Data Analyst

About the role

Duties include performing complex system testing, analyzing time-series data, developing interactive visualizations, collaborating with teams, debugging tools, operating test equipment, supporting local and field testing, writing technical reports, and assisting in defining system requirements.

Responsibilities

• Perform progressively complex experience testing of mechanical, electromechanical, and electronic systems.
• Apply statistical analysis to time-series data to characterize system performance.
• Develop and operate QuickLook tools for immediate data reviews.
• Conduct tests in both benign and GPS threat environments, and operate GPS simulators.
• Support local testing activities and field test events, including setting up equipment and troubleshooting.
• Write technical reports and brief results to external stakeholders.
• Identify and solve business problems using data analysis.

Requirements

• Detail-oriented with strong technical, verbal, and written communication skills.
• Ability to think critically and apply analytical methodologies to raw data.
• Proficiency in Python, SQL, Excel, and statistical programming languages (preferred).
• Ability to interpret data, identify patterns, and draw conclusions.
• Ability to clearly communicate findings to both technical and non-technical audiences.
• Bachelor’s degree required, with at least 4 years of relevant experience.
• Active Secret clearance required.

Qualifications

• Must have the ability to think critically and apply analytical methodologies to raw data.
• Must be able to clearly articulate analysis through both oral and written communication.
• Must have proficiency in Python, SQL, Excel, and potentially statistical programming languages (preferred).
• Must have the ability to interpret data, identify patterns, and draw conclusions.
• Must have the ability to clearly communicate findings to both technical and non-technical audiences.
• Must have the ability to use data analysis to identify and solve business problems.

Skills

Preferred skills include proficiency in Python, SQL, Excel, and statistical programming languages. Must have the ability to think critically and apply analytical methodologies to raw data, and the ability to clearly articulate analysis through both oral and written communication.

Benefits

Includes Paid Time Off (PTO), 11 Paid Holidays, 401(k) matching, medical, dental, and vision benefits, life insurance, AD&D, and short-term and long-term disability. Professional growth opportunities are also available.

Pay

$80,000.00 - $125,000.00, annually. This is not a guarantee of compensation or salary. Final offer amount may vary.

Schedule

This is a full-time position, Monday through Friday. Flexibility around core hours is possible, with travel outside of normal core hours expected.