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Data Analyst - GEOINT SME
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$79,165 / year median in Ohio
+12% projected growth
Job Description
Data Analyst
- GEOINT SME Everforth ECS
- 3.0 Dayton, OH Job Details $110,000
- $135,000 a year 9 hours ago Qualifications Spatial analysis Data visualization software proficiency Mapping software Redmine Bachelor's degree Requirements analysis SharePoint Business requirements Project stakeholder communication Editing Cross-functional communication Stakeholder management Full Job Description Everforth ECS is seeking a Data Analyst, GEOINT Technical Subject Matter Expert (SME) , to work at our Dayton, OH customer site.
Note:
This position is contingent upon contract award and final acceptance by government customer. Data Analyst
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GEOINT Technical SME Work Role:
The Data Analyst work role encompasses a comprehensive skill set focused on leveraging data to enhance organizational performance, ensure security, and drive strategic decisions. This includes the technical depth of integrating, developing, and maintaining analytic models, visualizations, and tools specifically designed to deter, detect, and mitigate insider threats by identifying anomalous events. A core function is the application of industry-standard data science principles to develop and sustain risk scoring tools and other data analytics implementations while supporting system integrity by capturing and analyzing metrics on system errors, failures, and data transfers. Complementing this technical expertise is the breadth of business analysis, which involves collaborating with project requesters, stakeholders, and managers to refine project requests and clarify business objectives. These professionals use data analytics to derive actionable business insights, draw logical conclusions, develop forecasts, identify organizational inefficiencies, and ultimately recommend and implement strategies to improve overall performance.
Duties May Include:
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 datasets into compelling, 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 materials, ensuring they convey a consistent message. Other Duties as assigned.
Salary Range:
$110,000-135,000
General Description of Benefits Requirements:
U.S. Citizenship Bachelor's Degree in Data Science, Statistics, Business, or a related field Active TS/SCI with ability to pass CI Poly At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, Arc
IMS, ERDAS
Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker Strong problem-solving and decision-making capabilities, with a proven ability to weigh the relative costs and benefits of potential actions and identify the most appropriate solution Highly developed interpersonal and oral/written communication skills, with the ability to effectively and professionally interact with a diverse set of stakeholders (from peers to end-users to executive management) 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 Demonstrated coding experience to support writing scripts with tools such as, but not limited to, Java and Python Demonstrated ability to use SharePoint, Tableau, Redmine , and other systems/databases to manipulate and build data visualizations
Req Benefits:
Benefits
- Everforth ECS