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Data Analyst

Job in Orangeburg, Orangeburg County, South Carolina, 29117, USA
Listing for: Genworth
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 126300 USD Yearly USD 126300.00 YEAR
Job Description & How to Apply Below

Employer Industry: Long-Term Care Insurance

Why consider this job opportunity
  • Salary up to $126,300
  • Incentive plan with a target earning opportunity of 7% of base compensation
  • Comprehensive healthcare coverage and multiple 401(k) savings plan options
  • Generous paid time off, including 12 paid holidays and volunteer time off
  • Opportunities for professional development through tuition reimbursement and training support
  • Supportive work environment focused on employee well-being and community involvement
What to Expect (Job Responsibilities)
  • Support Long-Term Care Operations Claims leadership with reports, data, and analytical insights
  • Collaborate with business partners to gather requirements and develop key performance indicators dashboards
  • Conceptualise, create, iterate, and automate dashboards in Power

    BI for tracking metrics
  • Build and maintain reporting using tools such as SQL, Spotfire, and PowerBI
  • Participate in strategic initiative projects by providing insight and data analysis
What is Required (Qualifications)
  • Bachelor's degree in an analytical or technical discipline
  • 2-5 years of professional experience in developing SQL code in Oracle or Microsoft SQL
  • Excellent analytic and problem‑solving skills, with the ability to identify trends and solve problems with data
  • Strong knowledge of managing and analysing structured data using Microsoft Excel, SQL, and/or Python
  • Proficiency in writing SQL and interpreting established SQL queries
How to Stand Out (Preferred Qualifications)
  • Experience with Power

    BI and data visualization tools
  • Familiarity with data analysis in the context of claims operations
  • Ability to present complex data insights to senior management effectively

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