U

University of Waterloo

Student-run venture capital training fund

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeWaterloo, ON, Canada$73.7k - $92.1kIn-person

About the Job

Requirements

  • A bachelor's degree in Mathematics, Computer Science, or Statistics, or equivalent education and experience; a combination of education and experience may be considered.
  • At least 3 years of experience in data analytics, data integrity, data mining, and statistical analysis.
  • Experience designing, implementing, testing, and managing data for reporting and trend analysis.
  • Demonstrated ability to document and communicate underlying data definitions.
  • Demonstrated ability to translate analysis results for a non-technical audience and translate requirements into technical methods for finding results within student data.
  • Demonstrated ability to work effectively independently and in a team, manage competing priorities, and adapt to a changing environment.
  • Ability to research, gather, and analyze information and data and produce clear, precise outputs, reports, and recommendations.
  • Business maturity and awareness when handling confidential and sensitive topics and matters.
  • Demonstrated ability to apply new concepts, tools, and processes.
  • Experience producing high-quality, error- and omission-free deliverables within tight deadlines.
  • Proficiency with Microsoft Word, including track changes, comparing and merging files, table management, and footnotes.
  • Advanced knowledge of Excel, including macros, pivot tables, lookups, and data import.
  • Proficiency with PowerPoint, including creating dynamic presentations and using charts and images.
  • Proficiency with an enterprise student information system.
  • Proficiency building queries and using database tools.
  • Strong written and interpersonal communication skills, attention to detail, problem-solving skills, and a continuous-improvement and customer-service focus.

Responsibilities

  • Develop and prepare reports, data visualizations, and analytics supporting admissions, enrolment, academic progression and degree completion, and student funding.
  • Develop reliable forecasting and other models to inform planning and enrolment modelling within the Registrar’s Office, with Graduate Studies and Postdoctoral Affairs, and across Faculties.
  • Communicate data analytics clearly and efficiently to the Registrar’s Office, Faculties, and other stakeholders.
  • Analyze data using best-practice methodologies and consistent definitions to support evidence-based decision-making focused on Registrar’s Office business practices.
  • Lead and support work with Graduate Studies and Postdoctoral Affairs and its Data Analyst to provide consistent and efficient solutions for both units.
  • Work with Institutional Analysis and Planning and other campus partners to support institutional analyses of Registrar’s Office activities.
  • Develop and maintain standardized methods for requesting, approving, building, and sharing stakeholder reports.
  • Respond to staff and stakeholder questions and ad hoc inquiries to support operational decision-making.
  • Develop solutions and reports for a broad range of data needs, including a reporting dashboard.
  • Develop and maintain queries in Quest student data systems for reporting and future inquiries.
  • Generate reports and analysis that identify the need for, or impact of, business-process changes.
  • Work with the Registrar’s Office team and campus partners to maintain data integrity, completeness, and quality for data stewarded by the office.
  • Work with Information Systems and Technology to facilitate efficient development, enhancement, and maintenance of the Registrar’s Office data environment, including Power BI and the Data Lake.
  • Support standardized institutional data definitions and reporting methodologies with Institutional Analysis and Planning and other campus partners.
  • Ensure institutional data accurately reflects underlying business processes.
  • Collaborate with campus partners to improve and automate data reporting and dissemination processes.
  • Understand data, systems, dictionaries, and distribution channels across the University’s multiple information systems and domains.
  • Research new tools, systems, and practices and recommend improvements in data analytics.
  • Lead or co-lead data analytics projects as required.
  • Establish project priorities and manage stakeholder-request responsiveness, timelines, and progress to completion.
  • Document projects and communicate progress to stakeholders.
  • Gather information from senior Registrar’s Office stakeholders and identify opportunities for projects and enhancements.
  • Develop timely, accurate reports, analytics, and dashboards that convey complex information in an understandable manner to support academic, fiscal, and strategic planning.
  • Place data and information in context by combining university data with qualitative and quantitative environmental or external data and appropriate narrative.
  • Communicate with technical and non-technical users to gather data-system and reporting requirements, consolidate and document requirements, and transform them into visualizations.
  • Provide leadership and collaborate with University partners, including Information Systems and Technology, Institutional Analysis and Planning, Faculties, Data Stewards, Graduate Studies and Postdoctoral Affairs, and Strategic Enrolment.
  • Collaborate with data analysts and specialists within Institutional Analysis and Planning and across campus to ensure consistency and complementarity in reporting and analysis.
  • Undertake and assist with advanced and complex research, collection, organization, and analysis of data and information.

Desired Qualifications

  • Experience in a post-secondary education system, particularly with the data structure of a student information system.
  • Experience coordinating projects, with expertise in writing and advanced quantitative statistics and qualitative data analyses.
  • Experience analyzing financial data.
  • A master's degree.
  • Experience with Microsoft Power BI.
  • Experience with PeopleSoft, Infosilem, and examination-scheduling software.

About the Company

University of Waterloo

Student-run venture capital training fund

The University of Waterloo’s Student Venture Fund (SVF) gives students hands-on training in venture capital by evaluating startups, conducting market research, valuing companies, doing due diligence, and making investment recommendations under faculty and industry supervision. Students perform the full investment process and manage a live portfolio of early-stage investments with guidance from mentors. Unlike typical courses, SVF provides real-money, end-to-end learning with a supervised portfolio that blends classroom rigor with practical investment experience. The goal is to train students in venture-capital skills while building real-world investment experience and strengthening connections with the startup and investment community.

Company size
11-50
Company stage
Not listed
Total funding
$3.4M
Headquarters
Waterloo, Canada
Founded
2017

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