Data Analyst - TS/SCI Poly | Spatiotemporal Analytics

InvestedintheMission; Maryland; On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401K with company match

9/80 schedule

Paid holidays

Job summary

AeroVironment is seeking a Data Analyst to conceive, develop, mature, and transition FMI applications and insights from large, complex data. You will apply data science, modeling, data discovery, and spatiotemporal methods to support event detection and validation of I&W methodologies for mission partners.

Responsibilities include leading data lifecycle activities, building high-quality inputs for advanced analytics, and communicating findings clearly to leadership.

Qualifications

• Bachelor’s degree in a technical field (CS, Data Science, Math, Eng)
• Minimum of five (5) years of dedicated experience in Data Analysis or Data Science
• Professional experience developing and scripting in Python
• Strong verbal communication skills with ability to present complex findings
• Active TS/SCI with Polygraph

Responsibilities

• Innovative Development: Conceive, develop, and transition novel FMI applications and tradecraft derived from large-scale data environments.
• Data Lifecycle Management: Lead data discovery, collection, curation, and enrichment for high-quality modeling inputs.
• Advanced Analytics: Use data science and modeling to improve event detection and validation of I&W frameworks.
• Spatiotemporal Analysis: Apply spatiotemporal techniques to track geographic and time-based patterns.
• Stakeholder Communication: Translate findings into clear status reports and presentations for mission partners and leadership

Skills

Python

Data analysis

Communication

TS/SCI with Polygraph

Education

Bachelor’s degree in technical field

Tools

Splunk

Job description

AeroVironment is seeking a Data Analyst to conceive, develop, mature, and transition FMI applications and insights from large, complex data. You will apply data science, modeling, data discovery, and spatiotemporal methods to support event detection and validation of I&W methodologies for mission partners.

Responsibilities include leading data lifecycle activities, building high-quality inputs for advanced analytics, and communicating findings clearly to leadership.