Senior Data Quality & Systems Analyst - Remote

Kemper Corporation; United States; Hybrid; USD 89,000 - 148,000; Full time

Benefits offered by this job

Medical

Dental

Vision

PTO

401k

Job summary

Kemper is seeking a Senior Data Business Systems Analyst to independently validate data platforms, ensure accuracy and regulatory compliance, and drive data quality improvements across enterprise workflows.

In this role you will partner with data engineers, product owners, compliance teams, and stakeholders to validate requirements, craft test strategies, and support end-to-end data workflow testing in a complex insurance data environment.

Qualifications

• 6+ years in data quality analytics, data warehousing, or related fields.
• Experience with data governance and regulatory validation.
• Experience with ETL/ELT, data lineage, and reporting verification.

Responsibilities

• Validate data quality across source systems, transformations, and reporting platforms.
• Design and execute end-to-end data workflow validation.
• Collaborate with data engineers and stakeholders to ensure data accuracy and compliance.
• Perform root cause analysis on data incidents and drive remediation actions.
• Develop test plans, traceability matrices, and validation documentation.

Skills

Data quality analytics

Data warehousing

Business systems analysis

Data governance

Quality assurance

Data testing

Business process validation

Education

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

Tools

Snowflake

Oracle

SQL Server

Informatica/IICS

Power BI

XML/JSON/API

Python scripting

Azure/AWS cloud platforms

Job description

Kemper is seeking a Senior Data Business Systems Analyst to independently validate data platforms, ensure accuracy and regulatory compliance, and drive data quality improvements across enterprise workflows.

In this role you will partner with data engineers, product owners, compliance teams, and stakeholders to validate requirements, craft test strategies, and support end-to-end data workflow testing in a complex insurance data environment.