Data Business Systems Analyst
Role Overview
Kemper seeks a Senior Data Business Systems Analyst as an independent quality function within its Data Engineering organization.
The role validates enterprise data platforms, business processes, reporting solutions, and end-to-end data workflows for accuracy, completeness, reliability, and regulatory compliance.
The analyst partners with stakeholders, data engineers, architects, product owners, compliance teams, and operations teams.
Key Skills for This Role
Full Job Posting
Position summary
Kemper seeks a Senior Data Business Systems Analyst as an independent quality function within its Data Engineering organization.
The role validates enterprise data platforms, business processes, reporting solutions, and end-to-end data workflows for accuracy, completeness, reliability, and regulatory compliance.
The analyst partners with stakeholders, data engineers, architects, product owners, compliance teams, and operations teams.
Incident management and quality assurance
- Investigate production data incidents, conduct root cause analysis, and identify corrective and preventive actions.
- Develop testing strategies, cases, scenarios, traceability matrices, and validation documentation.
- Define risk-based coverage, quality gates, and acceptance criteria for data products and platform releases.
- Support reusable test assets and automated data validation, reconciliation, regression, and quality monitoring.
Testing and validation
- Conduct regression testing after enhancements, migrations, upgrades, and releases; assess downstream impacts and validate release readiness.
- Support performance, scalability, reliability, recoverability, and operational readiness testing under expected and peak workloads.
- Test workflows across applications, databases, integrations, reporting platforms, ETL/ELT processes, data warehouses, and downstream consumers.
- Support system integration testing, user acceptance testing, and production validation.
Requirements and data governance
- Clarify business requirements and translate them into testable scenarios and validation criteria; identify gaps, ambiguities, and risks early.
- Develop and monitor data quality KPIs, controls, and scorecards; support enterprise governance standards and continuous improvement.
- Independently validate critical business processes and supporting data workflows.
Candidate profile
- Expertise in data analysis, data warehousing, systems analysis, business process validation, testing methodologies, and data governance.
- Ability to independently assess data quality across source systems, transformations, integrations, reporting platforms, and downstream consumers.
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