Data Analyst, Senior

Clearance Level
None
Category
Data Analysis
Location
Not Applicable, Maryland

REQ#: RQ70176

Travel Required: Less than 10%
Requisition Type: Regular

GDIT is searching for dynamic data analyst/data scientists to join our T-MSIS (Medicaid) growing team. You will support an exciting new program focused on fraud, waste, and abuse detection and prevention. The role will allow you to utilize advanced data mining and statistical techniques to enable critical decision making. This opportunity is contingent upon contract award.

Responsibilities:

  • Extract qualitative and quantitative relationships (i.//e., patterns, trends) from large amounts of data using SQL, R, Python or other statistical tools
  • Gather and organize information for use in supporting decision-making process
  • Collect, manipulate, analyze, evaluate, and display data using visualization tools
  • Perform data analysis and create data summaries using descriptive statistics
  • Implement open-ended data merges, data analysis plans, and perform complex data manipulation and reporting tasks
  • Develop, write, and present detailed technical solutions to solve open-ended business problems to technical and non-technical audiences

REQUIRED QUALIFICATIONS

  • Bachelor's degree in related field or equivalent combination of education and experience and 5+ yrs related experience, or Master's Degree and 3+ yrs related experience
  • Experience with Medicare and/or Medicaid claims data and program(s)
  • Superior skills conducting statistical and mathematical modeling and analysis using SQL, R, Python or similar software
  • Superior skills using SQL for data manipulation purposes
  • Experience using statistical algorithms, techniques and models and experience with assessing data integrity
  • Experience using multiple data mining tools such as SAS, R, Python, etc.

ADDITIONAL QUALIFICATIONS

  • Experience with fraud detection
  • 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 using data visualization tools such as Tableau
  • Experience conducting health care related research and analytics
  • 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
  • Superior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks accordingly, remaining flexible to changing priorities and new initiatives
  • Experience supporting data governance policies and supporting infrastructures spanning diverse stakeholders
  • Experience using MS Excel and PowerPoint for analysis and presentation of results
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.