Data Analyst

SCEYE INC • Moriarty, NM

7d • Onsite

About The Position

Sceye is seeking a detail-oriented Data Analyst to support flight test, engineering, and business teams with data-driven insights. This role will work with telemetry, sensor, and operational data generated by our stratospheric platforms, helping teams make informed decisions on vehicle performance, mission readiness, and business operations.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related field, or equivalent experience.
• 2-4 years of experience in a data analyst or similar analytical role.
• Proficiency in SQL and at least one analysis/scripting language such as Python or R.
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
• Strong understanding of statistics and data quality principles.
• Excellent attention to detail and ability to work with large, messy datasets.
• Strong communication skills, including the ability to explain analysis to non-technical audiences.

Nice To Haves

• Experience working with time-series or telemetry data, especially from sensors or flight/test systems.
• Familiarity with aerospace, engineering, or manufacturing data environments.
• Experience with data pipeline or ETL tools.
• Exposure to machine learning or predictive analytics techniques.

Responsibilities

• Collect, clean, and analyze telemetry and sensor data from flight tests and ground operations.
• Build dashboards and reports to track vehicle performance, mission metrics, and operational KPIs.
• Partner with Flight Test, Systems Engineering, and Avionics teams to answer data-driven questions about vehicle performance.
• Support post-flight data reduction and analysis to inform engineering decisions.
• Maintain and improve data pipelines that move telemetry and operational data into analysis-ready formats.
• Perform statistical analysis to identify trends, anomalies, and areas for improvement.
• Document data definitions, sources, and analysis methodology for internal use.
• Collaborate with software engineering teams to improve data quality and availability.
• Support business and operations teams with ad hoc reporting and analysis requests.
• Present findings clearly to both technical and non-technical stakeholders.

Benefits

• Chef-Prepared Lunches
• Snacks & Refreshments
• Wellness Perks (Access to a gym, pickleball court, and an outdoor dog kennel)
• Dog-Friendly Environment
• Comprehensive Health Coverage (Medical, dental, vision, and disability insurance, with over 82% of premiums covered)
• 401(k) with Match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level