Senior Data QA & Validation Analyst (Remote)

Kemper; Dallas (TX); Hybrid; USD 89,000 - 148,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Tuition assistance

Paid time off

Employee discounts

Job summary

Kemper is seeking a highly analytical Data Systems Analyst to ensure data accuracy, completeness, and regulatory compliance across enterprise data platforms. You will partner with data engineers, product owners, and compliance teams to validate requirements and improve data quality practices.

The role emphasizes independent quality validation, testing strategies, and end-to-end data workflow testing, with opportunities to influence data governance and reporting reliability.

Qualifications

• Bachelor's degree or equivalent in Information Systems, CS, Data Analytics, or related field.
• 6+ years of experience in data quality, data warehousing, data testing, or related areas.
• Experience with enterprise data warehouses and data governance practices.
• Insurance industry experience preferred.

Responsibilities

• Investigate production data incidents and perform root cause analysis.
• Develop test strategies and validation documentation for data platforms.
• Collaborate with engineering to implement automated validation and quality monitoring.
• Perform end-to-end data workflow testing across ETL/ELT processes and reporting layers.
• Provide independent validation of critical business processes and data assets.

Skills

Data quality

Data warehousing

Business analysis

Data governance

Quality assurance

Data testing

Insurance domain

SQL

Power BI

Python

Cloud platforms

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 highly analytical Data Systems Analyst to ensure data accuracy, completeness, and regulatory compliance across enterprise data platforms. You will partner with data engineers, product owners, and compliance teams to validate requirements and improve data quality practices.

The role emphasizes independent quality validation, testing strategies, and end-to-end data workflow testing, with opportunities to influence data governance and reporting reliability.