Data Specialist

3 weeks ago

Toronto, Ontario, Canada City of Toronto Full time

Data Specialist Role

The City of Toronto is seeking a highly skilled Data Specialist to join the Fleet Services Division. As a Data Specialist, you will play a key role in leading tasks and projects related to data analytics and research, including designing, testing, and building complex models to solve divisional analytics problems.

Key Responsibilities:

  • Lead tasks and projects related to data analytics and research, including designing, testing, and building complex models.
  • Design, test, and build complex models to solve divisional analytics problems, identifying opportunities for using advanced statistical and predictive modelling 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 divisional data projects and tasks.
  • Explore, analyze, and advise key staff and Manager on the value and applications of emerging datasets.
  • Conduct peer and literature reviews on novel modelling 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 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

The Data Specialist will work closely with internal and external partners, disseminators, and analysts to collect and analyze data on behalf of the Division. This includes preparing reports and submissions, contributing to and supporting divisional and corporate Data Governance initiatives, and fostering and maintaining effective working relationships and networks.

Key Qualifications:

  • Post-secondary education in a discipline pertinent to the job function, 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.
  • Experience in advanced data analytics, interpretation of data, and statistical modelling using Python, R, SQL, or other equivalent tools.
  • Considerable experience with BI tools, assessing and ensuring data quality, troubleshooting, and resolving data quality issues.
  • Proficiency in GIS, spatial analysis, spatial databases, cartography, and mapping.
  • Proficiency in Microsoft Office application suite and other data analysis and reporting tools.
  • Excellent oral communication, writing, presentation, and interpersonal skills.
  • 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 distill 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.

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