Senior Data Analyst — TS/SCI, Spatiotemporal Analytics

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

Benefits offered by this job

Excellent benefits

9/80 work schedule

Paid holiday shutdown

Job summary

AeroVironment in Maryland is seeking a Data Analyst to conceive, develop, mature, maintain, and transition FMI applications and insights from large and complex data. You will leverage data science and modeling, data discovery, collection, curation, and enrichment, software engineering, and spatiotemporal technologies and methods for event detection and validation of I&W methodologies.

Responsibilities include innovative development, data lifecycle management, advanced analytics, and clear

Qualifications

• Bachelor's degree in a technical field (CS/DS/Engineering) required.
• Minimum of five years of dedicated experience in data analysis or data science.
• Professional experience developing and scripting in Python.
• Strong verbal communication skills with proven ability to present complex findings.
• Active TS/SCI with Polygraph.

Responsibilities

• Innovative development: conceive, develop, and transition FMI applications and tradecraft from large-scale data.
• Data lifecycle management: data discovery, collection, curation, and enrichment to ensure high-quality inputs for complex modeling.
• Advanced analytics: apply data science and modeling to improve event detection and validation of I&W frameworks.
• Spatiotemporal analysis: apply spatiotemporal technologies to track geographic and time-based data patterns.
• Stakeholder communication: translate complex findings into clear status reports and presentations for mission partners and leadership.

Skills

Python

Data analysis

Verbal communication

Education

Bachelor's degree in a technical field

Tools

Splunk

Job description

AeroVironment in Maryland is seeking a Data Analyst to conceive, develop, mature, maintain, and transition FMI applications and insights from large and complex data. You will leverage data science and modeling, data discovery, collection, curation, and enrichment, software engineering, and spatiotemporal technologies and methods for event detection and validation of I&W methodologies.

Responsibilities include innovative development, data lifecycle management, advanced analytics, and clear