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Infrastructure & Capital Projects - Senior Data Analyst, COM

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Starting date : 1 position to fill as soon as possible

  • (Internal Title: Business System Configuration / Development II)
    • Data Science and Strategic Support
      • Assist the Data Science Manager in achieving departmental objectives and aligning data-driven initiatives with organizational strategic goals
      • Lead and support data transformation projects, encompassing data engineering, advanced data integration, and development of sophisticated reporting applications tailored to client requirements
      • Design and execute comprehensive strategic roadmaps for data management, mobilization, and governance, supporting advanced analytics initiatives and data science experiments
      • Collaborate directly with data scientists to provide robust analytical frameworks, preprocessing data, and facilitating exploratory data analysis (EDA)
      • Provide mentorship, technical guidance, and strategic insights to junior analysts and team members, particularly regarding statistical analysis and data science methodologies
    • Collaboration and Teamwork
      • Foster robust collaborative relationships with multidisciplinary teams, ensuring clear communication and alignment on complex, data-intensive projects
      • Champion team capability enhancement through structured training sessions, knowledge-sharing workshops, and continuous improvement initiatives focused on advanced analytics and data science tools
      • Actively engage in cross-departmental forums to advocate for advanced analytics practices, data literacy, and the integration of complex analytical findings into business strategies
    • Data Architecture and Management
      • Design, implement, and maintain highly scalable and flexible data architectures to accommodate evolving business needs, operational excellence, and support advanced analytical techniques
      • Lead the creation and ongoing management of comprehensive data dictionaries, catalogs, and lineage documentation to facilitate clear data understanding, supporting complex analytical processes
      • Drive initiatives to systematically address data debt, optimize data pipelines, structures, and ensure robust data quality management and governance standards, crucial for advanced analytics reliability
    • Analytics and Insights
      • Apply advanced data modeling, statistical analysis, and machine learning techniques to construct and refine data structures optimized for high-performance analysis and predictive modeling
      • Conduct complex data analyses and support data science experiments, delivering actionable insights and predictive models to inform strategic business decisions and operational efficiencies
      • Collaborate with stakeholders and data science teams to gather requirements, translate complex data needs into coherent technical specifications, and deliver actionable analytical solutions
    • Reporting and Analytics Enablement
      • Develop and oversee sophisticated reporting and advanced analytics strategies, leveraging data engineering tools, automated pipelines, predictive analytics, and modern visualization frameworks to enhance reporting efficiency, accuracy, and insightfulness
      • Establish and maintain self-service analytics ecosystems that enable stakeholders to perform complex analyses independently, including predictive modeling and exploratory data analysis
      • Regularly review and optimize reporting and analytics frameworks to align with emerging business needs, analytical advancements, and technological innovations
  • Working Conditions:
    • Hybrid

Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

undetermined

Spoken languages

undetermined