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Business Data Analyst

Remote / Online - Candidates ideally in
Topeka, Shawnee County, Kansas, 66652, USA
Listing for: Security Benefit
Remote/Work from Home position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Warehousing, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 72000 - 100000 USD Yearly USD 72000.00 100000.00 YEAR
Job Description & How to Apply Below
We're Looking for an experienced Business Data Analyst!

About the Company:

Security Benefit is a leader in the U.S. retirement market with more than $75 billion in assets under management. We offer opportunities to thrive, innovate, and make an impact. As part of our team, you'll play a key role in driving the future of the U.S. retirement industry. Security Benefit is a PLACE where we promise to help our customers To and Through Retirement®.

We're proud to have been recognized as one of the best in the business:

  • Named to Ward's 50 list of top-performing life-health insurance companies
  • Recognized on list of Ingram's Top 100 Private Companies in the Kansas City area in 2025
About the Role:

The Business Data Analyst is an independent contributor on Security Benefit's Data Intelligence team within the Director, Data Analysis & Integration portfolio. This role independently performs data analysis, develops reports and dashboards, documents business and data requirements, and coordinates data quality resolution across assigned business domains. The Business Data Analyst works with minimal day-to-day direction on standard analytical cases, exercises sound judgment within established frameworks, and serves as a reliable analytical partner for business stakeholders.

This role operates within Security Benefit's ELT data architecture - bridging the data platform (Extract & Load) and business consumption layers - and contributes to the delivery of data products supporting the organization's retirement services, annuities, and investment businesses.

The Business Data Analyst position reports to the Director, Data Analysis & Integration and can be based out of our home office in Topeka, Kansas, or remotely for the right candidate. We work a hybrid schedule, offering flexibility to work both remotely and on-site.

  • Independently perform business and data requirements analysis for assigned initiatives - gather requirements from stakeholders, document data flows, and develop functional and data specifications
  • Develop and maintain reports, dashboards, and data summaries using established analytics and visualization platforms (e.g., Power BI, Tableau, or equivalent); ensure outputs meet business quality standards
  • Write and execute data queries to extract, validate, and analyze data from the enterprise data platform (e.g., Snowflake, cloud data warehouse); apply profiling techniques to assess data fitness for use
  • Serve as liaison between business and technical teams - translate business requirements into data specifications and communicate data constraints and solutions back to business partners
  • Perform data quality assessment activities including source data profiling, anomaly identification, and coordination of remediation with Data Engineering (ELT pipeline owners)
  • Develop data mapping documentation, traceability matrices, and source-to-target specifications for assigned data products
  • Support testing activities including preparation of test cases, execution of system and UAT test scripts, logging defects, and contributing to Testing Summary Reports
  • Maintain program documentation in compliance with corporate data governance standards; participate in data stewardship activities for assigned domains
  • Contribute to continuous improvement of team analytical processes, templates, and standards under direction of senior colleagues
What We're Looking For:
  • Bachelor's degree in Data Analytics, Business Administration, Computer Science, Information Systems, or related field
  • 2-4 years of experience in business data analysis, data reporting, or a closely related analytical role
  • Solid proficiency in data querying tools (e.g., SQL, Snowflake) including writing queries, joins, aggregations, and data profiling techniques
  • Experience…
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