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Senior Data Analyst, Analytics

Skydio

$139,500 - $186,000
Sep 4, 2025
San Mateo, CA, US
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Skydio is seeking to transform complex datasets into actionable insights that drive strategic decision-making across the organization, enabling Sales, Marketing, Customer Success, Operations, Product, and Finance functions.

Requirements

  • 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.
  • 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.
  • Experience with Fivetran, Airflow, and Databricks

Responsibilities

  • 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.
  • 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.

Other

  • Bachelor’s degree in a related field (e.g., Data Science, Statistics, Computer Science) or equivalent practical experience.
  • Strong communication skills, with the ability to break down complex concepts for non-technical stakeholders.
  • Collaborative mindset with experience working in cross-functional teams to deliver data-driven insights and solutions.
  • Paid vacation time, sick leave, holiday pay and 401K savings plan.
  • Relocation assistance may also be provided for eligible roles.