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Posted 20 days ago
Job description
4 openings: 12 Months: Secret clearance (Investigation within 5 years) $45
Required Hard Skills
Large file data movement and transfer operations
Secure file transfer protocols
Network-based data transfer monitoring
Linux or Unix file system navigation
Data transfer logging and status tracking
Data integrity verification following transfer
Multi-site data distribution
Basic Qualifications
Bachelor's degree from an accredited college in a related discipline
4+ year experience working with data transfer, data operations, or technical systems.
4+ years managing large datasets and high-volume file transfers.
Desired Skills
Experience supporting flight test or engineering data environments.
Familiarity with secure networks and technical data systems.
Experience working in Linux-based environments.
Key Responsibilities
Perform daily data movement of flight test data across multiple test sites and data repositories.
Monitor large data transfers across network connections to ensure successful delivery.
Verify data integrity and completeness after transfer.
Track data transfer status, logs, and queues.
Assist with cataloging and organizing data from multiple test venues.
Support troubleshooting of data transfer issues and connectivity problems.
Follow established processes to ensure consistent handling of flight test data.
Coordinate with team members to ensure timely availability of data for engineering analysis.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
