Senior Data Analyst, Analytics Job at Booster in San Mateo
Booster, San Mateo, California, United States
About the role
We are seeking a highly skilled Senior Data Analyst to join our growing Data Analytics team. In this role, you will transform complex datasets into actionable insights that drive strategic decision-making across the organization. You will partner with cross-functional teams to enable Skydio’s Sales, Marketing, Customer Success, Operations, Product, and Finance functions, build reliable, scalable data infrastructure, and deliver analytics solutions that 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 & benefits
At Skydio, compensation is composed of base salary, equity in the form of stock options, and comprehensive benefits. The annual base salary range for this position is $139,500-$186,000. Relocation assistance may be provided for eligible roles. Regular, full-time employees are eligible for company health insurance plans, paid vacation, sick leave, holiday pay, and a 401K savings plan. This position and all associated benefits are subject to applicable laws and company policies.
*Compensation for certain positions may vary based on location.
Diversity, equity, and inclusion
At Skydio we believe that diversity drives innovation. We are committed to an inclusive culture and encourage applicants from diverse backgrounds. Qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.
For positions located in the United States, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, please visit www.e-verify.gov.