Senior Data Systems Analyst (Insurance)

Location: Hybrid from a local hirify.global office or remote for candidates in the United States; remote locations include Connecticut, Ohio, Pennsylvania, Rhode Island, and Virginia.

Salary: $89,000–$148,100 annually, plus an eligible discretionary annual bonus.

Company

hirify.global is a specialized insurance company providing products and services for customers with evolving needs.

What you will do

• Investigate production data incidents, perform root cause analysis, and coordinate corrective and preventive actions.
• Develop test strategies, test cases, traceability matrices, quality gates, and acceptance criteria for enterprise data platforms.
• Design and execute end-to-end testing across source systems, ETL/ELT processes, data warehouses, integrations, reports, and downstream consumers.
• Support automated validation, reconciliation, regression testing, performance testing, and release readiness assessments.
• Validate data assets, dashboards, regulatory submissions, business rules, transformations, calculations, and reporting logic.
• Develop data quality KPIs, controls, scorecards, governance standards, and continuous improvement practices while mentoring junior analysts.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field; equivalent experience may be considered.
• At least 6 years of experience in data quality analysis, data warehousing, business systems analysis, data governance, quality assurance, data testing, or business process validation.
• Insurance industry experience in P&C and/or Life Insurance and experience supporting enterprise data warehouse environments.
• Advanced SQL, data profiling, reconciliation, root cause analysis, test planning, regression testing, requirements traceability, and data governance experience.
• Experience with Snowflake, Oracle, SQL Server, or similar databases; Informatica or IICS; Power BI; XML, JSON, and API integrations.
• Familiarity with Python or other scripting languages and Azure, AWS, or other cloud-based data platforms.

Nice to have

• Experience with data quality, observability, or governance tools.
• Familiarity with CI/CD, automated testing frameworks, DataOps, DevOps, or Agile methodologies.
• Experience with large-scale cloud data platforms, distributed data ecosystems, AI-assisted testing, data lineage, metadata management, or master data management.
• Experience supporting enterprise audit and regulatory compliance initiatives.

Culture & Benefits

• High-performing, diverse, and quality-focused work environment.
• Opportunities for professional development and challenging work.
• Healthy work-life balance.
• Medical, dental, vision, paid time off, and 401(k) benefits.