top of page

Katmai Government Services-3

General Info




Military Experimentation Data & Visualization Analyst


About the Company

WHO ARE WE? Katmai is a wholly owned subsidiary of the Ouzinkie (you-ZINK-ee) Native Corporation (ONC). The majority of ONC Shareholders who live in Ouzinkie are lifelong residents of the village of Ouzinkie, Alaska. The people of Ouzinkie are Alutiiq (a-LOO-tik) by ancestry, meaning they are a group of Native Alaskans who have made their home in and around the coastal areas of Kodiak Island in the Gulf of Alaska for the past 7,000 years. Working for Katmai means promoting the cultural and economic stability of one of Alaska’s great indigenous peoples.

Katmai was initially formed in 2007 by ONC to hold and manage its interests in companies and joint ventures which contract with the US Federal Government. KGS is charged with producing profits through the acquisition and successful management of US Federal contracts or other commercial efforts, which are distributed to ONC. ONC, an Alaska native village corporation, determines how to distribute those profits such that they benefit ONC Shareholders.

HOW IS “KATMAI” PRONOUNCED? Katmai is pronounced “KAT-my.” Although the company’s full name is “Katmai Government Services” (or KGS), the organization is referred to as simply “Katmai.” The name “Katmai” derives from an early Native settlement located near present-day Katmai National Park and Preserve that was abandoned after the Novarupta volcano erupted in 1912, forcing many locals to move across the ocean strait to establish what is now the current community of Ouzinkie. Katmai is thus seen as an important ancestral home for many of the people of Ouzinkie.

About the Role


Provides experimentation and operations support to Experiments Division (ExDiv.) with regards to Data & Visualization support to inform the combat development process.


Common Experiments Division Technical and Functional Support tasks include, but are not limited to the following:

Participate in and report on site surveys and other planning events.
Serve as observer/controllers, watch officers, data collectors and in other support billets during training and execution of live-force experiments.
Collect, record, analyze and interpret the events occurring in live-force experiments or simulations to include wargames.
Participate in the data reduction, analysis and assessment of information taken from experiments.
Participate in and support the construction, production and delivery of briefs, reports of any type, presentations and conferences to review experiment findings.
Plan the development of process, procedures, design, coordination and execution of User Evaluations (UE), Limited Technical Assessments (LTA), Limited Objective Experiments (LOE), MAGTF Integrated Experiments (MIX), Advanced Naval Training Exercises (ANTX), Advanced Warfighting Experiments (AWE) and other experiments.
Create DOTMLPF recommendations in writing and edit interim and final reports on UEs, LTAs, LOE's, MIXs, ANTXs, AWE's and letters of instruction for experiment execution.
Support working groups, operational planning teams and other designated efforts with administration, organization, and facilities.
Review information papers and other briefs/documents as required to support experiment efforts.
Coordinate with the Futures Analysis Cell and Experiment Design Cell at MCWL/FD to provide input for the Data Collection and Analysis Plan (DCAP) for specific experiments.
Provide risk assessments and recommendations during planning and execution of experiments.
Specific Data & Visualization support tasks include but are not limited to the following:

Assists project officers in using specific models that enable users to consider a wide range of potential options to a given problem in a short period of time. Models required are generally mathematical; however, on occasion, concepts are subjective and require qualitative data analysis. Collection efforts consist of spreadsheet format(s) with input elements designed to allow for use by project officers of any background. Current operating tools are: Python, R Studio, Microsoft Visual Studio Code, Excel, SharePoint libraries and List.
Conduct research as required to determine values of data needed by the model(s).
Prepare technical and non-technical briefs and papers to explain the approach used and the results of the model(s).
Maintain a repository of models, data bases, scenarios, and data mined from previous studies that are available for review and for use in future studies and experimentation.
Support the Experiment Design Cell with Data & Visualization support to enhance experiment planning.
Data & Visualization Support, not limited to the following:
Maintain and exercise the ability to independently operate software systems employed by and available to the branch to include, but are not limited to, Microsoft Visual Studio Code, Microsoft Power Apps (data collection), SharePoint Online, Power Automate and Power BI.
Provide for system operation support to the command in support of assigned tasks.
Instruct and supervise novice uses in the operations and employment of simulation systems employed by the Ex-Div. branch.
Maintain regular and punctual attendance.
Other duties as required.


Military Education: Commensurate to experience.
Must possess working knowledge of the Marine Corps, its missions and structure.
Demonstrated subject matter expertise with Modeling and Simulation and Simulation Operations.
Must have an intermediate knowledge of the Microsoft Office suite.
Must obtain and maintain a valid TOP SECRET Sensitive Compartmented Information (TS/SCI) security clearance.
Must obtain and maintain any necessary security access and/or background checks.

Civilian Education: Bachelor's degree preferred.
Excellent oral and written communications skills.
Must be able to work independently with little or no supervision, be exceedingly well organized, flexible.
Strong organizational skills and detail oriented
Ability to multi-task.
Demonstrated ability to perform diverse duties under operating and deadline constraints.
Demonstrates accuracy and thoroughness; monitors own work to ensure quality.

The expected travel time is less than 25%.

Must have or be able to attain a valid state driver’s license and be insurable on the company’s automobile insurance policy.
Driving, with or without accommodation, may be required when traveling for training and/or short occasional amounts of local driving. The expected driving time is less than 25%.

bottom of page