Asset Investment Analyst
❮ back to last search| Location: | Toronto |
|---|---|
| Company: | Toronto Hydro |
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Reporting to the Manager, Engineering, the Asset Investment 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 lead and/or support a number of initiatives in relation to asset condition assessment, strategic initiatives, and analytics used to address various engineering initiatives and draw insights that drive decisions, as well as the strategy to continue to evolve analytical capabilities within the division.
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.
Toronto Hydro has implemented a mandatory vaccination requirement for all its employees. Proof of full vaccination will be required upon receiving a conditional offer of employment. Toronto Hydro will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the Ontario Human Rights Code.
KEY RESPONSIBILITIES:
Lead and/or support Asset Condition Assessment development and enhancement
Supports Maintenance Planning and/or Asset Management analytics across Engineering
Works on standardizing data usage and analytics across Engineering
Collaborates with stakeholders and team members to support data analytics related to short and long-range planning processes
Participates in the strategic development of the analytics portfolio within the division and drives implementation activities
Communicates with a wide range of cross-departmental stakeholders to advance the role of analytics in day-to-day activities
Supports the development of descriptive, predictive, and prescriptive models to enhance AM decision making and analytics
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)
Prepares engineering, technical or business reports and studies; performs analysis, testing, and evaluations
Participates in implementing corporate goals/objectives
RESPONSIBILITIES:
Undergraduate degree in Electrical Engineering (preferred), Computer Science, or Mathematics
Three (3) – Four (4) years of professional experience with data preparation and wrangling is required
Experience with Python/R, Alteryx, SQL, and Tableau (preferably in a utility environment) is considered an asset
Experience with data analysis and data mining techniques to address and resolve gaps in data
Fully proficient with Microsoft Excel including VBA
Effective skills in project management operations, budgeting, business process and productivity improvements
Knowledge of ML/AI concepts such as Supervised and Unsupervised Machine Learning models with demonstrated project or prior work experience considered an asset
Strong verbal and written communication skills
Knowledge/training in asset management practices is an asset
Specific Knowledge in power systems, electrical distribution, and computer applications is an asset
Self-motivated, operates with a high degree of independence and can visualize opportunities for change in support of continuous process improvement
Aptitude and experience in adapting to, managing, and facilitating change, willing to challenge the status quo
Strong negotiating/relationship-building ability
Proven effective problem-solving and analytical ability
Customer focused
Demonstrated knowledge of relevant safety and environmental legislation and regulations
Toronto Hydro has introduced a Hybrid Work Arrangement. This position allows for remote work up to three days per week, based on business needs. Employees will be required to come onsite on those days when they are involved in activities that they or their leader feel are better conducted in person. You are expected to live in Ontario and within reasonable commuting distance of the office.
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