Sr. Healthcare Data Analyst (Medicaid)

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Big Data, Data Analytics, Statistical Analysis

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job 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.

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. Develops 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.

Required Skills:

• Bachelors Degree and at least 8+ 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.

The likely salary range for this position is $112,840 - $143,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 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. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as 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. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 

 

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.