Senior Data Analyst

Posted Yesterday
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Kigali, Nyarugenge, Umujyi Wa Kigali, RWA
In-Office
Senior level
Aerospace • Hardware • Logistics • Robotics • Software • Transportation
Zipline democratizes access to critical medical supplies through instant drone delivery.
The Role
Build monitoring dashboards, alerting tools, and ad hoc analyses to track flight reliability and safety. Extract and model system performance data (SQL, data warehouse), collaborate with engineers and data teams, ensure efficient data access, and present insights to technical and non-technical stakeholders to identify fleet issues and improve operations.
Summary Generated by Built In
About Zipline

Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. 

Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.

Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.

We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.

About You and The Role

Zipline operates autonomous delivery systems where safety, reliability, and growth depend on understanding performance across flights, hardware, software, and operations. Engineers and leaders need trusted system-health data to detect issues, evaluate tradeoffs, and prioritize improvements.

You will own core system-health analytics products within Systems Engineering: the metrics, data models, monitoring, and analyses that inform fleet reliability and safety decisions. Working with Systems Engineers, Data Engineers, Data Scientists, and partner teams, you will turn raw flight data into tools people rely on to understand fleet performance and act on meaningful changes.

What You’ll Do

  • Own dashboards, alerting tools, and analyses for core flight reliability, safety, and system-performance metrics.
  • Define and maintain metric definitions and shared warehouse data models used for system-health reporting.
  • Write SQL and Python scripts to extract, validate, and analyze system-performance data from raw flight logs.
  • Partner with Systems Engineering and cross-functional teams to monitor hardware, software, and operational-system health.
  • Investigate meaningful fleet trends and system interactions, translating findings into inputs for engineering prioritization and safety reviews.
  • Improve data accessibility and query efficiency across technical systems, enabling dependable self-service reporting.
  • Deliver trusted, adopted analytics products that help teams detect issues earlier and make clearer reliability, safety, and performance tradeoffs.

What You’ll Bring

  • 5+ years of data analysis or business intelligence experience, ideally supporting real-world hardware, software, or operational systems.
  • Strong SQL skills, including complex joins, aggregations, window functions, query optimization, and debugging on large relational datasets.
  • Experience with Snowflake or a comparable cloud data warehouse or data lake platform.
  • Proficiency with a visualization tool such as Mode, ThoughtSpot, Looker, Tableau, Power BI, or similar.
  • Ability to communicate complex technical findings clearly to engineers, operators, and senior leadership.
  • Sound analytical judgment and ability to independently manage multiple investigations or data products.
  • Python analysis experience is preferred; familiarity with DBT, GIS or spatial analysis, and GitHub workflows is helpful.

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, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws or our own sensibilities.

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!

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Zipline ’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Skills Required

  • 5+ years of experience in data analysis or business intelligence
  • Proficiency with data visualization tools (Mode, ThoughtSpot, Looker, Tableau, PowerBI)
  • Strong SQL skills: complex joins, aggregations, window functions, query optimization and debugging
  • Experience with Snowflake or comparable cloud data warehouse/data lake
  • Design and build monitoring dashboards, alerting tools, and ad hoc analyses for system health
  • Excellent problem-solving and analytical skills
  • Strong communication skills; present complex data to technical and non-technical audiences
  • Ability to work independently and manage multiple projects simultaneously
  • Experience working with hardware-software systems or operations (preferable)
  • Familiarity with Python for data analysis (pandas, numpy, matplotlib, Jupyter)
  • Experience using dbt to create data ETL pipelines
  • Experience with GIS and spatial analysis
  • Knowledge of GitHub and pull request workflows

Zipline Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zipline and has not been reviewed or approved by Zipline.

  • Healthcare Strength Healthcare coverage is consistently described as comprehensive and high quality, with multiple plan choices, low out‑of‑pocket costs, and additions like HRA, One Medical, and fertility support.
  • Parental & Family Support Parental and family leave is highlighted as generous and meaningfully used, reinforcing support for major life events.
  • Leave & Time Off Breadth Paid time off, sick days, and holidays are portrayed as solid and broadly available, contributing to overall benefits depth.

Zipline Insights

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The Company
HQ: South San Francisco, CA
375 Employees
Year Founded: 2014

What We Do

Zipline is the world's largest autonomous delivery network and is powered entirely by fixed-wing drones. Our fleet circles the equivalent distance of the equator every 2.5 days, and we have shipped hundreds of thousands of critical medical products across Rwanda, Ghana, and now beginning in the United States.

Why Work With Us

Zipline is the perfect intersection of super cutting-edge tech, deep social mission, and extremely compelling business case. Our small, scrappy, customer-obsessed, humble, and mission-driven team has set the bar for what is possible in the drone logistics industry globally, and has designed some incredibly elegant technology in the process.

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