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Data Specialist

2 months ago

Toronto, Ontario, Canada City of Toronto Full time
About the Role

The City of Toronto is seeking a highly skilled Data Specialist to join our team. As a Data Specialist, you will play a key role in leading tasks and projects related to data modeling, analysis, and interpretation.

Key Responsibilities
  • Data Analytics and Research Leadership
    • Lead tasks and projects related to data modeling, analysis, and interpretation, including those with a spatial component.
    • Design, test, and build complex models to solve complex business problems, identifying opportunities for using advanced statistical and predictive modeling techniques.
    • Enable access to, and leverage, datasets by supporting data pipelines, building queries and ETLs/ELTs, and supporting statistical and inferential analysis.
    • Make recommendations and implement improvements to the system to optimize computation and storage resources for data.
    • Build processes and methods to ingest and analyze large datasets from structured and unstructured data sources.
    • Develop, implement, and evaluate work plans for data projects and tasks.
    • Explore, analyze, and advise key staff and management on the value and applications of, and challenges associated with emerging datasets.
    • Conduct peer and literature reviews on novel modeling and analysis techniques in spatial data science.
    • Establish and apply best practices in documenting processes, models, analyses, and code.
    • Keep 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.
    • Serve as a subject matter expert on decisions or questions related to data analytics.
    • Monitor and evaluate the functionality of applications developed within the Division, and make recommendations for enhancements.
    Effective Stakeholder Collaboration, Knowledge Exchange, and Relationship Management
    • Effective Communication and Collaboration
      • Prepare reports and submissions for the Division and City Council.
      • Work with internal and external partners, disseminators, and analysts to collect and analyze data on behalf of the Division.
      • Contribute to and support divisional and corporate Data Governance initiatives related to maintaining and improving the collection, retrieval, and access of Fleet Services' data.
      • Foster and maintain effective working relationships and networks with divisional staff, other divisions within the city, and vendors.
      • Monitor and evaluate the functionality of applications developed at the Division, and make recommendations for enhancements.
      • Ensure 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 modeling using Python, R, SQL, or other equivalent tools.
    • Considerable experience with Business Intelligence 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 Geographic Information Systems (GIS), 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.