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Genworth

Genworth is hiring: Data Analyst in Indiana

Genworth, Indiana, PA, United States, 15705

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Employer Industry: Insurance and Long-Term Care Services

Why consider this job opportunity:

  • Salary up to $126,300
  • Opportunity to participate in an incentive plan based on performance, 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
  • Access to wellness support, including gym membership reimbursement and mental health services
  • Supportive and inclusive work environment that values diversity and community involvement

What to Expect (Job Responsibilities):

  • Support Long Term Care Claims leadership with reports, data, and analytical insights
  • Collaborate with business partners to understand their goals, gather business requirements, and develop key performance indicators dashboards
  • Conceptualize, create, and automate dashboards in PowerBI for tracking metrics and driving business recommendations
  • 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 developing SQL code in Oracle or Microsoft SQL
  • Strong knowledge of managing and analyzing structured data using Microsoft Excel, SQL, and/or Python
  • Proficiency in writing SQL and optimizing established SQL queries
  • Excellent analytic and problem-solving skills with a critical thinking ability to identify trends

How to Stand Out (Preferred Qualifications):

  • Experience in creating dashboards and reports in PowerBI
  • Familiarity with data visualization best practices
  • Knowledge of the insurance or long-term care industry
  • Ability to build strong relationships with senior management and stakeholders
  • Experience with data-driven decision-making processes
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