Data Analyst - Data Products II - (Remote) WashU IT

Posted Yesterday
Hiring Remotely in USA
Remote
75K-129K Annually
Mid level
Artificial Intelligence • Edtech • Information Technology • Biotech
The Role
Own and deliver assigned data products: gather requirements, design data models, build dashboards/reports, define data quality rules, run QA/UAT, mentor junior analysts, and partner with data engineering and governance to enable analytics and process improvements.
Summary Generated by Built In
LocationRemote, US Scheduled Hours40

Position SummaryOperates 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:

  • Designs and executes complex diagnostic and trend analyses across multiple systems and data sources.
  • Owns dashboard and report development for assigned products; manage release cycles and documentation.
  • Develops analytical logic and data models in close partnership with data engineers.
  • Leads proof-of-concept (POC) work to evaluate new analytical approaches, tools, or platforms.
  • Identifies and implements opportunities for process improvement and automation.
  • Independently leads stakeholder interviews and requirements-gathering sessions for assigned products.
  • Translates complex business needs into clear data specifications, user stories, and acceptance criteria.
  • Owns backlog refinement and feature prioritization for assigned product initiatives.
  • Documents workflows, decision logic, and future-state process designs.
  • Partners with the Data Product Lead and data engineers to sequence and deliver analytical capabilities.
  • Defines and implement data quality rules for assigned products.
  • Develops and maintains data dictionaries, metadata standards, and lineage documentation.
  • Plans and executes QA and UAT for assigned data products; validate analytical outputs prior to release.
  • Contributes to and enforces enterprise data governance practices and stewardship processes.
  • Informally mentors and guides DA I staff on analytical methods, tools, and best practices.
  • Delivers training to business users on data products and data literacy concepts.
  • Prepares presentations and written reports for leadership; communicates insights that drive decisions.
  • Participates actively in agile ceremonies, sprint planning, and retrospectives.

Working Conditions:

Job Location / Working Conditions

  • Remote

Physical Effort

  • Typically sitting at desk or table
  • Repetitive wrist, hand or finger movement
  • Ability to move to on and off-campus locations

Equipment

  • Office 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 JobWashU 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

GradeG14

Salary Range$75,200.00 - $128,800.00 / Annually

The 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 email [email protected] or 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 ScreeningAll 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

  • Up to 22 days of vacation, 10 recognized holidays, and sick time.

  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.

  • Take advantage of our free Metro transit U-Pass for eligible employees.

  • WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

  • We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.

  • WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO StatementWashington 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.

Skills Required

  • Bachelor's degree
  • 4 years relevant experience
  • Strong SQL skills
  • Proficiency in Python or R
  • Experience with data visualization tools and dashboard development
  • Experience with data quality analysis, data dictionaries, and metadata/lineage documentation
  • Requirements gathering and translating business needs into data specifications/user stories
  • Experience with QA, UAT, and validating analytical outputs
  • Experience delivering training and mentoring junior staff
  • Familiarity with agile ceremonies and backlog/prioritization practices
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The Company
HQ: Saint Louis, MO
19,300 Employees
Year Founded: 1853

What We Do

Washington University in St. Louis is a premier research university that unites faculty, students, and alumni to tackle global challenges through education, research, and innovation.

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