Military Health System (MHS) - Data Analytics Specialist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please visit www.guidehouse.com.
Responsibilities

The MHS Data Analyst will be responsible for performing data analysis across a broad range of healthcare optimization topics for the Military Health System. This involves maintaining enterprise-level performance metrics reported to military leadership, analyzing data from central data repositories, and describing trends and results in high-visibility documents. Additionally, the analyst will conduct statistical analysis and explanatory and predictive modeling to determine best practices and to develop actionable insights and recommendations for current operations or issues. The analyst may also handle special analytical projects as needed.

Job Description/Responsibilities:

• Conduct analysis of large data sets in various programs and formats.
• Create visual representations of data outcomes and describe trends and insights to leadership.
• Maintain and update key metric dashboards and reports.
• Balance a combination of recurring to ad hoc data analysis requests in a fast-paced environment.
• Support the development of work products and deliverables.
• Assist with the development of analyses to address legislative requirements or priority initiatives; review numbers, identify trends, and data.
• Create dashboards and reports; present reports/dashboards to senior leadership.
• Run and maintain MS Excel based models.
• Develop slide decks / presentations and Memorandums to/from DoD Senior Leaders.

Qualifications
Required Qualifications:

• Requires a bachelor’s degree in data analytics or a related relevant field such as economics, biostatistics, business, public health, or data science.
• Must be U.S. citizen and be able to obtain a Public Trust clearance
• Knowledge of the use of Microsoft Office Products and related applications.
• Experience performing advanced statistical methods (identifying and adjusting for distributions, bivariate analysis, regressions of different varieties (linear, logistic, generalized linear)).
• Experience performing advanced Excel functions (Get & Transform, DAX).
• Creative problem-solving ability and a consultancy mind-set.
• Ability to develop strong team and client relationships.
• Experience analyzing medical/pharmacy claims.
• SAS programming experience

Preferred Qualifications:

· Experience analyzing military health data.

· Client-facing experience in a consulting environment.

· Master’s degree in statistics, economics, epidemiology, biostatistics, data analytics, data science or related field.

· Experience analyzing pharmacy claims and pharmacy-specific costs and adjustments (AWP, WAC, member responsibility, ingredient costs, incentives, etc.)

· Experience with machine-learning or decision tree models.

· Experience with other methods of statistical analyses (generalized linear models, difference-in-differences, logistic regression).

Additional Requirements

The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.

• Due to our contractual requirements, to be eligible for this role, you must be fully COVID-19 vaccinated at time of hire.