Data Analyst - Airtable

at Near Space Labs

Remote

Near Space Labs is leading the next generation of Earth imaging. We design, build, and operate a fleet of proprietary, stratospheric balloons called Swiftys. Our Swiftys fly to the edge of space to deliver high-quality, updated imagery of our planet.

We are seeking a Data Analyst to join our fast-paced, growing Stratospheric Operations organization. This role is crucial in managing, maintaining, and enhancing our primary data tool, Airtable, for Stratospheric Operations and the broader company. You will be responsible for building dashboards, developing and managing integrations, and ensuring the data system meets the operational needs across various departments, including Engineering, Vehicle, Manufacturing, and more.

Reporting directly to the Senior Director of Stratospheric Operations, you will collaborate with stakeholders across the entire organization to ensure clarity and accessibility of data, empowering leadership to make data-driven decisions. While primarily supporting Stratospheric Operations, you will also contribute to improving data efficiencies, including dashboard creation and data input methodologies for other company areas such as Engineering, Manufacturing, and potentially Business Operations. As the founding member of this role, you will have significant ownership and autonomy in shaping how our data management infrastructure evolves. You will be the sole owner of our data tool, Airtable, and its strategic direction. The ideal candidate should have experience confidently managing and improving live data environments, capable of strategically deconstructing and rebuilding systems to enhance efficiency without disrupting ongoing operations.

This is a full-time, remote position supporting a nationwide operational footprint. Occasional urgent support may be required to resolve critical data integration issues, though weekend work is generally not expected.

Compensation & Benefits:

• Salary: $80,000 - $120,000 annually, depending on experience.
• Paid Time Off: 25 days Annual PTO.
• Sick Leave: 10 days of Sick Leave.
• Healthcare: Medical, dental, and vision coverage.
• 401K Plan: 401K Plan with company match
• Equity: Opportunity for equity

Key Responsibilities:

• Airtable Management: Own and oversee Airtable as the central data tracking tool, including the development, maintenance, and enhancement of dashboards, system integrations, and work-flows company-wide.
• Collaboration: Work closely with internal stakeholders across Stratospheric Operations, Engineering (data and vehicle teams), Manufacturing, and senior leadership to ensure data accuracy, relevance, and integration.
• Performance Analysis: Leverage operational data to identify trends, conduct analyses, and present actionable insights to enhance operational efficiency and effectiveness.
• Data Infrastructure Improvement: Continuously assess and improve data management processes, workflows, and integrations to optimize company-wide data utilization.
• Reporting and Documentation: Maintain detailed documentation and accurate records of data integrations, system architecture, and operational insights.

Required Skills and Experience:

• Educational Background: Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Administration, or a related field, or equivalent professional experience.
• Airtable Experience: Demonstrated experience using Airtable, including building dashboards, managing databases, and coding integrations.
• Technical Proficiency: Demonstrated expertise in data analysis, dashboard creation, database management, and coding integrations.
• JavaScript Proficiency: Understanding and proficiency in JavaScript, essential for creating custom dashboards and scripts within Airtable.
• Tool Proficiency: Familiarity with related company tools such as Google Suite, and Jira.
• Cross-Functional Collaboration: Proven ability to effectively work with technical and non-technical stakeholders across various departments.
• Problem-Solving: Demonstrated aptitude for developing innovative solutions to complex data challenges in dynamic environments.
• Communication Skills: Strong communication skills, capable of clearly articulating data insights and requirements across all levels of the organization.
• Adaptability: Highly adaptable and able t