Senior Analytics Engineer

ZipLine•South San Francisco, CA

66d•$140,000 - $175,000

About The Position

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. 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.

Requirements

Bachelors 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
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

Nice To Haves

Familiarity with Python or R for statistical analysis, experiment design, or predictive modeling is a plus.

Responsibilities

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.

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