Senior Analytics Engineer

External Applicants: Please ensure all required documents are ready to upload before beginning your application, including your resume, cover letter, and any additional materials specified in the job description. Cover Letter and Supporting Documents: Navigate to the "My Experience" application page. Locate the "Resume/CV" document upload section at the bottom of the page. Use the "Select Files" button to upload your cover letter, resume, and any other required supporting documents. You can select multiple files. Important Note: The "My Experience" page is the only opportunity to attach your cover letter, resume, and supporting documents.

You will not be able to modify your application or add attachments after submission. Current Employees: Apply from your existing Workday account in the Jobs Hub. Do not apply from this website. A cover letter is required for all positions; optional for facilities, campus services, and hospitality roles unless otherwise specified.

Job Description

Summary We are a small team of analytic practitioners inside Information Systems, and we serve the entire university — academic units, enrollment, advancement, finance, HR, and student life. Some weeks that means sitting with a stakeholder to shape how their data should be structured. Other weeks it means building the pipeline, the model, and the dashboard end to end. Nobody on this team hands work over a wall. You will meet the stakeholder, understand the problem, design the solution, build it, and stay with it through adoption. If that scope sounds like a lot, it is — and it's the reason the work is interesting. We are also in the middle of a genuine platform shift.

We're moving from a legacy reporting estate toward a modern lakehouse architecture on AWS and Microsoft Fabric, and replacing low-code integration with spec-driven development in Python. Alongside that, we're early in our AI journey — deliberately so. We have projects scoped and moving forward now, and we're working out what AI actually changes about this craft, from AI-assisted engineering through to agentic analytics for our stakeholders. We're not promising you a mature AI practice to plug into. We're offering something better: a chance to help build one.

What we offer ● A small team where your work is visible and your judgment matters ● Room to shape a platform migration rather than maintain a finished one ● Real support for learning — training, certification, and time to explore new tools ● Flexibility in how you work: hybrid by default, with roughly one day a week on campus ● The breadth of a university: no two stakeholder problems look alike Job Description Partner with the institution ● Work directly with stakeholders across campus to understand their questions before defining a solution — requirements gathering is a conversation, not a ticket. ● Advise on data architecture, data management, and governance practices for units building their own capability. ● Coach and support customers through…

Read the full posting