Data Analyst – Data Scientist 3

Role Overview

• Provide timely and accurate data analytics, metrics, and insights to support data-driven decision-making and mitigate supply chain risks.
• Analyze structured and unstructured data to identify patterns, trends, correlations, and anomalies.
• Support entity extraction, disambiguation, and data transformation using advanced analytical tools and methodologies.
• Develop data visualization products and dashboards to convey complex analytical findings in clear, actionable formats.
• Contribute to Common Operating Picture (COP) and Critical Infrastructure Protection (CIP) solutions through data integration and visualization.
• Identify analytical problem sets, emerging threat trends, and stakeholder requirements for enhanced capabilities.
• Apply data science skill sets to develop analytical solutions that address customer needs and mission priorities.
• Conduct risk assessments related to supply chain vulnerabilities and adversarial threats targeting industry IT systems.
• Collaborate with customers and cross-functional teams to refine requirements and deliver mission-focused analytic support.
• Ensure high-quality, accurate, and well-documented analysis in all outputs.

Requirements

• Level 3: 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.
• Level 4: 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience.
• Level 5: 15 years relevant experience with Bachelors in related field; 13 years relevant experience with Masters in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience.
• Experience analyzing structured and unstructured datasets.
• Proficiency with analytical tools and platforms (examples provided on request).
• Ability to develop visualizations and dashboards that effectively convey analytical results.
• Experience applying data science concepts such as pattern analysis, anomaly detection, and correlation analysis.
• Strong problem-solving skills and ability to identify emerging analytical challenges and threat trends.
• Understanding of supply chain risk, cyber threats, or IT system vulnerabilities (desired but can be trained).
• Strong written and verbal communication skills, including the ability to translate complex data into clear insights.
• Ability to work independently and collaboratively in a fast-paced, mission-driven environment.

Benefits

• best-in-class medical, dental and vision plan choices
• wellness resources
• employee assistance programs
• Savings Plan Options (401(k))
• financial planning tools
• life insurance
• employee discounts
• paid holidays
• paid time off
• tuition reimbursement
• early childhood and post-secondary education scholarships