Data Analyst, Infrastructure

  • Contract
  • Anywhere
  • Posted 3 months ago

University of Alberta

This competition is open to all applicants however internal candidates and applicants who were former employees of the University of Alberta in the past 18 months will be given priority consideration before external candidates. Please indicate your internal status using the “Advertisement” drop down menu when applying.

This position is a part of the Non-Academic Staff Association (NASA).

This position has a term length of two years and offers a comprehensive benefits package which can be viewed on our Benefits Overview page .

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

Working for 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 teeming with change makers, community builders, and world shapers who lead with purpose each and every day. We are home to more than 40,000 students in 200+ undergraduate and 500+ graduate programs, over 13,000 faculty and staff, 260,000 alumni worldwide and have been recognized as one of Canada’s Greenest Employers for over a decade.

Your work will have a meaningful influence on a fascinating cross section of people—from our students and stakeholders, to our renowned researchers and innovators who are quite literally curing diseases, making discoveries and generating solutions that make the world healthier, safer, stronger, and more just.

Working for the Department

The Asset Information and Analysis unit is one part of the Integrated Planning, Development, and Partnerships department that supports the work management and other systems of Facilities & Operations. We enable team members across F&O to work efficiently and effectively by managing and tracking operational data within the portfolio.


Reporting to the Manager, Infrastructure Information and Building Analytics as part of the Asset Information & Analysis group, this position will provide technical analysis, business analysis and reporting support to various users within the U of A Facilities and Operations portfolio. The primary responsibility of this role is to perform data analysis, analytics and process improvement functions for initiatives that support the Facilities and Operations mission of being a leader in facility operations and management. Working as part of a group of technical specialists, this role will have a direct impact on helping to improve how University facilities are operated.

The University of Alberta has a proven track record of being a leader in the field of facilities management, and by leveraging the vast quantities of infrastructure data being collected will it be able to maintain its position as pioneer. The Data Analyst will play a role in this by improving the analytics and business processes management throughput of the Data Analytics group as well as taking on one or more initiatives as a champion and lead.


The Data Analyst will:

  • Work together with the Enterprise asset System team of the Asset Information and Analysis group, acquire and analyze raw data from user sources as required.
  • Perform data quality audits as required and as appropriate. Some examples would include document review, building site visits, as well as working sessions with University and facilities staff.
  • Document and Analyze business processes and identify opportunities for Improvement/ automation.
  • Maintain the highest standards of quality assurance and data integrity to ensure that all data being presented and used by stakeholders is accurate and reliable.
  • Produce well thought out, accurate, and relevant analysis of various data collected by the University.
  • Along with the Manager, provide information, write brief reports, and produce recommendations for presentation to senior members of Facilities and Operations.
  • Maintain the highest standards of professional judgment, ethical behavior, and discretion regarding the sensitive data that may be used as part of analysis.
  • Be responsible for the day to day management of the initiative as well as be the main point of contact for the client groups.
  • Drive the initiative forward to accomplish portfolio strategic goals.
  • Liaise with client groups to understand, analyze, and facilitate business process changes, and technology or operational improvements.
  • Build and foster good relations between Infrastructure Information and Building Analytics and other groups within Facilities and Operations and the University in the interest of collaboration and continuous improvement through data analysis and business process improvements.
  • Assist in the data analysis using excel, data query languages (sql, DAX, etc…).
  • Perform data quality audits as required and as appropriate. Some examples may include document review, building site visits, as well as working sessions with University and facilities staff.
  • Manage summer student resources as required to achieve success.
  • Act for the Manager, in their absence.

The Data Analyst will manage one or more of the following major initiatives:

  • Analyze data collected in Enterprise System for Work Order Management and Preventative Maintenance.
  • Business Process Documentation to document existing work processes.
  • Requirement Gathering to create Dashboards using MS Excel, Tableau and/or Power BI.
  • Use query/programming language to extract and analyze data from databases, spreadsheets, and text files.
  • Use Google Script, API data, process automation to expedite data reporting and analysis.
  • Facilities Benchmark/KPI Reporting with various stakeholders.

Minimum Qualifications

  • A Bachelor’s Degree in Engineering, Business, Commerce or Sciences from an accredited University. Or a Diploma in Software Engineering, Computer Science, or related Data Science Program combined with relevant technical experience.
  • 3 – 5 years of experience in Data Analysis, Software Development, Business process Improvement in industry environment.
  • Demonstrated ability and curiosity for self-directed learning using on-line resources, peer network or MOOCS.
  • Proven experience demonstrating excellent written and verbal communication skills in order to effectively communicate with various levels and backgrounds of users.
  • Ability to think critically and apply professional judgment to solve complex and technical problems that require the highest degree of ethics and discretion.
  • Ability to work effectively independently as well as part of a multi-disciplinary team serving users of various backgrounds.
  • Demonstrated ability to adapt and pivot to rapidly changing demands.
  • Demonstrated ability to work collaboratively in a team environment while managing competing priorities.
  • Demonstrated attention to detail and high levels of accuracy.
  • Ability to learn quickly on the job and multitask on various competing workloads.

Preferred Qualifications

  • Experience with buildings engineering design, construction data, financial data and/or operations will be considered an asset.
  • Experience with data analytics and visualisation tools such as Tableau, Power BI and Google Data Studio will be considered an asset.
  • Experience with SQL and query languages, database structures and data warehousing will be considered asset.
  • Experience with Business process improvement, process automation, Lean Six Sigma methodology is an asset.
  • Experience with Google Scripts, APIs, Python programming language, process automation (UiPath etc..), is an asset.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

Note: Online applications are accepted until midnight Mountain Standard Time of the closing date.

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

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