Junior Analyst, Enrolment Data Analytics

**Department** RO Enrolment Research, Analytics, and Insights

**Hourly rate** $35.50

**Hours per week** 35

**Grade** 11

**Posted date** May 15, 2025

**Closing date** May 29, 2025

**Position Type** Full Time - Operating Funded

**Description**:
**_This position is a part of the Non-Academic Staff Association (NASA)._**

This position has a term length of 12 months.

This competition will be used to fill two positions.

**Location -** This role is hybrid with a mix of remote and in-person. Work primarily takes place at North Campus, Edmonton.

**Working at the University of Alberta**
- The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all First Peoples of Canada, whose presence continues to enrich our vibrant community._

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people — from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. **Learn more**.**

**Working for** **Enrolment Research, Analytics and Insights (ERAI)**

The Enrolment Research, Analytics and Insights (ERAI) unit at the Registrar’s Office is responsible for operational data reporting and forward-looking research on a variety of topics related to university enrolment. The unit collaborates with stakeholder groups to deliver high quality of data products and strategic insights to support senior leadership in evidence-informed decision-making.

**Position**

Reporting to the Assistant Registrar, Enrolment Research, Analytics and Insights, the Junior Analyst, Enrolment Data Analytics plays an integral role by providing critical analysis and interpretation of enrolment data for strategic and tactical planning within the Office of the Registrar (RO) at the University of Alberta.

The Junior Analysts will be the key source to develop, build, implement, modify, and refine enrolment data-relevant projects under the U of A’s Integrated Enrolment Growth Plan (IEGP), this includes but may not limit to (1) enrolment forecasting at various levels (codes and manual are available), (2) forecasting visualization, (3) Strategic Enrolment Management Planning Portal, (4) streamlined data request process, (5) dashboards.

The Junior Analysts are expected to utilize their strong technical, analytical, coordination, and communication skills and will be closely guided and supported by the team.

**Duties**
- Carefully read, study, and understand U of A’s Integrated Enrolment Growth Plan and related material and products, including the enrolment forecasting tool, manual and codes, and the Data Insights Framework.
- Replicating existing enrolment forecasting models and refreshing the forecasting model when new data becomes available.
- Developing, building, implementing, modifying, and refining enrolment data-relevant projects under the Integrated Enrolment Growth Plan, which require strong technical, analytical, coordination and communication skills.
- Supporting Research and Enrolment Analysts to respond to data requests, reporting, and submissions.
- Supporting Programmer Analysts to respond to SQL query-related requests or projects.
- Supporting other advanced quantitative and qualitative research projects as necessary.
- Collaborating with other teams and units to understand business contexts and data structure, which are critical to deliver high-quality data and analytical products.

**Minimum Qualifications**
- Undergraduate degree in Statistics, Mathematics, Computer Sciences, or a related fields with a strong focus on quantitative skills.
- Trackable experience in completing quantitative data/research projects in either professional or academic environment.
- Expertise in using statistical software such as Python, R, SAS, Tableau, SQL, etc.
- Superior ability to work collaboratively with colleagues and be able to communicate complex data concepts through plain language.
- Strong ability to analyze data, suggest recommendations and present results.
- Excellent written and oral communication skills.
- Excellent time management in balancing demands in a way that will ensure access to critical data, reports or analysis within strategic time limits.

**Preferred Qualifications**
- Master’s degree or higher.
- Experience in Machine Learning.
- At least one year related experience in a professional environment.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

All University employees have a responsibility to foster a workplace that prioritizes safety in