About Tier Tech International, Inc.

Tier Tech International, Inc. (TTI) is a Service-Disabled Veteran Owned Small Business (SDVOSB) with world-class, professional, and dedicated program and project leaders with decades of real-world emergency preparedness and response, exercise and training, policy, and operational experience, supporting most U.S. Government response organizations. Our program operations, planners, and experts provide the complete life cycle of requirements determination, capability-based assessments, CWMD planning, programming, COOP, and execution of recommendations for closing operational gaps. We innovatively train Federal, State, and local responders from the classroom, field, or with computer-based training programs. Our executive staff and field operations teams include senior policymakers, analysts, nationally recognized CWMD and exercise experts, and professional counterterrorism/special operations personnel. TTI was established in 2003 and has locations around the globe.

What you'll do

• Analyze and interpret training and program data to support leadership decision-making.
• Collect, validate, and manage data from multiple sources.
• Develop reports, dashboards, metrics, and trend analyses.
• Conduct statistical analysis and identify patterns, gaps, and opportunities.
• Support certification and accreditation compliance through accurate documentation.
• Evaluate quality reviews, process audits, and instructor/customer feedback.
• Maintain databases, records, and data standards.

You are a good fit if you are:

• A detail-oriented analyst who enjoys turning complex data into meaningful insights that improve training programs and organizational performance

Desired Qualifications

• Strong written and verbal communication skills.
• Experience with Excel (advanced formulas, PivotTables).
• Ability to build queries, analyze large datasets, and develop meaningful reports.
• Strong organizational and problem-solving skills.
• Self-motivated with the ability to work independently in a remote environment.
• Ability to manage multiple priorities in a fast-paced, data-driven workplace.

 Education and Experience

• 2 - 4 years' Data Analysis experience