Data Analytics SETA at SAIC

Chantilly, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Systems Engineer, Technical Assistant, IT, Network, Hosting, Desktops, Quantitative Methods, Python, SQL, R, Statistical Analysis, Data Pipelines, Dashboarding, Tableau, Splunk

Industry

Defense and Space Manufacturing

Description

JOB DESCRIPTION: SAIC is seeking an experienced Data Analytics based Systems Engineer and Technical Assistant (SETA) for a position supporting a US Government customer in the Chantilly, VA area. The successful applicant will possess strong data analysis experience and broad information technology (IT) experience, e.g. network, hosting, desktops. As a SETA advisor, candidates will be required to demonstrate value-added judgment, and advise the government on various program activities, including advising on emerging technologies that may be beneficial for exploration by the government. The successful candidate will produce recommendations and deliverables in a thorough, practicable, and consistent manner congruent with the organization's objectives associated with IT infrastructure provisioning. RESPONSIBILITIES: The successful candidate must be able to: Demonstrate their background in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, etc.) Demonstrate their ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods. Demonstrate their familiarity with data analysis programming, ideally with Python, SQL, or R. Demonstrate their ability to deliver data analytics to include, but not limited to statistical analysis, data queries, data pipelines, data presentation, and dashboarding. Demonstrate excellent communication and problem-solving skills used for articulating service requirement gaps and formulating approaches to resolve those gaps. Provide specific, detailed information for selection, implementation techniques, and tools required implementing approaches that efficiently meet business needs. Design analytical visualizations via custom dashboards through a collaborative process with other Data Science and Analysis staff. Work with service providers and product management to implement innovative analytic and visualization approaches to solve real-world problems. Oversee and prioritize data analytics tasks to ensure their timely and accurate completion. Operate proactively to prioritize tasks and lead the coordinated execution of project engagements to ensure their timely and accurate completion without direct leadership oversight and/or participation. Proactively perform as an organized and dedicated change agent, core to ensuring quality assurance while assisting the culture shift toward standardized IT service deliveries. REQUIREMENTS: Must be a US Citizen. Within a STEM field of study: Bachelors in a STEM related field and five (5) years or more relevant experience; Masters in a STEM related field and three (3) years or more relevant experience. Must possess and maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with current Poly. Proficiency in ServiceNow analytics and dashboard creation. Broad experience with IT, e.g. networks, hosting, desktops as well as experience with IT architecture. Experience using Splunk. Experience with visualization tools like Tableau. Experience with data analytics tools such as Python, R, Jupyter Networks, and Anaconda. Familiarity with configuration management databases and their associated schema.

Responsibilities

The successful candidate will advise the government on various program activities, including emerging technologies, and produce recommendations and deliverables related to IT infrastructure provisioning congruent with organizational objectives. Responsibilities include demonstrating quantitative background, breaking down complex business problems, delivering data analytics (statistical analysis, queries, pipelines, dashboarding), and overseeing data analytics tasks.