Data Analyst

Sceye; San Francisco (CA); Sur place; USD 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Chef-Prepared Lunches

Snacks & Refreshments

Wellness Perks

Dog-Friendly Environment

Comprehensive Health Coverage

401(k) with Match

High-Performance Culture

Résumé du poste

Sceye is seeking a data analyst to support flight tests, engineering, and business teams with data-driven insights. You will handle telemetry and sensor data, build dashboards, and provide analysis to inform vehicle performance and business operations.

The role emphasizes collaboration with Flight Test, Systems Engineering, and Avionics, and requires strong SQL, Python or R, and data visualization skills. A fast-paced environment and data integrity focus are expected.

Qualifications

• 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 (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.

Responsabilités

• 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.

Connaissances

SQL

Python/R

Data Visualization

Statistics

Attention to detail

Communication skills

Formation

Bachelor's degree in Data Science/Statistics/Engineering/CS

Outils

Tableau

Power BI

Description du poste

Data Analyst

Status: Full Time

Location: Moriarty, NM

Reports To: Chief of Technology

Who Are We:

Sceye is a high-growth technology company, building the next generation of instant communications, imaging and remote sensing infrastructure through stratospheric platforms.

Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18–21km). They can carry multiple telecommunications, imaging and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages.

Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies.

At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you'll contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence.

Position Summary:

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.

What You’ll Do:

• 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.

What We're Looking For:

• 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.

Preferred Qualifications:

• 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.

Knowledge, Skills & Abilities:

• Strong analytical and problem-solving mindset with curiosity about the underlying data.
• Ability to work independently and manage multiple analysis requests in a fast-paced environment.
• Clear and effective written and verbal communication skills.
• Comfortable working with engineers, operators, and business stakeholders alike.
• Detail-oriented with a commitment to data accuracy and integrity.

Physical Requirements:

• Primarily an office-based role involving extended periods at a computer workstation.
• Occasional visits to hangar or production facilities to understand data sources.
• Ability to walk throughout office and production facilities as needed.

What We Offer:

At Sceye, we're building more than high-altitude platforms—we're building a workplace where people (and their pups) thrive. Here's what you'll enjoy:

• Chef-Prepared Lunches – Fresh, onsite meals to keep you fueled and focused.
• Snacks & Refreshments – Enjoy a variety of snacks and drinks available throughout the day.
• Wellness Perks – Access to a gym, pickleball court, and an outdoor dog kennel.
• Dog-Friendly Environment – Bring your four-legged friends to work and enjoy a pet-welcoming space.
• Comprehensive Health Coverage – Medical, dental, vision, and disability insurance, with over 82% of premiums covered—and 100% for everything else.
• 401(k) with Match – Company contributions that are yours from day one.
• High-Performance Culture – Join a collaborative, inclusive environment where your work helps shape the future of aerospace.

Equal Opportunity Employer:

Sceye is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected status.

We encourage individuals from all backgrounds to apply, especially those who bring unique perspectives and experiences that can help us grow and innovate. If you require reasonable accommodation during the application or interview process, please contact us—we're happy to assist.