More jobs:
Data Analyst
Job in
Indiana, Indiana County, Pennsylvania, 15705, USA
Listed on 2026-01-12
Listing for:
Genworth
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, IT Business Analyst
Job Description & How to Apply Below
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
- 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 Power
BI 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
- 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
- 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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