Data And Operations Analyst Internal Operations
Anduril Industries
Location: Costa Mesa, California, United States
Job requirements
- 2+ years of experience in a consultative analyst role - consulting or data analytics, or strong engineering background
- Motivated by the mission of solving defense problems
- Experience with SQL, Python, Typescript or other programming languages
- Familiarity with data stack tools such as dbt, Redshift, Looker/Tableau, Palantir Foundry
- Empathetic and user-focused
- Energized by business impact and a self-starter
- Desire to learn best practices for programming and analytics tools
- U.S. Persons status required
Technologies
- SQL
- Python
- Typescript
- dbt
- Redshift
- Looker
- Tableau
- Palantir Foundry
Prep Questions
Behavioral
Can you describe a time when you had to collaborate with operational teams to understand their workflows and then translate that into data models and tools?
Behavioral
How do you stay updated with the latest technologies and tools in the data analytics field?
Situational
Imagine you encounter a problem that can be solved with data but requires collaboration across different departments. How would you approach this situation?
Situational
How do you ensure that the data analytics dashboards and applications you develop are user-focused and meet the needs of the stakeholders?
Behavioral
Describe a challenging project you worked on that involved a combination of technical requirements and user-focused workflows. How did you navigate through it?
Situational
How do you ensure the accuracy and reliability of the data in your analytics dashboards and applications?
Behavioral
Can you provide an example of a time when you identified a problem within the organization that could be addressed with data-driven solutions?
Situational
How do you handle ambiguous projects with unclear direction or requirements?
Behavioral
Describe a situation where you had to present complex data insights to non-technical stakeholders. How did you ensure effective communication and understanding?
Situational
How do you prioritize competing demands and deadlines in a fast-paced environment?