At Airspace, we know that failure is not an option. We ship anything from organs for transplant to aircraft parts that could cause delays across the globe. We focus on time-critical shipments because they matter.

By building an industry-first automated platform, we provide you with complete visibility from the moment your order is placed to the moment it is delivered.

Our platform was created to eliminate the transparency issues and challenges that are so prevalent in the logistics industry today to create the most trusted delivery network the world has ever seen.

At Airspace, the Data & Analytics team is a pivotal force, steering the course of our product and business decisions with insights and intelligence. We're on the hunt for passionate data enthusiasts who thrive on uncovering vital insights from complex data sets to revolutionize the world of time-critical logistics.

Your Role and Responsibilities:

• Strategic Liaison: Act as a key connector between our Analytics and Revenue teams, applying your analytical skills to harmonize data insights with business objectives. Immerse yourself in understanding our business and client needs and devise innovative data-driven solutions to maximize value for ourselves and our clients.
• Storyteller with Data: Use your analytical acumen to craft compelling narratives that highlight Airspace's value to customers. Your insights will be essential in conducting impactful Quarterly Business Reviews with our top clients.
• Insight Generator: Apply your skills in data processing, quantitative analysis, and visualization to create and communicate influential insights to stakeholders.
• KPI Monitor and Advisor: Develop dashboards, reports, and models to keep a pulse on customer-centric KPIs, understand the dynamics behind them, and propose actionable recommendations.

• Experience: At least 2 years in a role focused on quantitative analysis and reporting.
• Technical Proficiency: Strong skills in SQL, Excel/GSheets, and familiarity with Looker, Tableau, or similar BI tools. An understanding of data visualization best practices is key.
• Analytical Translator: Ability to turn complex, vague data into clear, actionable insights for non-technical audiences.
• Proactive and Detail-Oriented: A self-motivated individual with a keen eye for detail.
• Continuous Learner: Eager to learn new technologies, methods, and approaches to problem-solving. Demonstrated experience quickly picking up and mastering new tools.
• Data Modeling Skills: Experience with Python or R for data manipulation and modeling is a valuable plus.