DutiesHelp
Provides direct support to the Deputy Director, Chief Information Officer (CIO) in the application of fact-finding and investigative techniques, data analytics, forecasting, statistical and data modeling, statistical methods and techniques and theory, statistical software and computer programs to perform computer analysis of statistical data and finding, programming languages and integrating multiple systems through coding. Additionally, provide indirect support to the Chief Executive Officer (CEO) for special projects at the CEO's discretion. Ability to communicate findings both orally and in writing to Executives and the CEO/Director, Business and Support Services Division. Assists the CPO, CAO as a key facilitator and data relationship manager to the Regional and Installation Community and MCCS leadership, to understand business requirements and align financial analyses with strategic objectives.
Serves as a recognized expert, coordinating the flow of information from and to Deputy Director CIO and CEO/Director Business and Support Services (MR), with regard to installation or regional combined alignment efforts for developing, coordinating, integrating and implementing business analytics and artificial intelligence solutions into effective and efficient business operations in full compliance with Department of War (DoW), Department of Navy (DoN), and Office of the Secretary of Defense (OSD) policies, plans and programs. Conducts briefings to inform and advise MCCS leadership of emerging issues and current efforts of critical issues or anticipated problems.
Coordinates on the preparation of information/briefings/presentations for use by MR Deputies and other senior management officials. Prepares briefings, reports, or other necessary documentation to update leadership on MCCS operations. Prepares written responses to external inquiries on MCCS operations. This may include Congressional inquiries, taskings, and other work required by the Deputy Director CIO and CEO/Director Business and Support Services (MR).
Statistical Data Analysis:
- Apply advanced statistical techniques and models.
- Use statistical models to forecast sales, demand, and inventory needs.
- Conduct sensitivity analysis, scenario planning, and risk assessment to support strategic decision-making.
- Collaborate with marketing and business operations directorates to develop pricing strategies and optimize promotional activities.
- Collaborate with peer data scientist in financial management directorate to support required efforts, plans, and analysis.
- Identify key financial and operational business indicators and develop meaningful reports and white papers to facilitate decision-making.
Illustrations of the types of work to be performed include:
- Advising on the potential benefits/uses of automation to improve the efficiency of business operations;
- Analyzing a variety of data sources to provide data-driven insights to the enterprise to streamline processes;
- Analyzing and evaluating the effectiveness of line program operations in meeting established goals and objectives;
- Applying a combination of computational and machine learning methods
- Combining, analyzing, and interpreting large and/or complex data sets to develop data- driven organizational solutions;
- Conducting data extraction by using computer programing without preset specifications;
- Conducting in-depth analysis of data and disseminating the results of those analyses;
- Conducting regression analysis, statistical analysis, modeling, machine learning, data engineering, mathematical programming, auto coding and data visualization;
- Defining useful measurements for specific purposes;
- Determining the best and most efficient ways to collect quantitative information;
- Developing life cycle cost analyses of projects or performing cost benefit or economic evaluations of current or projected programs;
- Developing statistical software and computer programs to perform analysis of statistical data and findings;
- Establishing procedures for data storage and retrieval;
- Establishing systems of classification and coding;
- Exploring data using various means available to find insights and trends that may go undiscovered in traditional research;
- Identifying data required for use in the management and direction of programs;
- Planning data dissemination systems;
- Planning, organizing, and overseeing the operation of a survey;
- Preparing reports using machine learning, programming, and data visualization skills to present organization findings;
- Using existing and new data sources to extract new information and convey that information according to the audience to the data;
- Using spatial data types to conduct analysis.
May work a fluctuating work schedule to complete work assignments outside of the typical work week and work hours. May travel to complete work assignments.
RequirementsHelp
Conditions of employment- See Duties and Qualifications
EVALUATIONS:
QualificationsTen (10) years of executive experience leading enterprise-scale data and analytics organizations or programs, demonstrated experience establishing and operating enterprise data governance, demonstrated experience applying advanced analytics, artificial intelligence, predictive analytics, or related capabilities
Theworkrequiresknowledgeof,orskillsandabilitiesrelatedbutnotlimitedtothe following:- Algorithms
- Application of fact-finding and investigative techniques
- Artificial intelligence
- Big data principles
- Communicate findings both orally and in writing
- Computer science
- Data analytics
- Data modeling
- Data governance
- Data visualization
- Machine learning
- Mathematics
- Optimization Methods
- Programming languages
- Simulation
- Statistical methods and techniques
Strong understanding of statistical concepts and methodologies is crucial. Proficiency in statistical techniques such as regression analysis, time series analysis, hypothesis testing, experimental design, and multivariate analysis is required.
Proficiency in programming languages commonly used for statistical modeling is essential. This may include languages such as R, Python, STATA or SAS. Knowledge of data manipulation, visualization, and modeling packages/libraries.
Knowledge of business operations, specifically retail operations, and theories, principles, and practices to complete difficult assignments relative to planning, developing and implementing strategies throughout Marine Corps Exchanges, Marine Corps Hospitality Services, and Marine Corps Community Services.
The ability to think critically, propose creative solutions, and adapt modeling approaches to different scenarios is highly valued.
Exhibits knowledge of the MCCS mission, functions, and programs to provide expert advice and guidance on strategies and the impact to initiatives of legislation, policies, regulations, procedures, processes, systems, and business partners have on the implementation and relationship to Marine Corps, DoD activities and private industry.
BenefitsHelp
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
The Federal government offers a number of exceptional benefits to its employees. Benefits you get to enjoy while working at MCCS include but are not limited to:
• Stability of Federal Civilian Service
• People with passion for doing work that matters
• Quality of Work Life Balance
• Competitive Pay
• Comprehensive Benefit Packages
• Marine Corps Exchange and Base Facility Privileges
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
