Asset Investment Analyst Toronto Hydro Corporation Location: Ontario Category: Financial Analyst

3 weeks ago


Old Toronto, Canada Electricenergyonline Full time

WORK ILLUSTRATION:

Reporting to the Manager, Engineering, the Asset Investment Analyst (Data Analyst) will provide a wide range of engineering support services that will ensure technical soundness, reliability, safety and cost effectiveness of the utility and its Electrical Distribution Power System. The Asset Investment Analyst will support a number of initiatives in relation to developing and implementing analytics to support various engineering initiatives, as well as the strategy to continue to evolve analytical capabilities within the division, including data integration and governance.

The incumbent is expected to behave ethically and follow the established code of business conduct, policies and internal control procedures, laws and regulations governing Toronto Hydro.

KEY RESPONSIBILITIES:

  • Develop & supports asset and program management analytics across Engineering
  • Works on standardizing data usage and analytics across Engineering
  • Participates in the strategic development of the analytics portfolio within the division and drives implementation activities
  • Supports data management & quality discussions and processes (i.e. data dictionary and entity relationship diagrams development)
  • Communicates with a wide range of cross-departmental stakeholders to advance the role of analytics in day to day activities
  • Works with stakeholders to identify and provide access to data sources via the Engineering Data Warehouse for various analytics initiatives
  • Supports the development of descriptive, predictive and prescriptive models to enhance AM decision making and analytics (including the development and application of Machine Learning or AI models)
  • Works with stakeholders to develop, deploy and enhance existing models to support AM decision making and analytics
  • Evaluates use cases for applicability for advanced analytical implementation (i.e. Machine Learning applications)
  • Collaborates with stakeholders to support data analytics related with short and long-range planning processes
  • Prepares engineering, technical or business reports and studies; performs analysis, testing and evaluations
  • Participates in implementing corporate goals/objectives
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