Data Analyst

Position Title

Data Analyst

Richmond, Virginia (in‑office/hybrid). Remote applicants are eligible from states in Eastern or Central Standard Time such as 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 or Wisconsin.

The Data Analyst will support the Long Term Care Claims Operations department, driving business strategy and solving complex problems. You will forecast trends, build Power

BI dashboards, deliver cost‑benefit analyses, drive capacity planning, and present insights to leadership.

• Support LTC Operations Claims leadership with reports, data, and analytical insights.
• Collaborate with business partners to understand their problems and goals, gather requirements, and develop queries and KPI dashboards.
• Conceptualize, create, iterate, and automate dashboards in Power
  
  BI to track metrics and provide business recommendations.
• Build and maintain reports using SQL, Spotfire, Power
  
  BI, and related tools.
• Handle ad‑hoc requests from internal and external parties in a timely manner aligned with current and historical processes.
• Participate in claim strategic initiatives by providing insight and data analysis.
• Build strong relationships with senior management to develop context and shape strategy through data.
• Recommend process changes based on trends and data analysis, applying knowledge of claims strategy, risks, and financial goals.

• Excellent analytical and problem‑solving skills, with the ability to identify trends and solve problems with data.
• 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 Excel, SQL, and/or Python.
• Proficiency in writing, interpreting, enhancing, and optimizing SQL queries.

• Competitive compensation and total rewards incentives.
• Comprehensive healthcare coverage.
• Multiple 401(k) savings plan options, including auto‑enrollment in an employer‑directed retirement account (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.

The base salary range starts at $65,500 and up to $126,300. In addition, a performance‑based incentive plan offers a target earning opportunity of 7% of base compensation.

Mid‑Senior level

Full‑time

Information Technology (Insurance)