Data Jobs in Springfield, VA

1 job found

Include remote jobs

1mo ago

Data Analyst - GEOINT Technical SME

SAIC Springfield, VA

Springfield, VA

1mo ago

Full time Analyst Analytics ArcGIS

Apply Now

Job Description

SAIC offers an on-site opportunity to apply advanced analytics in support of critical security and business objectives. As a Data Analyst - GEOINT Technical SME, you will collaborate with stakeholders to clarify requirements, develop and maintain analytic models, and transform data into actionable insights, onsite at the customer site in Springfield, VA.

Responsibilities

Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques.
Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals.
Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency.
Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures.
Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams.
Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring.
Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message.

Requirements

Education: A minimum of a Bachelor’s Degree in Data Science, Statistics, Business, or a related field
Experience: 6+ years proven experience integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. Experience developing data analytics and visualizations using standard data science practices. In lieu of a degree, 10+ years of experience
Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies
Experience in collaborating with stakeholders to clarify project needs and business objectives
Familiarity with the concepts of analytical model development and maintenance
Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment
Proficiency in creating and editing visual content such as charts and graphs to represent data
At least 12 months demonstrated experience in Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, plus related software
Demonstrated coding experience to support writing scripts with tools such as Java and Python
Demonstrated ability to use SharePoint, Tableau, Redmine, and other systems/databases to manipulate and build data visualization

Technologies

ArcView
ArcGIS
Remote View
ArcIMS
ERDAS Imagine
Macromedia Dreamweaver
Macromedia Fireworks
Photoshop
HTML
FrameMaker
Java
Python
SharePoint
Tableau
Redmine

Desired Skills

Experience supporting insider threat, risk scoring, or similar security-focused analytics programs
Experience with policy development or process improvement initiatives
Familiarity with GEOINT analysis software or customer-specific applications

View full job page →

Get Job Alerts

New jobs delivered to your inbox.