Senior Data Analyst, DoD Enterprise Analytics Lead

Gritter Francona; Falls Church (VA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & PL

Short Term & Long Term Disability

Training & Development

Job summary

Gritter Francona in Falls Church, VA is seeking a Sr Data Analyst to support a new project assessing a service member’s fitness for duty and eligibility for separation or retirement due to disability. You will work within a DoD-regulated data environment to translate complex data into actionable insights.

Ideal candidates have a degree in IT, multiple certifications, and 6+ years in analytics with data frameworks experience, plus leadership experience overseeing staff.

Qualifications

• Bachelor's degree in information technology related field.
• Certification in data analytics (Google Data Analytics, Microsoft, Tableau, AWS or CAP) required.
• 5+ years’ experience supervising or overseeing personnel.
• 6+ years’ experience with systems and/or business analytics.
• 3+ years’ experience with identifying data frameworks.
• Experience integrating system-level data requirements into enterprise architectures meeting DoD regulations preferred.

Responsibilities

• Support a new project to determine service member fitness for duty and eligibility for separation or retirement due to disability.

Skills

Leadership

Data analytics

Data frameworks

Regulatory / DoD environment

Education

Bachelor's degree in information technology related field

Tools

Google Data Analytics Professional

Microsoft Certifications

Tableau

AWS

CAP

Job description

Gritter Francona in Falls Church, VA is seeking a Sr Data Analyst to support a new project assessing a service member’s fitness for duty and eligibility for separation or retirement due to disability. You will work within a DoD-regulated data environment to translate complex data into actionable insights.

Ideal candidates have a degree in IT, multiple certifications, and 6+ years in analytics with data frameworks experience, plus leadership experience overseeing staff.