑technical business stakeholders.
• Demonstrated ability to collaborate across organizational boundaries and build productive relationships with business and technical partners.
• Highly curious, with a discovery mindset and a desire to understand data behavior, edge cases, and business context.
• Detail‑oriented and accurate, with a track record of producing high‑quality work and validating results thoroughly.
• Reliable, trustworthy, and driven—able to work independently, meet commitments, and follow through on complex tasks.
• Comfortable operating in ambiguous environments, working backward from business goals to define a clear plan of action.
• Stakeholder‑engagement experience, including gathering requirements, reviewing findings, and supporting decision‑making.
• Proficiency with SQL, Excel, PowerPoint, and at least one data visualization tool (Power BI, Tableau, etc.).
• Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Engineering, Computer Science, or a related field.
• Prior experience in project‑based or product‑focused roles is preferred.

 

Preferred Qualifications:

• 4+ years of Property Insurance experience
• Experience with cloud data platforms (e.g., Databricks).
• Experience with insurance data onboarding, conversions, or migrations
• Familiarity with Guidewire or similar policy administration systems
• Experience with enterprise data warehouses or reporting platforms
• Exposure to data governance, controls, or audit processes

We do not accept any unsolicited resumes from external recruiting agencies or firms.

The company offers a competitive compensation plan and robust benefits package for full time regular employees. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Sponsorship not Offered for this Role

Overview:

The Corporate Property team is seeking a Senior Data Analyst to help drive the development of data products that unlock insights and enable advanced analytics across the W. R. Berkley enterprise. We serve as strategic consultants to our business partners, helping them leverage data to inform decisions, optimize processes, and generate measurable business value.

In this role, you will apply your critical-thinking, analytical, and data‑modeling skills to uncover insights, translate complex findings into clear recommendations, and define requirements for scalable data solutions. You will collaborate closely with stakeholders across underwriting, marketing, claims, technology, actuarial, and operations—strengthening our partners’ ability to use data effectively and advancing our team’s mission to deliver impactful analytics.

Responsibilities:

• Lead the design, development, and enhancement of data products that meet enterprise business needs.
• Partner with business stakeholders to understand objectives, processes, and data requirements.
• Translate business needs into clear product requirements, user stories, and acceptance criteria.
• Collaborate closely with BDW and data engineering teams to define source data, reference data, and required transformations.
• Validate data mappings, business rules, and quality expectations to ensure reliable and meaningful outputs.
• Design end‑to‑end data product solutions, including data flows, transformation logic, and usage scenarios.
• Produce high-quality documentation such as requirements, data dictionaries, and process flows for both business and technical audiences.
• Support development teams by providing context, clarifying requirements, and ensuring alignment throughout build cycles.
• Lead user acceptance testing (UAT) by defining test cases, coordinating stakeholders, and validating system outputs.
• Troubleshoot defects and work with technical teams to resolve issues during development and testing phases.
• Prepare stakeholders for product rollout by supporting launch planning, onboarding, and communication.
• Monitor product performance, gather feedback, and identify opportunities for continuous improvement or expanded functionality.

Qualifications

Qualifications:

• 5+ years of experience as a data analyst, financial analyst, operations analyst, or in a similar analytical or data‑focused role.
• Strong SQL skills for querying, data validation, and investigating data across multiple systems.
• Hands‑on experience working with insurance data (policies, coverages, risks, premiums, limits, deductibles) and navigating insurance source systems.
• Proven ability to structure, execute, and present data findings and solution recommendations.
• Strong verbal communication skills, with the ability to synthesize technical details into insights for non‑technical business stakeholders.
• Demonstrated ability to collaborate across organizational boundaries and build productive relationships with business and technical partners.
• Highly curious, with a discovery mindset and a desire to understand data behavior, edge cases, and business context.
• Detail‑oriented and accurate, with a track record of producing high‑quality work and validating results thoroughly.
• Reliable, trustworthy, and driven—able to work independently, meet commitments, and follow through on complex tasks.
• Comfortable operating in ambiguous environments, working backward from business goals to define a clear plan of action.
• Stakeholder‑engagement experience, including gathering requirements, reviewing findings, and supporting decision‑making.
• Proficiency with SQL, Excel, PowerPoint, and at least one data visualization tool (Power BI, Tableau, etc.).
• Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Engineering, Computer Science, or a related field.
• Prior experience in project‑based or product‑focused roles is preferred.

Preferred Qualifications:

• 4+ years of Property Insurance experience
• Experience with cloud data platforms (e.g., Databricks).
• Experience with insurance data onboarding, conversions, or migrations
• Familiarity with Guidewire or similar policy administration systems
• Experience with enterprise data warehouses or reporting platforms
• Exposure to data governance, controls, or audit processes