Lead Data Analyst

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About Zipline

Do you want to change the world? Zipline uses drones to deliver critical and lifesaving medicine to thousands of hospitals serving millions of people in multiple countries. Our mission is to provide every human on Earth with instant access to vital medical supplies. Join Zipline and help us make this a reality for billions of people.

About You and The Role  

Zipline’s Data team is responsible for powering data-driven decision making across the entire organization. 

We are hiring a talented and experienced Lead Data Analyst to join our small, but growing Data team and play a critical role in empowering all team members to make decisions with data. Doing our job well means that we enable the entire organization’s ability to make more informed decisions, innovate faster, and serve our customers better. 

In this role, you will work directly with our Data, Engineering, Operations, Go-to-Market, and Finance teams to support the organization's data analytics needs.

What You'll Do  

  • Deep dive into our data, create intuitive visualizations, and present actionable insights to a variety of stakeholders. 
  • Create high quality metrics and reporting in order to continuously improve our daily operations and processes, root cause problems, and measure the success of projects and initiatives.
  • Build predictive models that help us improve the performance of our drones and reduce stockout rates at our distribution centers. 
  • Maintain the integrity of our data by proactively identifying issues and working with our engineering and operations teams to implement robust solutions that will enable us to scale and operate more efficiently. 
  • Share your knowledge across the company by mentoring and managing other analysts and leveling up our collective technical expertise.

What You'll Bring 

  • Advanced knowledge of SQL and comfort with Python and libraries commonly used for data analysis and visualization, e.g., Pandas, Numpy, Scipy, and Matplotlib
  • Strong understanding of descriptive statistics, probability, and statistical modeling
  • Experience with BI tools such as Sisense, Tableau, Looker, or similar tools 
  • Adept at summarizing large datasets visually that make complex results understandable at a glance
  • Adept at triaging analysis requests and balancing multiple projects, deadlines, and stakeholders at once
  • Extremely high standards and obsession for data accuracy
  • Excellent communication skills and the ability to explain complex topics in simple language to different types of audiences
  • Passion and excitement to serve as a technical mentor and thought leader at Zipline 
  • Nice to have: Experience in schema design and dimensional data modeling, ideally using tools like dbt  
  • Nice to have: Experience with tools commonly used in data orchestration and processing such as Airflow and Spark

What Else You Need to Know   

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

 

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!

More Information on Zipline
Zipline operates in the Aerospace industry. The company is located in South San Francisco, CA. Zipline was founded in 2014. It has 375 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Open door policy, OKR operational model, Team based strategic planning and Pair programming. To see all 31 open jobs at Zipline, click here.
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