Senior Data Analyst

Key Skills

Amazon Simple Storage Service (S3), AWS, Azure, Data science techniques, Databricks, Debugging, ETL frameworks, KPIs, Looker, Python Programming, SQL, Tableau, Terraform

Job Description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial transportation. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, and operational excellence to empower a broader, more diverse audience of drone users - from first responders to insurance claims adjusters, utilities, and more!

About the role:

We are seeking a highly skilled Senior Data Analyst to join our growing Data Analytics team. In this role, you will play a pivotal part in transforming complex datasets into actionable insights that drive strategic decision-making across the organization. As a hands-on expert in data analysis and a strategic thinker, you will partner with cross-functional teams to enable Skydio’s Sales, Marketing, Customer Success, Operations, Product, and Finance functions. You will be instrumental in building reliable, scalable data infrastructure and delivering analytics solutions that directly impact business system optimization, time to market, productivity, and profitability.

How you'll make an impact:

• Assist in managing our data warehouse, building schemas, tables (events, aggregated, views), and automating workflows in an Airflow-like environment.
• Expand ETL processes for data warehouse ingestion by aggregating data from various business systems (e.g., Fivetran, Databricks, AWS, Tableau, Ascend) and internally developed databases.
• Collaborate closely with cross-functional teams, including Engineering, Product, Marketing, and Finance, to define and track key performance indicators (KPIs) that inform business strategy and decision-making.
• Design, develop, and maintain dashboards and reports to provide real-time analytics and monitoring across various business functions.
• Contribute to building data-driven models for financial, operational, and strategic decision-making.
• Ensure proper documentation of data schemas, metrics, and reports.
• Conduct deep-dive analyses to identify opportunities for optimization, growth, and enhanced business performance.
• Work with data engineers to maintain data integrity, ensuring scalability and automation in data pipelines.
• Lead initiatives to optimize business systems, improving productivity and profitability across the company.

What makes you a good fit:

• 5+ years of experience in data analysis in a high-growth technology environment.
• Demonstrable experience in developing, deploying, and maintaining data pipelines from ETL to automation and anomaly alerts, preferably with Fivetran, Airflow, and Databricks.
• Advanced understanding of AWS (e.g., Terraform, S3, IAM) and Databricks, including cluster management with infrastructure-as-code as a bonus.
• Proven ability to write, test, and debug code, primarily in SQL and Python.
• Strong communication skills, with the ability to break down complex concepts for non-technical stakeholders.
• Expertise in SQL for querying large datasets and experience with data visualization tools such as Tableau, Looker, or Databricks.
• Collaborative mindset with experience working in cross-functional teams to deliver data-driven insights and solutions.
• Bachelor’s degree in a related field (e.g., Data Science, Statistics, Computer Science) or equivalent practical experience.

Compensation Range: The annual base salary range for this position is 123,000-175,000*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.

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At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.

As such, we do not make hiring or other employment-related decisions on the basis of an applicant or employee’s race, color, ethnicity, national origin, citizenship, sex/gender (including pregnancy, childbirth, breastfeeding and related medical conditions), gender identity or expression, age, religion, disability status, sexual orientation, marital status, medical condition, genetic information or characteristics, veteran, military or family status, or other classifications protected by applicable federal, state or local anti-discrimination laws.

For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/