Data Analyst Advisor

Clearance Level
None
Category
Data Analysis
Location
Not Applicable, Maryland

REQ#: RQ69255

Travel Required: Less than 10%
Public Trust: None
Requisition Type: Regular

The Program Integrity Modeling & Analytic Support Contract exists is to detect and prevent Fraud, Waste & Abuse in Medicare and Medicaid through statistical analysis, data mining and predictive modeling. We develop and implement fraud models (detection) and edits (prevention) for use in CMS’ national Fraud Prevention System.

Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage. Conducts statistical analysis on data and information to ensure correct predictive forecasting or classification. Manages all aspects of end-to-end data processing utilizing customized report building functions of systems. Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business.


REQUIRED QUALIFICATIONS:

  • BA and 8+ yrs related experience
  • Superior skills conducting statistical and mathematical modeling and analysis using SAS
  •  Superior skills using SQL for modeling and data manipulation purposes
  • Superior written and verbal skills. Must write succinctly and clearly and explain complex situations in plain English to technical and non-technical audiences
  • Experience developing and presenting solutions to complex, open-ended problems
  • Experience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data
  • Superior customer service skills working proactively and collaboratively with Federal research, compliance, and policy staff and stakeholders to implement and enhance internal and external management reports and public-facing data analysis tools and data sets
  • Experience matching and merging disparate data sets using string/edit distance algorithms
  • Experience using statistical algorithms, techniques and models to define data for data integrity and process analytics
  • Experience using multiple data mining tools including R, Python, SAS, Weka, etc
  • Experience supporting data governance policies and supporting infrastructures spanning diverse stakeholders
  • Experience using manipulating and presenting data using MS Excel
  • Experience with MS Office

Desired Qualifications:

  • Superior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks accordingly, remaining flexible to changing priorities and new initiativesSuperior written and verbal skills.  Must write succinctly and clearly and explain complex situations in plain English to technical and non-technical audiences
  • Experience developing and presenting solutions to complex, open-ended problems
  • Experience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data
  • Experience conducting trade studies and implementing business intelligence tools/solutions in collaboration with Federal customers and stakeholders
  • Knowledge of business intelligence, ETL, data analytics, and data warehouse COTS solution space
  •  Experience using data visualization tools such as including Tableau
  •  Experience conducting health care related research and analytics
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.