Senior Analytics Engineer

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. About You And The Role Zipline's Application Software team builds the tools we use to run our business. We are responsible for the operating system of Zipline – we develop critical applications that enable the manufacturing, maintenance, and service of our drone delivery system. We're currently creating and improving systems to optimize operations across the business, including within finance, supply chain, inventory, manufacturing, maintenance, and engineering. We also build the software applications that enable the Zipline fulfillment experience, ranging from customer-facing applications for placing orders and tracking deliveries to internal applications for managing inventory and shipping orders. As a Senior Analytics Engineer on our team, you’ll play a key role in unlocking the full potential of data from these systems. You will enable data pipelines, transform raw information to make connections and develop analysis-ready datasets, and create intuitive dashboards, reports, and analyses. As a result, Zipline leaders will have high-quality and actionable data to make more informed decisions, innovate faster, and serve our customers better. What You'll Do Bridge the gap between business problems and the data required to address them. Become a trusted partner for customer and operational teams, identifying and anticipating analytical needs and delivering high-impact solutions and insights. Develop and maintain scalable data pipelines to ensure stable, accurate, and reliable data flows seamlessly across systems. Partner with engineers to improve data quality at the source and help design software systems that set us up for long-term analytical success. You’ll bring context and insight that actively shape how we build and scale. Design, develop, and optimize models to consolidate raw data from multiple platforms and transform it into clean, reusable datasets. Influence the way we think about our business by driving the definition, tracking, and operationalization of metrics. Help define our approach to balancing centralized reporting with enabling distributed teams. You’ll build the tools, resources, and data models others need to move quickly and make decisions independently. Deep dive into our data, create intuitive reports and dashboards, and unlock actionable insights for stakeholders across operations and business teams. Apply statistical methods and experimental design to uncover actionable insights to drive meaningful progress in our product and marketing efforts. What You'll Bring Bachelor’s degree in a related field 7+ years of relevant industry experience A strategic mindset, with experience helping define and evolve data strategy, infrastructure, or analytics practices Familiarity with Python or R for statistical analysis, experiment design, or predictive modeling is a plus. Expertise in writing complex and efficient SQL queries Experience with Business Intelligence tools, preferably Mode and ThoughtSpot Experience with data warehouses, preferably Snowflake Experience in schema design and dimensional data modeling, preferably using dbt Experience working with finance, e-commerce, and product data Expertise analyzing large datasets visually to make complex results understandable at a glance Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions Adept at triaging analytics requests and balancing multiple projects, deadlines, and stakeholders Excellent communication and interpersonal skills, with the ability to explain complex topics in simple language to diverse audiences What Else You Need to Know The starting cash range for this role is $140,000 - $175,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. 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! #J-18808-Ljbffr Zipline