Senior Healthcare Data Analyst @General Dynamics Information Technology
Data and Analytics
Salary usd 106,250 - 1..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted Today

[Hiring] Senior Healthcare Data Analyst @General Dynamics Information Technology

Today - General Dynamics Information Technology is hiring a remote Senior Healthcare Data Analyst. πŸ’Έ Salary: usd 106,250 - 143,750 per year πŸ“Location: USA

Role Description

Deliver insights to help our clients turn data into action as a Sr. Healthcare Data Analyst at GDIT. Your work will provide transformative solutions to our clients’ big-data opportunities and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

As a Sr. Healthcare Data Analyst you will help ensure today is safe and tomorrow is smarter. The Sr. Healthcare Data Analyst will be a collaborative part of our team to support the Centers for Medicare & Medicaid Services (CMS) mission to detect and prevent fraud, waste, or abuse across the Medicaid program through advanced analytics and data visualization solutions.

Responsibilities:

  • Perform data analysis, interpretation, and reporting duties.
  • Develop rules and methodologies for data collection and analysis.
  • Conduct research of vulnerabilities and high-risk areas within the Medicaid program integrating policy understanding and in-depth claims analysis.
  • Present analytic findings through written, verbal, and visualization techniques to communicate complex studies and recommended actions in a way that is easy to understand for a wide range of audiences.
  • Use critical thinking and exploratory research to understand program rules and how data can provide insights to inform decision making.
  • Utilize analytic skills including ability to efficiently work with large datasets to uncover patterns and trends that are meaningful to program oversight and action.
  • Proactively and effectively collaborates with leadership and team members to identify solutions to complex challenges.

Qualifications

  • Bachelors Degree and at least 5+ years of T-MSIS experience conducting advanced analysis of Medicaid data.
  • Experience using SQL, Python, Tableau, Databricks, Snowflake or similar analytic, reporting, and dashboard/visualization tools.
  • Experience building advanced analytic solutions meeting business challenges through understanding of Medicaid policy.
  • Experience building analytics and visualization solutions to detect and prevent fraud, waste, or abuse.

Requirements

  • 5 + years of related experience.
  • US Citizenship Required: No.

Benefits

  • Variety of medical plan options, some with Health Savings Accounts.
  • Dental plan options.
  • Vision plan.
  • 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
  • Full flex work weeks where possible.
  • Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
  • Typically provides new employees with 15 days of paid leave per calendar year and an additional 10 paid holidays per year.
  • Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
  • Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Healthcare Data Analyst @General Dynamics Information Technology
Data and Analytics
Salary usd 106,250 - 1..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted Today
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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