Zipline

### **About You and The Role** Zipline is on a mission to transform how goods move by making autonomous drone delivery the fastest, most reliable, and most delightful logistics system in the world. As we continue to scale our Platform 2 (P2) business, we are looking for a Business Data Analyst to help turn data into actionable insights that drive growth. As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded business and analytics partner to stakeholders across Marketing, Commercial, and Growth. You will help teams make better decisions by translating business questions into analyses, dashboards, and recommendations that improve performance, identify opportunities, and accelerate growth. This role is ideal for someone who enjoys combining technical expertise with business curiosity. You are comfortable working with large datasets, building intuitive reporting solutions, and communicating complex findings in ways that inspire action. You are excited by the opportunity to use modern analytics and AI tools to automate manual work, improve visibility, and help Zipline scale efficiently. ### What You'll Do - Own analyses of customer behavior, commercial performance, market dynamics, and Platform 2 growth opportunities. - Define KPI frameworks and metric definitions that give Marketing, Commercial, and Growth teams a consistent view of progress against strategic priorities. - Build and maintain business-facing dashboards and self-service reporting that stakeholders use to assess performance and plan action. - Translate analysis into recommendations that inform campaign investment, commercial prioritization, growth initiatives, and strategic tradeoffs. - Monitor performance to identify material trends, risks, and opportunities requiring a decision or change in business approach. - Partner with Data Science, Product, and business teams to improve data quality, reporting capabilities, and analytical processes. - Use AI-enabled workflows to automate recurring reporting and analysis, reducing manual work and improving the speed of insight delivery. ### What You'll Bring - 5+ years of experience delivering analytics or business intelligence work in analytics, operations, technology, logistics, eCommerce, or a related environment. - Advanced SQL proficiency and experience querying complex relational datasets. - Experience building business-facing dashboards in Sigma, Tableau, Looker, Power BI, or a similar platform. - Familiarity with data warehouses such as Snowflake or Redshift and a scripting language such as Python. - Ability to turn ambiguous commercial or growth questions into rigorous analyses, clear measurement approaches, and actionable recommendations. - Strong communication and business judgment, with evidence of helping technical and non-technical stakeholders act on data. - Experience using AI tools to automate analytical workflows or recurring reporting, plus a bachelor’s degree in a quantitative or related field. ### **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!

**About You and The Role** We are looking for a highly motivated and skilled Data Analyst to build out system health and performance monitoring within the Systems Engineering team, working closely with the team’s Data Engineers and Data Scientists. This role will play a key part in identifying critical fleet issues, improving safety, and removing barriers to Zipline’s growth. The successful candidate will work closely with engineers across Zipline, helping them understand the performance of their systems and how they relate to others, as well as senior leadership, assisting in measuring key company metrics. The ideal candidate has deep experience in data analytics, particularly in monitoring real-world hardware and/or operations, and can work adeptly with both highly technical and non-technical stakeholders to extract actionable insights from complex technical data. **What You’ll Do** - Design and build data analytics solutions, including monitoring dashboards, alerting tools, and ad hoc analyses, to track Zipline’s core flight reliability and safety metrics. - Collaborate with System Engineers and partner teams to track the health of hardware, software, and operational systems. - Create software scripts (in SQL and Python) to extract system performance data from raw flight logs. - Work autonomously with other Data Scientists and Analysts across the company to create and maintain shared data models in our data warehouse, ensuring company-wide access for analytics and reporting. - Ensure that we are following best practices for efficient data access across multiple technical systems. - Serve as a source of knowledge and expertise, assisting team members across the company in locating and reporting on their own data. **What You’ll Bring** - 5+ years of experience in data analysis or business intelligence, preferably related to hardware-software systems or operations. - Strong proficiency in data visualization tools such as Mode, ThoughtSpot, Looker, Tableau, PowerBI, or similar. - Experience writing SQL queries to extract, manipulate, and aggregate large datasets from relational databases, including complex joins, aggregations, and window functions, with the ability to optimize and debug queries for performance and readability. - Experience working with Snowflake’s cloud data platform or comparable data warehouse/data lake tools. - Excellent problem-solving and analytical skills. - Strong communication skills, with the ability to present complex data in a clear, concise manner to both technical and non-technical audiences. - Ability to work independently and manage multiple projects simultaneously. - Inherent self-motivation, adaptability, and creativity. **Preferred but Not Required:** - Experience using DBT to create data ETL pipelines. - Familiarity with Python for data analysis, including working with pandas, numpy, matplotlib, etc., and exploratory analysis in a Jupyter notebook environment. - Experience with GIS and spatial analysis. - Knowledge of GitHub and the ability to navigate a software pull request workflow. **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!

₹1L to ₹1L

### **About You and The Role** Zipline is building an autonomous delivery system that moves medical supplies, food, and retail products where people need them. As Platform 2 scales, Marketing, Commercial, and Growth teams need a shared, trusted view of customer behavior, commercial performance, and where to focus investment. As an embedded partner within the centralized Data Science & Analytics team, you will own the measurement, analysis, and reporting that moves those questions into business action. You will help leaders prioritize campaigns, commercial opportunities, and growth initiatives while building durable performance visibility for a growing autonomous delivery business. ### **What You'll Do** - Own analyses of customer behavior, commercial performance, market dynamics, and Platform 2 growth opportunities. - Define KPI frameworks and metric definitions that give Marketing, Commercial, and Growth teams a consistent view of progress against strategic priorities. - Build and maintain business-facing dashboards and self-service reporting that stakeholders use to assess performance and plan action. - Translate analysis into recommendations that inform campaign investment, commercial prioritization, growth initiatives, and strategic tradeoffs. - Monitor performance to identify material trends, risks, and opportunities requiring a decision or change in business approach. - Partner with Data Science, Product, and business teams to improve data quality, reporting capabilities, and analytical processes. - Use AI-enabled workflows to automate recurring reporting and analysis, reducing manual work and improving the speed of insight delivery. ### **What You'll Bring** - 3+ years of experience delivering analytics or business intelligence work in analytics, operations, technology, logistics, eCommerce, or a related environment. - Advanced SQL proficiency and experience querying complex relational datasets. - Experience building business-facing dashboards in Sigma, Tableau, Looker, Power BI, or a similar platform. - Familiarity with data warehouses such as Snowflake or Redshift and a scripting language such as Python. - Ability to turn ambiguous commercial or growth questions into rigorous analyses, clear measurement approaches, and actionable recommendations. - Strong communication and business judgment, with evidence of helping technical and non-technical stakeholders act on data. - Experience using AI tools to automate analytical workflows or recurring reporting, plus a bachelor’s degree in a quantitative or related field. ### **What Else You Need To Know** The starting cash range for this role is $110,000 - $135,000. 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, 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!

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