

Sr. Technical Data Analyst
Job Title: Data Analyst
Location: Hybrid/Remote in Westfield OH
Employment Type: Contract-to-Hire
Rate: $65hr
Candidates: US Citizens or GC Holders
Job Summary
Westfield Insurance is seeking a seasoned Data Analyst to join our team in a contract-to-hire capacity. This role is a backfill for a retiring Data Analyst and requires deep technical expertise in SQL, relational databases, and data modeling . The ideal candidate is highly analytical and comfortable working “in the data weeds” while performing complex data analysis and data modeling tasks. Insurance industry experience is highly preferred. This role is not focused on visualization/report development but instead on technical data analysis, data profiling, and relational database navigation .
Key Responsibilities
• Perform data analysis, data profiling, and data sourcing to support business needs.
• Extract, transform, and analyze complex datasets using SQL and relational databases.
• Collaborate with stakeholders to gather and document data requirements (functional & non-functional).
• Develop and validate source-to-target mappings for data movement and transformation.
• Create, update, and maintain conceptual, logical, and physical data models.
• Analyze impacts of new/existing applications on legacy systems and enterprise data environments.
• Identify data quality issues and work with technical and business stakeholders to resolve them.
• Mentor and serve as a subject matter expert for less-experienced data analysts.
• Coordinate and direct data-related work assignments as needed.
Required Qualifications
• 7+ years of experience as a Data Analyst.
• Strong SQL skills and expertise in navigating relational databases.
• Experience with low-to-medium complexity data modeling.
• Background in insurance data or financial services data is a plus.
• Ability to analyze large, complex datasets and provide actionable insights.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or related field (or equivalent experience).
• Experience with data governance, data profiling, and metadata management.
• Strong communication skills and ability to work with both business and technical teams.
Preferred Qualifications
• Experience with Tableau or Power BI (for data validation, not report development).
• Prior work in property & casualty insurance, life insurance, or reinsurance data environments.
Work Environment & Expectations
• Ability to work 40+ hours per week in a collaborative team environment.
• Travel may be required as needed.
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells
ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.