Senior Data Analyst, Analytics
Skydio is hiring a Senior Data Analyst, Analytics for a remote role open to applicants in United States. It pays $130k-$175k a year and Level rates it ; you can apply on Skydio.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- The listed pay starts 15% above the typical data analyst posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include Databricks, Palantir Foundry and NetSuite.
- Level lists 189 other open roles at Skydio.
AI in this role
Build, maintain, and optimize data flows, pipelines, and dashboards within Palantir Foundry.
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.
About the role:
We are looking for a highly skilled Sr. Data Analyst with a strong background in systems integrations, workflows, dashboards and development. This role will focus on building, maintaining, and optimizing data flows between NetSuite and other business-critical platforms. As well as creating beautiful dashboards out of that.
This would be based out of our San Mateo, CA Headquarters and would need to be in the office 2-3 times a week.
How you’ll make an impact:
Own and manage the Palantir Foundry platform from a Finance perspective.
Design, develop, and enhance data pipelines on the Palantir Foundry platform.
Troubleshoot integration issues, ensuring data accuracy and system reliability.
Document reverse ETL flows, technical specifications, and best practices.
Define and design ontologies to structure and organize enterprise data.
Proven ability to build custom applications and interactive dashboards within Palantir Foundry.
Gain deep understanding of our business processes to drive system improvements and automations in Palantir.
What makes you a good fit:
3+ years of experience with data visualization tools.
3+ years of experience with Databricks or similar platform.
3+ years of experience with Pyspark, Typescript.
2+ years of hands-on experience with the Palantir Foundry platform (Preferred).
Experience with Building/Maintaining integration pipelines between NS and other business applications.
Experience in data analysis and visualization.
Bachelor's or Master's degree in CS/MIS or other equivalent fields.
Understanding of Consumer Electronics hardware product lifecycle is preferred but not required.
Strong analytical and problem-solving skills with an intellectual curiosity.
Self-starter and proactive personality with a proven track record of following through and delivering on responsibilities.
Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions.
Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $130,000 - $175,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria.
*Compensation for certain positions may vary based on the position’s location.
#LI-AY1
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.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by 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/
How we rate this
Senior Data Analyst, Analytics at Skydio rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $130k
- Typical data analyst job
- $113k
This posting starts 15% above the typical data analyst job. See data analyst jobs
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
- Tell me about a project where dashboards was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Data Pipelines, Data Visualization, Dashboards, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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