New Job Data Specialist In Ontario



Company : Jobssummary / Indeed
Salary : $93,500–$119,274 a year
Location : Ontario

Full Description

    Job ID: 33460
    Job Category: Engineering & Technical
    Division & Section: Fleet Services Division, Business Management
    Work Location: 843 Eastern Ave and Union Station
    Job Type & Duration: Full-Time, Temporary (12 months) Vacancy
    Salary: $93,500 - $119,274
    Shift Information: Monday to Friday, 35 hours per week
    Affiliation: Non-Union
    Number of Positions Open: 1
    Posting Period: 28-Mar-2023 to 13-Apr-2023

Job Summary:

The City of Toronto’s Fleet Services Division (FSD) provides a full range of fleet management services for City Divisions and Agencies. FSD directs the City’s fleet management, including the full lifecycle management of over 4,000 fleet assets, maintenance, safe operation and legislated compliance. FSD also leads the City’s Sustainable Fleet plan and the fuel and electric vehicle charging infrastructure. The City of Toronto has the largest municipal fleet in Canada and one of the most complex Fleets in North America.

Reporting to the Manager, Fleet Business Intelligence and Reporting, within the Fleet Business Management Section you will leverage existing and new fleet technologies, to lead the development of new databases, monitoring database performance, interpreting raw data and turning it into useable information that drives data-driven decision making and actionable outcomes. You will promote trend analysis and the use of data to identify root causes of problems that can be addressed to improve safety, efficiencies, good governance, and fleet optimization.

In this role you will support the implementation and growth of advanced analytics capacity by implementing innovative data analytics approaches and techniques to large-scale divisional datasets, making recommendations and implementing improvements to the system to optimize computation and storage resources for data, supporting data pipelines, Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT), statistical and inferential analysis. Through collaboration with corporate partners, you will ensure high performance of large amounts of ETL as well as ELT tasks, report building, analytics, and data visualization support. You will also collaborate cross-functionally with experts in data analytics, data governance, research and evaluation.

Major Responsibilities:

Data Analytics and Research Leadership

  • Leads tasks and projects related to the modelling, analysis, and interpretation of divisional data and other external datasets, including those with a spatial component.
  • Designs, tests, and builds complex models to solve complex divisional analytics problems, identifying opportunities for using advanced statistical and predictive modelling techniques.
  • Enables access to, and leverages, datasets by supporting data pipelines, build queries and ETLs/ELTs, and supports statistical and inferential analysis.
  • Makes recommendations and implements improvements to the system to optimize computation and storage resources for data.
  • 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.
  • Develops, implements, and evaluates work plans for divisional data projects and tasks.
  • Explores, analyzes, and advises the key staff and Manager on the value and applications of, and challenges associated with emerging datasets.
  • 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 fields of fleet asset management, work management, safety and compliance, training and education, and spatial data analytics and machine learning.
  • Serves as a subject matter expert on decisions or questions related to data analytics.
  • Monitors and evaluates the functionality of applications developed within the Division, and makes recommendations for enhancements.

Effective Stakeholder Collaboration, Knowledge Exchange, and Relationship Management

  • Prepares reports and submissions (e.g. briefing notes, staff reports, and other correspondence) for the Division and City Council.
  • Works with internal and external partners, disseminators and analysts to collect and analyze data on behalf of the Division.
  • Contributes to and supports divisional and corporate Data Governance initiatives related to maintaining and improving the collection, retrieval and access of Fleet Services’ data.
  • Fosters and maintains effective working relationships and networks with divisional staff, other divisions within the city and vendor.
  • 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.

Key Qualifications:

  • Post-secondary education in a discipline pertinent to the job function (e.g. Computer Science, Data Science, Statistics) or an approved equivalent combination of education and experience.
  • Considerable experience with databases and data warehousing, including organizing, compiling, manipulating, analyzing, visualizing and summarizing large datasets and their metadata
  • Experience in developing Extract, Transform, and Load processes or statistical and machine learning models and algorithms (Python, SQL, Java, etc.).
  • Experience in advanced data analytics, interpretation of data, and statistical modelling using Python, R, SQL, or other equivalent tools.
  • Considerable experience with BI tools (Tableau, PowerBI, etc.)
  • 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.
  • Proficiency in GIS (Geographic Information Systems), spatial analysis, spatial databases, cartography and mapping.
  • Proficiency in Microsoft Office application suite (specifically PowerPoint, Excel and Visio) and other data analysis and reporting tools.
  • Excellent oral communication, writing, presentation and interpersonal skills, to deal effectively with technical staff, business unit staff, and senior management, and communicate information in a manner that is understandable to a wide range of individuals.
  • Highly developed facilitation, problem-solving, and conflict resolution skills.
  • Strategic thinking skills, with the ability to develop recommendations that advance the organization and improve service to the public.
  • Exceptional ability to seamlessly distill very technical concepts to business users and vice versa.
  • Exceptionally self-motivated and directed approach, with a keen attention to detail and organization.
  • Political acuity with knowledge/leadership in government innovation.

Additional Information:

If you are interested in learning more about this Data Specialist position, you are invited to attend an information session taking place on Thursday, April 13th from 12:00 PM to 1:00 PM via WebEx. This will provide an opportunity to learn more about the role and responsibilities of the Data Specialist, the Fleet Services Division as well as the City's application process.

To attend the information session please click on the following link: Data Specialist, Fleet Services Info Session.
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.

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.