Asset Investment Analyst

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

COMPETENCIES:  

• Undergraduate degree in Engineering (or related field)                                         
• 3 - 5 years of analytics experience with Python/R, Alteryx, SQL and Tableau (preferably in a utility environment)
• Knowledge of Machine Learning concepts (e.g. Supervised and Unsupervised Machine Learning models) considered an asset
• Experience in Operations Research (Engineering Asset Management, Survival Analysis, Mathematical
  Programming/Optimization) considered an asset
• Experience with data analysis and data mining techniques to address and resolve gaps in data
• Fully proficient with Microsoft Excel including Data Solver and VBA
• Effective skills in project management operations, budgeting, business process and productivity improvements
• 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
• Demonstrated leadership; encourage organizational teamwork, collaboration and educated risk taking to
  develop innovative solutions and support corporate goals
• 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.