
location_onHill Township, Pulaski County, Arkansas, United States
ASRC Federal is a leading government contractor furthering missions in space, public health, and defense. As an Alaska Native-owned corporation, our work helps secure an enduring future for our shareholders. We are proud to be a top veteran employer and a Certified Great Place to Work.
ASRC Federal Agile Decision Sciences LLC is seeking a Data Analyst Senior to support the U.S. Army's data-driven decision environment under the CECOM SETA Program. In this role, you will be instrumental in designing, developing, and maintaining Army Vantage dashboards, data pipelines, and analytics products that support readiness, sustainment, and enterprise modernization. You will collaborate within Agile teams to deliver analytic solutions that directly align with critical mission needs, presenting complex findings and trends to leadership through advanced visualization techniques.
This is a remote position with East Coast hours. Candidates must be U.S. based and possess an active DoD Secret clearance or higher; candidates without a minimum of a Secret clearance will not be considered. U.S. citizenship is required.
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.
Work model: Remote
Hill Township, Pulaski County, Arkansas, United States
Hill Township, Arkansas
Experience with GFEBS, GCSS-Army, or other Army enterprise systems. Familiarity with DevSecOps and Agile collaboration. Advanced data modeling and ETL design skills.
ASRC Federal • Remote
ASRC Federal • Remote
ASRC Federal • Macon, Georgia
Skills: Power Bi, Tableau, SQL, Etl, Agile, Devsecops, Data Modeling, Data Analysis, Gfebs, GCSS-Army.
Education: Bachelor's degree required with 5+ years of data analytics experience.