Business & Data Analyst

University of Western Ontario

$67K — $96K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate degree in a related field, preferably in Social Science, Data Science, or Information Technology/Computer Science.
  • Minimum 4 years of experience in business and data analysis, including reporting and data visualization.
  • Experience with project management and managing large datasets is required.
  • Familiarity with tools like StarRez, PowerBi, Tableau, SQL, and other business intelligence tools is preferred.
  • Knowledge of business systems analysis, data storage techniques, and project management methodologies.

Responsibilities

  • Analyze Housing's activities to inform strategic decisions and define solutions.
  • Translate business challenges into actionable requirements for stakeholders.
  • Bridge communication between Housing Admissions and the IT team to optimize processes.
  • Manage housing data systems and enhance data capture and visualization.
  • Support the development and analysis of student satisfaction assessments to improve occupancy levels.

Benefits

  • Full-time position with a 35-hour work week.
  • Collaborative work environment with cross-departmental communication.
  • Opportunity to influence strategic decision-making in student housing.
  • Potential for career growth within the academic institution.
  • Hands-on experience with advanced data analytics tools and methodologies.
Full Job Description
Classification & Regular Hours

Hours per Week: 35

Salary Grade: 14

The base salary will be $67,680 - $96,590 per annum. Starting salary will be aligned with the successful candidate's experience, skills, and demonstrated qualifications.

Responsibilities

The Business & Data Analyst is responsible for analyzing Housing's activities and operations to inform strategic decision-making and define effective solutions. Under the direction of both the Manager of Residence Admissions and the Software Development Manager, this role translates business challenges into actionable stakeholder requirements and gathers data from Housing processes and information systems to provide accurate and timely insights.

The Analyst bridges Housing Admissions and the Housing and Ancillary Services IT team (HASWEB) to create or optimize business processes while facilitating communication across various departmental teams. Beyond managing day-to-day housing data systems, this role optimizes data capture, produces visual metrics and dashboards, and supports the development and analysis of student satisfaction assessments. The Business & Data Analyst actively contributes to the admissions process to ensure optimal housing occupancy levels.

Qualifications

Education:
  • Undergraduate degree in a related field
  • Social Science, Data Science, Information Technology/Computer Science preferred

Experience:
  • 4 years of experience in the following:
    • Experience in business analysis and data analysis
    • Reporting including working with large data sets, data visualization, and statistical measures
    • Previous experience with project management
  • Preferred:
    • Previous work experience in an academic environment institution
    • Previous experience with StarRez, Microsoft PowerBi, Tableau, SQL and/or other business intelligence tools
    • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
    • Experience building visual presentations, dashboards, and other data visualization techniques

Knowledge, Skills & Abilities:
  • Knowledge of business systems analysis, data storage, and information retrieval techniques
  • Ability to elicit requirements and align solutions to strategic priorities
  • Knowledge of project management, business analysis, and change management principles, tools, and methods
  • Ability to map business processes and create de documentation
  • Advanced knowledge of Excel and common data formats
  • Knowledge of data structures and SQL query techniques
  • Knowledge of key statistical concepts and methods essential to finding structure in data
  • Knowledge of diverse methodologies to get insight from the data
  • Knowledge of quantitative and qualitative research methodologies and analyses
  • Familiar with best practices in maintaining sensitive and confidential data
  • Familiarity with accounting principles would be considered an asset
  • Ability to analyze business risk and recommend improvements in processes
  • Ability to deal with data anomalies such as missing values, outliers, unbalanced data, and data normalization
  • Ability to produce concise and accessible analysis of complex data through the effective use of charts and tables
  • Attention to detail with an ability to retrieve, analyze and synthesize sizable amounts of data while ensuring that information is accurate and comprehensive
  • Ability to collaborate across internal and external boundaries to meet common objectives, improve outcomes and support work beyond one's own unit
  • Verbal communication skills to clearly express ideas in an objective manner, and adapt communication style to suit the situation and audience
  • Proven ability and natural inclination to develop relationships by interacting with people in a professional, respectful, and diplomatic manner
  • Ability to work independently and effectively as a member of the team to achieve department goals
  • Exceptional organizational skills to manage competing priorities and an ability to adapt quickly to emerging priorities
  • Possess a reputation for resourcefulness with a strong sense of accountability and initiative


Please Note:

This position is an existing vacancy. This position is fully in-person, on-site. We thank all applicants for their interest; however, only those chosen for an interview will be contacted.

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