Senior Data Business Systems Analyst (Data Quality)

Location: Hybrid from a local hirify.global office in Charlotte, Chicago, Columbus, Dallas, Denver, or St. Louis, or remote for a non-local candidate in the United States.

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

Company

hirify.global is a specialized insurer providing insurance 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 testing strategies, test cases, traceability matrices, quality gates, and acceptance criteria for enterprise data platforms and business-critical processes.
• Design and execute end-to-end tests across source systems, ETL/ELT processes, databases, data warehouses, integrations, reporting platforms, and downstream consumers.
• Validate data assets, reports, dashboards, regulatory submissions, business rules, transformations, calculations, aggregations, and data quality metrics.
• Support performance, scalability, reliability, recoverability, release, regression, integration, user acceptance, and production validation activities.
• Partner with business, engineering, architecture, product, compliance, risk, and operations teams; mentor junior analysts and improve enterprise data quality practices.

Requirements

• Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field; equivalent work experience may be considered.
• 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.
• Experience supporting enterprise data warehouse environments.
• Expertise in data quality management, end-to-end business process testing, data warehouse validation, reporting verification, reconciliation, profiling, requirements analysis, traceability, governance, stewardship, regulatory validation, audit support, incident investigation, data lineage, metadata, data quality controls, relational databases, and data modeling.
• Advanced SQL development and data analysis skills, including root cause analysis, test planning, test design, test execution, regression testing, and release validation.
• Experience with Snowflake, Oracle, SQL Server, or similar database platforms; Informatica, IICS, or enterprise data integration platforms; reporting and analytics tools such as Power BI; XML, JSON, and API-based integrations; Python or other scripting languages; and Azure, AWS, or other cloud data platforms.
• Strong analytical, critical-thinking, communication, stakeholder-management, documentation, organizational, prioritization, and independent-working skills, with high attention to detail and a continuous-improvement mindset.

Nice to have

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

Culture & Benefits

• Hybrid work from a local hirify.global office or remote work for non-local candidates.
• Medical, dental, and vision benefits.
• Paid time off and 401(k).
• Annual discretionary bonus eligibility.
• Focus on diversity, equality, accountability, work-life balance, professional development, and continuous improvement.