Senior Data Quality & Validation Analyst

Kemper Corporation; Downers Grove (IL); Hybrid; USD 89,000 - 148,000; Full time

Benefits offered by this job

401(k) match

Tuition Assistance Program

Paid time off

Health, dental, vision plans

Job summary

Kemper is seeking a Data Systems Analyst to validate data quality across enterprise platforms, partnering with data engineers, product owners, and compliance teams. You will design testing strategies, validate data movements, and ensure regulatory compliance in end-to-end workflows.

The role emphasizes independent QA within Data Engineering, with opportunities to mentor junior analysts and influence quality practices across the organization. Hybrid work options are available.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or related field
• 6+ years in data quality, data warehousing, or related areas
• Experience with data governance, testing, and validation in insurance domain a plus
• Strong SQL, data profiling, reconciliation, and root cause analysis skills
• Knowledge of ETL/ELT, data lineage, and regulatory validation practices

Responsibilities

• Build and validate end-to-end data workflows across data platforms
• Investigate production data incidents and drive remediation actions
• Develop and execute comprehensive data quality testing and validation plans
• Collaborate with data engineers and stakeholders to ensure data accuracy and regulatory compliance
• Lead testing strategies, risk-based testing, and quality gates for releases
• Support data governance efforts and monitoring via KPIs and scorecards

Skills

Data quality

SQL

Data warehousing

Regulatory compliance

Root cause analysis

Education

Bachelor's degree in Information Systems/CS/Data Analytics

Tools

Snowflake

Oracle/SQL Server

Informatica/IICS

Power BI

Job description

Kemper is seeking a Data Systems Analyst to validate data quality across enterprise platforms, partnering with data engineers, product owners, and compliance teams. You will design testing strategies, validate data movements, and ensure regulatory compliance in end-to-end workflows.

The role emphasizes independent QA within Data Engineering, with opportunities to mentor junior analysts and influence quality practices across the organization. Hybrid work options are available.