Data Analyst - Data Products II - (Remote) WashU IT at Washington University in St. Louis
About the role
Location Remote, US Scheduled Hours 40 Position Summary Operates with greater independence, leading requirements-gathering sessions, owning specific assigned data products within a domain, and partnering closely with data engineering and governance teams. Moves beyond individual analysis tasks to take responsibility for data quality rules, product ownership, and iterative product delivery for a defined set of products (not entire domains). Guides DA I staff, contributes to proof-of-concept (POC…
Interview process at Washington University in St. Louis
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Washington University in St. Louis interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.