Pattern Analyst - National Security Geospatial (Hybrid)

Relx Plc; Washington (District of Columbia); On-site; USD 105,000 - 175,000; Full time

Job summary

LexisNexis Special Services Inc. (LNSSI) seeks a Pattern Analyst to translate complex data into actionable findings for government and operational teams in the Washington, DC area.

You will apply advanced analytical methods to identify patterns across counterterrorism, law enforcement, and national security missions. The role requires initiative, judgment, and collaboration with multidisciplinary teams, delivering briefings and training while maintaining subject matter expertise in relevant

Qualifications

• Bachelor’s degree or equivalent in a relevant field.
• 3–5 years of analytical, investigative, intelligence, or data-driven mission support experience.
• Ability to obtain CJIS certification and LexisNexis SME certification.

Responsibilities

• Analyze diverse data sources to identify patterns, relationships, trends, and indicators of nefarious activity.
• Transform and analyze raw data to produce actionable findings for missions.
• Develop tailored analytical products using visualizations and briefings.

Skills

Data analysis

Geospatial analysis

Data visualization

Python

Communication

Teamwork

Education

Bachelor’s degree in data science, criminal justice, intelligence analysis, geography, computer science, or related field

Master’s degree (preferred)

Tools

LexisNexis Accurint Trax

ESRI ArcGIS/ArcPro

i2 Analyst’s Notebook

Python

Anaconda

Jupyter Notebook

Job description

LexisNexis Special Services Inc. (LNSSI) seeks a Pattern Analyst to translate complex data into actionable findings for government and operational teams in the Washington, DC area.

You will apply advanced analytical methods to identify patterns across counterterrorism, law enforcement, and national security missions. The role requires initiative, judgment, and collaboration with multidisciplinary teams, delivering briefings and training while maintaining subject matter expertise in relevant