Remote Data Insights Analyst – Training Programs

Tier Tech International, Inc.; McLean (VA); Remote; USD 75,000 - 85,000; Full time

Job summary

Tier Tech International, Inc. seeks a data analyst to analyze and interpret training and program data to support leadership decisions. You will collect, validate, and manage data from multiple sources and develop reports and dashboards to track performance.

You will perform statistical analyses, identify patterns and gaps, and contribute to accreditation documentation. A remote-friendly environment supports independent work and data-driven improvements.

Qualifications

• Strong written and verbal communication skills are required.
• Experience building and maintaining dashboards and reports.
• Ability to analyze large datasets and present findings clearly.

Responsibilities

• 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.
• Create actionable recommendations to improve program performance.
• Maintain databases, records, and data standards.

Skills

Strong written and verbalcommunication

Data analysis

Problem solving

Attention to detail

Education

Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience

Tools

Excel

PivotTables

Power BI

Tableau

Python

Job description

Tier Tech International, Inc. seeks a data analyst to analyze and interpret training and program data to support leadership decisions. You will collect, validate, and manage data from multiple sources and develop reports and dashboards to track performance.

You will perform statistical analyses, identify patterns and gaps, and contribute to accreditation documentation. A remote-friendly environment supports independent work and data-driven improvements.