Data Analyst

Job Summary
We are looking for a Data Analyst to join a contract with a federal government client in support of an important mission. In this role, you will have the opportunity to work with a great team while supporting…
 
This position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone Arsenal.
 
Responsibilities
Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis.
Perform as a technical lead responsible for monitoring and providing monthly contract reports and deliverables.
Responsible for integrating multiple disciplines in an operations research team and translating applicable methods into language and application understandable by operational managers throughout the organization.
Review and provide quality control methods on products.
Prepare and update training materials to ensure newly assigned personnel gain an understanding of key analytic tools, procedures, and methodologies used.
Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience.
Support pattern analysis methods to formulate recommendations to operational managers based upon exploiting patterns in the past, current, and anticipated operational environment.

Education and Experience
4+ years in a technical field
BA/BS in a relevant field is required.

Required Skills
Have experience advising senior DoD decision makers on methodologies, results, and conclusions from applied operations research.
Have experience with the primary tools used for research services include, but are not limited to, Logistics Management Program, Vantage, Virtual Contracting Enterprise, General Fund Enterprise Business System (GFEBS), SAP Business Objects/Web Intelligence Reports, Microsoft SharePoint, Army-specific contract writing systems (Procurement Desktop Defense (PD2) and Procurement Automated Data and Document System (PADDS)), and various Government and Commercial business process automation systems.
Personnel should have strong data manipulation and problem-solving skills.
Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation.
Have good communication skills and problem-solving ability.