Data Analyst - Vancouver, Canada - University of British Columbia

Sophia Lee

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Description
Staff - Non Union

Job Category

M&P - AAPS

Job Profile

AAPS Salaried - Institutional Analysis, Level A

Job Title

Data Analyst - Strategic Projects & Reporting (Faculty of Science)

Department

Strategic Projects | Dean's Office | Faculty of Science

Compensation Range

$5, $7,294.50 CAD Monthly

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The midpoint of the range is approximately halfway between the minimum and the maximum and represents an employee that possesses full job knowledge, qualifications and experience for the position.

In the normal course, employees will be hired, transferred or promoted between the minimum and midpoint of the salary range for a job.

Posting End Date

August 12, 2023

Note:
Applications will be accepted until 11:59 PM on the day prior to the Posting End Date above.

Job End Date

Aug 31, 2025


At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students.

Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career.

Job Summary

UBC Science is a North American leader in science education and research.

Led by the Faculty's teaching, learning and research initiatives, The Faculty of Science is a key incubator of educational and research innovations at UBC and beyond.

The Science Dean's Office is seeking a Data Analyst, Strategic Projects & Reporting to assist with a priority analytic project in the Dean's Office that is part of the ongoing implementation and operationalization of the Faculty's strategic plan, Improving Our World Through Science.

The Data Analyst is a key member of the Science Dean's Office team.

Their primary responsibility will be the ongoing data collection and analysis for a series of priority initiatives including projects focused on UBC Science student employment and career outcomes, and research metrics and outcomes.

They will undertake data extracts from multiple sources, customized data queries, data enrichment, provide statistical information and data visualization for all aspects of the research project and its integration into a newly developing metrics and reporting environment.


The Data Analyst will work primarily with the Director of Strategic Initiatives and two work learn student assistants who are also assigned to this project.

As needed, they will also work with other constituents within the Faculty of Science who are interested in utilizing the analytic approaches associated with this project for their own needs and priorities.


We acknowledge that UBC Science at the Vancouver campus is situated within the traditional, ancestral and unceded territory of the Musqueam.

Organizational Status


The Data Analyst reports to the Director, Strategic Projects, while working closely with the Dean's Office leadership team, its cross-Faculty collaborators, and private contractors and consultants when appropriate.

As appropriate, the Data Analyst will liaise with Graduate and Postdoctoral Studies, the Development and Alumni Engagement Information Systems team, and external service and data providers.

Work Performed


The Data Analyst is responsible for preparing, coding, analyzing, and visualizing key data sets associated with STEM undergraduate and graduate degree outcomes nationally, provincially, and at UBC.

This will require data coding, analysis and visualization that is aligned with key stakeholder priorities and interests.

The Data analyst will train and work collaboratively with two work learn student assistants.

They will also work collaboratively with colleagues in Graduate and Postdoctoral Studies and various units across the Faculty of Science as needed.


Duties include:

  • Creating and running structured queries for relevant data to produce statistical reports
  • Creating and maintaining a master database of employers, including coding data using multiple classificatory schemes
  • Identifying and investigating potential new data sources for benchmarking, key performance indicators, and decision support
  • Coding data in alignment with key stakeholder / sectoral priority areas
  • Assesses project and reporting requirements and advises on research methodologies and analytic approaches
  • Conducting relevant academic and policy literature scans and reviews
  • Preparing programspecific summaries and reports upon request of Faculty constituents
  • Clean and prepare structured and unstructured data to main information in its most useful form
  • Implement reproducible methods of analysis using GitHub, Python, R, Tableau, and related tools
  • Visualizing key data findings across Science programs and domains using Tableau, Python, and other data visualization tools
  • Investigate and implement uptodate methods of analyzing data (Machine

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