Business Data Analyst

Security Benefit Business Services / Everly Life•Topeka, KS
•Hybrid

About The Position

Security Benefit is seeking an experienced Business Data Analyst to join their Data Intelligence team. This role is an independent contributor responsible for performing data analysis, developing reports and dashboards, documenting business and data requirements, and resolving data quality issues. The analyst will work with minimal supervision, exercise sound judgment, and act as a reliable analytical partner for business stakeholders. The position operates within Security Benefit's ELT data architecture, connecting the data platform with business consumption layers, and supports the organization's retirement services, annuities, and investment businesses. The role reports to the Director, Data Analysis & Integration and can be based in Topeka, Kansas, or remote. The company offers a hybrid work schedule.

Requirements

  • 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 developing reports and dashboards using business intelligence and visualization platforms (e.g., Power BI, Tableau, or equivalent)
  • Familiarity with data warehouse concepts and ELT architecture patterns; experience working within a cloud data platform environment preferred
  • Experience gathering and documenting business requirements including data flow diagrams, functional specifications, and source-to-target mappings
  • Strong analytical and problem-solving skills; ability to investigate data issues and communicate findings clearly

Nice To Haves

  • Retirement services, annuities, mutual funds, or financial services industry experience preferred

Responsibilities

  • 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

Benefits

  • Competitive salary and annual incentive bonuses
  • 33 days of paid time off (including PTO, holidays, Volunteer Day, and days of significance)
  • Paid parental leave after 90 days of service
  • Comprehensive medical, dental & vision insurance
  • 401(k) with company match
  • Profit Sharing & Savings Plan
  • Short- and Long-Term Disability Insurance
  • Flexible Spending Accounts for medical and dependent care
  • Life Insurance
  • Educational assistance
  • Associate assistance programs
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