Data Analyst with Security Clearance

Bright Star Solutions LLC; Sterling (VA); Ibrido; USD 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

Bright Star is seeking an experienced Data Analyst to support a federal sensor technology program. This full-time, hybrid role focuses on processing, analyzing, and interpreting geophysical sensor data collected from seismic, acoustic, and electromagnetic systems deployed in operational environments.

You will apply geophysical knowledge and data science techniques to help detect anomalies, build robust data pipelines, and present findings to both technical and non-technical stakeholders in a

Competenze

• Bachelor’s degree in Geophysics, Physics, Earth Science, Data Science, Computer Science, Mathematics, Engineering, or related field.
• 2+ years of experience working with sensor or geophysical data in an applied setting.
• Proficiency in a scripting language or tool for data processing and analysis.
• Familiarity with signal processing concepts (filtering, spectral analysis, time-series analysis).
• Experience with data visualization tools (e.g., Matplotlib, Plotly, Tableau).
• Ability to obtain and maintain a federal background investigation.
• Strong written and verbal communication skills; comfortable presenting findings to stakeholders.

Mansioni

• Process and analyze data from geophysical sensing systems, including seismic, acoustic, and electromagnetic sensors.
• Perform signal processing and noise reduction on sensor data to support detection and characterization workflows.
• Develop and maintain data pipelines for ingesting, cleaning, and structuring sensor datasets.
• Build visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders.
• Support geophysical data interpretation and anomaly detection using statistical and data science approaches.
• Collaborate with engineers, scientists, and federal clients to refine data collection and analysis methods.

Conoscenze

Geophysics

Signal processing

Data processing

Data visualization

Formazione

Bachelor’s degree in Geophysics or related field

Strumenti

Python

Matplotlib

Plotly

Tableau

SeisWare

OpendTect

Descrizione del lavoro

About Bright Star

Bright Star is a forward-thinking technology consultancy that specializes in harnessing the power of data and AI to solve complex business challenges. Our team of experts combines deep technical expertise with strategic insight to deliver innovative solutions that drive meaningful impact for our clients.

Role Description

Bright Star is recruiting an experienced Data Analyst to support a federal sensor technology program. This position is full-time and hybrid. This role will work closely with the program team to process, analyze, and interpret data generated by geophysical sensing systems deployed in operational environments. This role offers a unique opportunity to apply applied geophysical and data science skills to high-impact federal operations — working at the intersection of sensor physics, signal processing, and data analytics in support of real-world mission outcomes.

Key Responsibilities

• Process and analyze data from geophysical sensing systems, including seismic, acoustic, and electromagnetic sensors
• Perform signal processing and noise reduction on sensor data to support detection and characterization workflows
• Develop and maintain data pipelines for ingesting, cleaning, and structuring sensor datasets
• Build visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders
• Support geophysical data interpretation and anomaly detection using statistical and data science approaches
• Collaborate with engineers, scientists, and federal clients to refine data collection and analysis methods

Required Qualifications

• Bachelor’s degree in Geophysics, Physics, Earth Science, Data Science, Computer Science, Mathematics, Engineering, or related field
• 2+ years of experience working with sensor or geophysical data in an applied setting
• Proficiency in a scripting language or tool for data processing and analysis
• Familiarity with signal processing concepts (filtering, spectral analysis, time-series analysis)
• Experience with data visualization tools (e.g., Matplotlib, Plotly, Tableau)
• Ability to obtain and maintain a federal background investigation
• Strong written and verbal communication skills; comfortable presenting findings to stakeholders

Preferred Qualifications

• Experience with seismic, acoustic, or ground-penetrating radar (GPR) data
• Proficiency in Python, SQL, and/or Excel for data analysis and reporting
• Familiarity with geophysical processing software (e.g., SeisWare, OpendTect, Kingdom)
• Experience supporting federal government programs or defense/security contractors
• Knowledge of machine learning techniques applied to sensor data classification or anomaly detection
• Active DHS or CBP Background Investigation