Business Data Analyst

Company Introduction:

Airspace is a tech-enabled freight forwarder that’s redefining how the world’s most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands.

As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors.  

Airspace has been rated one of America’s best Startup Employers, listed as one of CNBC’s Disruptor 50 companies, and featured as an Innovation and Disruption leader by CBS News. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. 

The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics. 

What we do:

Airspace is a tech-enabled freight forwarder that’s redefining how the world’s most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands. 

As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant to parts for critical machinery, including grounded aircraft and highly sensitive components such as semiconductors.

Airspace has been rated one of America’s best Startup Employers, listed as one of CNBC’s Disruptor 50 companies, and featured as an Innovation and Disruption leader by CBS News. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. 

The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute our mission of reshaping the world of time-critical logistics.

Join Our Team: 

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.

Qualifications:

• Experience: At least 2 years in a role focused on quantitative analysis and re