Senior Data Analyst for DoD Fitness-for-Duty Analytics

Gritter Francona; Washington; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health Plan (Medical, Dental & Vision)

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary & AD&

Paid Time Off (Vacation, Sick & Public

Short Term & Long Term Disability

Training & Development

Job summary

Gritter Francona in Washington state is seeking a Senior Data Analyst to support a new project that manages data for determining a service member’s fitness for duty and eligibility for separation or retirement due to disability.

The role requires a Bachelor’s degree in information technology, relevant data analytics certifications, and 5+ years of supervisory experience, plus 6+ years in systems/business analytics and 3+ years identifying data frameworks.

Qualifications

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

Responsibilities

• Support a potential project determining a service member’s fitness for duty and eligibility for separation or retirement due to disability.

Skills

Data analytics

System analytics

Education

Bachelor's degree in information technology related field

Tools

Google Data Analytics

Microsoft certifications

Tableau

AWS

CAP

Job description

Gritter Francona in Washington state is seeking a Senior Data Analyst to support a new project that manages data for determining a service member’s fitness for duty and eligibility for separation or retirement due to disability.

The role requires a Bachelor’s degree in information technology, relevant data analytics certifications, and 5+ years of supervisory experience, plus 6+ years in systems/business analytics and 3+ years identifying data frameworks.