Senior Performance Analyst

MetrolinxToronto, ON

About The Position

Metrolinx is connecting communities across the Greater Golden Horseshoe. Metrolinx operates GO Transit and UP Express, as well as the PRESTO fare payment system. We are also building new and improved rapid transit, including GO Expansion, Light Rail Transit routes, and major expansions to Toronto’s subway system, to get people where they need to go, better, faster and easier. Metrolinx is an agency of the Government of Ontario. At Metrolinx, equity, diversity and inclusion are essential to living our values of serving with passion, thinking forward and playing as a team. Our Operations Business Services Office is seeking a Senior Performance Analyst to provide advice and analytical insight for the development of performance reports and processes that address partner reporting requirements. The Senior Performance Analyst will support Asset Performance and Engineering, and will report to the Manager, Operational Performance.

Requirements

  • Completion of a degree Computer Science, Data Science, Economics, Engineering, Mathematics, Statistics, or related field – or a combination of education, training and experience deemed equivalent.
  • Demonstrate years of experience in conducting quantitative analysis and development of performance monitoring dashboards/reports.
  • Demonstrate progressive experience and advanced skills in developing reports with Power BI, Power Query and DAX.
  • Advanced skills in using SQL for querying and extracting data developed through years of experience in hands on use of SQL.
  • Demonstrate experience in regularly using R or Python for data analysis, including data extraction, data wrangling.
  • Knowledge of AI tools such as Copilot to develop quick insights and aid in coding and automation
  • Experience with Microsoft Power Platform (Apps, Automate) to automate processes
  • Knowledge of information systems to collect, extract data and present data in audience appropriate digestible format (example: creating and maintaining reports, digital dashboards).
  • Analytical skills to investigate operating issues and recommend solutions.
  • Data quality assurance processes, methodology and tools, quality assurance testing and implementation methods and practices to ensure the integrity of data.
  • Creativity to determine format of dashboards and to translate a range of diverse data/information into actionable results that support internal and external requirements.
  • Demonstrated ability to evaluate data and present data that drive improvements
  • Experience communicating analytic methodology to non-technical audience.
  • Excellent verbal and written communication skills to draft reports, analyze information and present information to various audiences.

Nice To Haves

  • Certification in Power BI would be considered an asset.
  • Prior work experience in Transit, Manufacturing or Commercial will be considered an asset.

Responsibilities

  • Drive Strategic Insights; design, develop, deliver, and maintain dashboards and Key Performance Indicators using Power BI, and reports that enhance Metrolinx’s Asset Performance.
  • Utilize engineering knowledge of Reliability, Availability, Maintainability (RAM), and connect to the Enterprise Asset Management (EAM) system with Power BI to develop KPIs for RAM metrics.
  • Support the use of Enterprise Asset Management Information Systems and other operational systems; develop reporting dashboards to inform performance; enable fast, easy, meaningful operational and business insights.
  • Perform Advanced Analytics; apply predictive modelling and statistical techniques to leading indicators on asset performance and trends.
  • Operational Excellence: Investigate operating and performance challenges by liaising with stakeholders to determine root causes and recommend preventative actions.
  • Maintain comprehensive and up-to-date knowledge of internal and external data sources relevant to asset performance and operations.
  • Data Integrity: Understand data source systems and collaborate with external partners and I&IT to ensure data quality, refine collection processes, and support enterprise data governance, compliance and risk policies (e.g. Enterprise Data Governance).
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