• Job Description

  Req#: 42819

  Job ID: 42819

  • Job Category: Engineering and Technical
  • Division & Section: Toronto Water, TW Customer & Technical Support
  • Work Location: 275 Merton St, Toronto ON, M4S 1A7
  • Job Type & Duration: 1 Permanent Vacancy
  • Salary: $93,500.00-$119,274.00,TM 5110, Wage grade 6.5
  • Shift Information: 35 hours per week
  • Affiliation: Non-Union
  • Number of Positions Open: 1
  • Posting Period: 21-Nov-2023 to 05-Dec-2023

  Major Responsibilities:

  • Serves as a subject matter expert on decisions or questions related to data analytics and modelling.
  • Works with stakeholders to launch a program to enhance analytics by improving the capability of the Division in the area of analytics, dashboards and reporting.
  • Develops strategies to ensure information is available and accessible for stakeholders including Council, the public, and staff.
  • Designs, tests, and builds complex models to solve complex divisional analytics problems, identifying opportunities for using advanced statistical and predictive modelling techniques.
  • Develops, implements, and evaluates work plans for divisional data projects and tasks.
  • Builds processes and methods to ingest and analyze large datasets from structured and unstructured data sources such as GPS-probe data, sensor-based data, and other large datasets.
  • Attends and presents at conferences and technical working groups, spatial analytics, data analysis, and/or machine learning.
  • Supervises, motivates and trains assigned staff, ensuring effective teamwork, high standards of work quality and organizational performance, continuous learning and encourages innovation in others.
  • Provides input into and administers assigned budget, ensuring that expenditures are controlled and maintained within approved budget limitations.
  • Leads tasks and projects related to the modelling, analysis, and interpretation of divisional and other spatial datasets.
  • Investigates and implements cutting edge machine learning techniques.
  • Explores, analyses, and advises the Team Lead and Manager on the value and applications of, and challenges associated with, emerging datasets.
  • Works with various research methods.
  • Conducts peer and literature reviews on novel modelling and analysis techniques in spatial data science.
  • Establishes and applies best practices in documenting processes, models, analyses, and code.
  • Keeps abreast of the latest research in the relevant fields, spatial data analytics and machine learning.
  • Prepares reports and submissions (e.g. briefing notes, staff reports, and other correspondences) for the Division and City Council.
  • Fosters and maintains effective working relationships and networks with divisional staff, other government agencies, and other data science professionals.
  • Monitors and evaluates the functionality of applications developed at the Division, and makes recommendations for enhancements.
  • Ensures compliance with safety and security matters under Occupational Health & Safety legislation and Divisional safety and security policies
  • Implements detailed plans and recommends policies/procedures regarding program specific requirements.

  Key Qualifications:

  1. University degree in Government or Technology or a data-related field or equivalent combination of education and relevant work experience required.
  2. Considerable experience with data visualization that includes producing executive level reports, dashboards and presentations to share insights and communicate project and portfolio performance data to a wide audience using advanced design skills and leveraging technology applications (e.g. PowerPoint, Tableau, Adobe Illustrator/In Design/Photoshop).
  3. Considerable experience of project and portfolio data with data analysis that includes collecting, integrating, analyzing, interpreting, and ensuring the appropriate archiving of project and portfolio data from various sources to gain insights and report on Key Performance Indicators.
  4. Considerable experience assessing and ensuring data quality, troubleshooting and resolving data quality issues to enable the identification of patterns, trends and insights to help boost and report on project and portfolio performance.
  5. Considerable experience with databases and data warehousing including organizing, compiling, manipulating, analyzing and summarizing large datasets.
  6. Project management professional designation such as CAPM (Certified Associate in Project Management) or Project Management Professional (PMP) would be an asset.
  7. Demonstrated knowledge with various project management tools (e.g. Microsoft Project) and methodologies for planning and implementing work packages would be an asset.
  8. Knowledge of performance reports including program and project progress, benefits plan and realization, risks, issues, resource utilization and constraints and analysis of trends and impacts on portfolio delivery plans.
  9. Demonstrated ability to establish and maintain effective working relationships with all key stakeholders, both internal and external to the organization.
  10. Strong customer service orientation.

  Equity, Diversity and Inclusion

  The City is an equal opportunity employer, dedicated to creating a workplace culture of inclusiveness that reflects the diverse residents that we serve. Learn more about the City’s commitment to employment equity.

  Accommodation

  The City of Toronto is committed to creating an accessible and inclusive organization. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). Should you require Code-protected accommodation through any stage of the recruitment process, please make them known when contacted and we will work with you to meet your needs. Disability-related accommodation during the application process is available upon request. Learn more about the City’s Hiring Policies and Accommodation Process.

• About the company

  Toronto (/təˈrɒntoʊ/, locally /ˈtrɒnoʊ, -nə/) is the capital city of the Canadian province of Ontario.

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