Posted Aug 23, 2026

Data Analyst - Data Products II - WashU IT

Apply Now

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) work, and delivers data product enablement training to the business. Thinks beyond task completion to value delivered. Strong SQL and proficiency in Python or R are required.

Job Description

Primary Duties & Responsibilities:


Working Conditions:

Job Location / Working Conditions


Physical Effort


Equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Bachelor's degree

Certifications/Professional Licenses:

No specific certification/professional license is required for this position.

Work Experience:

Relevant Experience (4 Years)

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.

Preferred Qualifications

Education:

No additional education unless stated elsewhere in the job posting.

Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.

Work Experience:

No additional work experience unless stated elsewhere in the job posting.

Skills:

AI Concepts, Analytics Dashboards, Collaboration, Continual Improvement Process, Cross-Functional Work, Data Analysis, Data Analysis Tools, Data Quality Analysis, Data Query, Data Visualization Tools, Documentation Preparation, Effective Written Communication, Interpersonal Communication, IT Problem Solving, Learning New Technologies, Oral Communications, Python (Programming Language), Requirements Gathering, R Programming, Structured Query Language (SQL), Training Delivery

Grade

G14

Salary Range

$75,200.00 - $128,800.00 / AnnuallyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Personal

Wellness

Family

For policies, detailed benefits, and eligibility, please visit:

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Originally posted on