Data Analyst – TS/SCI Eligible (On-Site)

Akima; Alexandria (VA); On-site; USD 75,000 - 79,000; Full time

Benefits offered by this job

Comprehensive benefits including PTO

Job summary

Suvi, an Akima company, is seeking a data-focused professional to create programs and methods for analyzing and presenting data. You will collect data from various sources, validate its quality, and develop queries to support management and customers.

The role requires interfacing with end-users and data architecture teams to ensure systems meet business needs. Responsibilities include handling routine data tasks under supervision, addressing basic issues, and escalating complex problems.

Qualifications

• Active Top Secret clearance with SCI eligibility.
• Associate’s degree or equivalent experience.
• Minimum 2-4 years in IT field.
• Active IAT Level II certification or equivalent.
• Desirable: CompTIA A+ and Microsoft 365 Desktop Admin certification.

Responsibilities

• Create programs, methodologies and files for analyzing and presenting data.
• Collect data from disparate sources.
• Assess data systems and programs for ad-hoc and standing requests.
• Validate data for completeness and accuracy per guidelines.
• Interface with data end-users and architecture team to meet business needs.
• Develop and execute standard or custom queries or reports.
• May approve or establish user access to data systems.
• Perform work under direct supervision.
• Handle basic issues and refer complex ones to higher-level staff.

Skills

Data analysis

Data presentation

SQL queries

Data quality

Stakeholder interface

Access control

Education

Associate degree or equivalent

Tools

IAT Level II

CompTIA A+

Microsoft 365 Desktop Admin

Job description

Suvi, an Akima company, is seeking a data-focused professional to create programs and methods for analyzing and presenting data. You will collect data from various sources, validate its quality, and develop queries to support management and customers.

The role requires interfacing with end-users and data architecture teams to ensure systems meet business needs. Responsibilities include handling routine data tasks under supervision, addressing basic issues, and escalating complex problems.