Data Analyst – Genworth
Position Title: Data Analyst
Location
Richmond, Virginia (in‑office/hybrid) or remote (Eastern or Central Standard Time zones: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia, Wisconsin)
About the Role
The Data Analyst will support our Long Term Care Claims Operations department, driving business strategy and solving complex problems. Responsibilities include forecasting trends, building PowerBI dashboards, performing cost‑benefit analysis, capacity planning, and presenting insights to leadership.
Key Responsibilities
- Support LTC Operations Claims leadership with reports, data, and analytical insights.
- Collaborate with business partners to understand problems and goals, gather requirements, and develop queries and KPI dashboards.
- Conceptualize, create, iterate, and automate dashboards in PowerBI to track metrics and drive business recommendations.
- Build and maintain reporting using tools such as SQL, Spotfire, PowerBI, and more.
- Handle ad‑hoc requests from internal and external parties promptly, aligning with current and historical business processes.
- Participate in claim strategic initiative projects by providing insight and data analysis.
- Build strong relationships with senior management to develop deep context about organizational initiatives and shape strategy through data.
- Recommend process changes based on trends and data analysis, applying knowledge of claims strategy, relevant issues, and risk and financial goals.
Qualifications
- Excellent analytic and problem‑solving skills, a critical thinker capable of identifying trends and solving problems with data.
- Bachelor's degree in an analytical or technical discipline.
- 2‑5 years of professional experience demonstrating expertise in 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, interpreting, enhancing, and optimizing established SQL queries.
Benefits & Well‑Being
- Competitive compensation and total rewards incentives.
- Comprehensive healthcare coverage.
- Multiple 401(k) savings plan options.
- Auto‑enrollment in employer‑directed retirement account feature (100% employer‑funded).
- Generous paid time off, including 12 paid holidays, volunteer time off, and paid family leave.
- Disability, life, and long‑term care insurance.
- Tuition reimbursement, student loan repayment and training & certification support.
- Wellness support including gym membership reimbursement and employee assistance program resources.
- Caregiver and mental health support services.
Base salary range: $65,500 – $126,300. Eligibility for an incentive plan that could provide up to 7% of base compensation based on performance.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Information Technology
Industry
Insurance
Visa Sponsorship
This role is not eligible for employment visa sponsorship.