Senior Data Systems Analyst

Alpharetta, Georgia, Chicago, Illinois, Cincinnati, Ohio, Dallas, Texas, Des Moines, Iowa, Jacksonville, Florida, P&C-Butterfield Road-Downers Grove-IL-AAC

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high‑performing culture, valuable opportunities for personal development and professional challenge, and a healthy work‑life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs.

By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

We are seeking a highly analytical and detail-oriented Data Systems Analyst to provide independent validation and quality assurance across enterprise data platforms, business processes, and reporting solutions. The role ensures the accuracy, completeness, reliability, and regulatory compliance of critical business data and end‑to‑end data workflows. The analyst works within the Data Engineering organization, partnering with stakeholders to validate requirements, identify data quality risks, and ensure compliance with business and regulatory expectations.

• Investigate production data incidents and quality issues.
• Perform root cause analysis and identify corrective and preventive actions.
• Partner with engineering and operational teams to prioritize remediation activities.
• Track recurring issues and recommend long‑term quality improvements.

• Develop and maintain comprehensive testing strategies for enterprise data platforms and business‑critical processes.
• Create test cases, test scenarios, traceability matrices, and validation documentation.
• Establish risk‑based testing approaches to ensure appropriate coverage of critical business functions.
• Define quality gates and acceptance criteria for data products and platform releases.

• Collaborate with data engineering teams to develop reusable testing assets and automated validation processes.
• Support implementation of automated testing frameworks for data validation, reconciliation, regression testing, and quality monitoring.
• Promote quality engineering best practices across the data organization.

• Conduct regression testing across enterprise systems following enhancements, migrations, platform upgrades, and releases.
• Assess downstream impacts of system and data changes.
• Validate production deployments and release readiness.

• Support performance, scalability, reliability, recoverability, and operational readiness testing.
• Validate system behavior under expected and peak business workloads.
• Assess data processing performance and service‑level requirements.

• Design and execute test plans for complex business and data workflows spanning multiple applications, databases, integrations, and reporting platforms.
• Validate data movement across source systems, ETL/ELT processes, data warehouses, reporting environments, and downstream consumers.
• Perform system integration testing, user acceptance testing support, and production validation activities.

• Partner with business stakeholders, product owners, and data engineering teams to clarify and refine requirements.
• Translate business requirements into testable scenarios and validation criteria.
• Challenge assumptions and identify requirement gaps, ambiguities, and potential quality risks early in the delivery lifecycle.

• Develop and monitor data quality KPIs, controls, and scorecards.
• Support enterprise data quality governance initiatives.
• Contribute to the establishment of data quality standards, policies, and operating procedures.
• Drive continuous improvement of data quality management practices.

• Independently validate critical business processes…