Data Analyst Senior

About the role

GDIT is seeking a Senior Data Analyst with military program experience to support our Army Client in modernizing and sustaining fielded medical products, devices, equipment, and systems used on the battlefield. This role utilizes data analytic skills to leverage data to gain insights, improve decision-making, and optimize acquisition reform, stakeholder engagement, logistics, and product authorizations.

Responsibilities

• Provide data analysis to include gathering, cleaning, and preprocessing large datasets from various sources and performing exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement data mining techniques.
• Create and maintain dashboards and reports to communicate data-driven insights to stakeholders.
• Develop compelling data visualizations to illustrate complex data relationships.
• Respond to ad-hoc queries and requests for analysis from business stakeholders by creating custom reports.
• Present findings and recommendations to both technical and non-technical audiences.
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts, to understand data needs and deliver solutions.
• Provide subject matter expertise on data-related issues.
• Contribute to the development and improvement of the organization's data infrastructure and analytics capabilities.
• Conduct work considering measurable performance standards to include accuracy of predictive models, timeliness of reports and analyses, clarity of data visualizations, quality of code, and ad hoc report creation.
• Ability to understand and apply life cycle logistics management concepts and methodology in the development of data visualizations that include data elements related to program planning, budget and execution, wholesale supply system, cataloging, contract administration/procurement, bill of materials, and basis of issue management.
• Participate in special projects as required.

Requirements

• Bachelor's degree in a related field or the equivalent combination of education, professional training, or work experience.
• 5+ years of related data analytics experience.
• Understanding of military, Army, acquisition, procurement, logistics, and fielding (preferably with medical devices/systems or Army Soldier Support programs).
• Experience in conducting data analysis of medical logistics readiness and briefing senior leadership on findings.
• Intermediate experience with Microsoft Office Suite (Word, PowerPoint, Project, Excel, Outlook, and TEAMS).
• Clearable for a T1 Public Trust.
• Exceptional communication, writing, and product management skills for developing documentation and collaborating with diverse teams.
• Adept at cross-functional teamwork and engaging multiple stakeholders.
• Ability to execute using Microsoft Office Suite, Word, PowerPoint, and Excel, as well as Microsoft Outlook.
• US Citizenship required.

Preferred qualifications

• Experience with Global Combat Support System-Army (GCCS-Army), Army Vantage, and other Army logistics systems.
• Experience using Power BI, Tableau, or other similar system and/or ability to learn quickly.

Pay & benefits

• Salary range: $92,392 - $125,000 (set based on experience, geographic location and possibly contractual requirements).
• Comprehensive benefits and wellness packages, 401K with company match, and paid time off.
• Full-flex work week to own your priorities at work and at home.
• Medical plan options (some with Health Savings Accounts), dental plan options, vision plan.
• 401(k) plan with company match (pre and post-tax contributions up to IRS annual limits).
• Paid time off plans including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
• Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance.

Schedule & location

• Hybrid (on-site 3 days a week at Ft. Detrick, MD).
• Travel: Less than 10%.
• Scheduled Weekly Hours: 40.