Position Details

• Non-union. This position is Temporary full time for up to 12 months.

Key Accountabilities

• Reporting, analysis and interpretation of performance indicators, internal benchmarks and opportunities for stakeholders, including accessing and analyzing confidential or sensitive information.  

• Provide analytical insight to the dependencies and interrelationships between data and benchmarks to recommend business efficiencies and inform business strategy.   

• Provide strategic operating intelligence and business metrics for stakeholders to enable data driven decision making and reporting at the department and corporate levels.   

• Lead the identification and implementation of data-based solutions for complex business and technical challenges.  

• Liaise with a wide range of stakeholders such as subject matter experts, management, and executives to determine data needs, provide data analysis and present business insights.  

• Collaborate with business units to develop robust research questions and contribute to all steps of the data analysis process, including hypothesis generation, exploring data, modelling/interpreting/communicating results, and measuring their implementation.  

• Ensure knowledge sharing and management of current data analytics artifacts.  

• Research and design forecasting and modeling tools to identify operating trends, identifies anomalies, probable impacts, and recommends corrective actions.   

• Research, develop, design, implement and maintain internal reporting datasets (semantic layer) as well as other data driven applications.   

• Lead the implementation, development and designs in corporate Business Intelligence Tools.  

• Other duties as assigned.   

Knowledge/Skills/Abilities

• A recognized bachelor’s degree in computer science, mathematics, statistics, engineering, or a related quantitative discipline.  

• Five (5) years in reporting or analytics role.  

• Advanced knowledge of SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.  

• Significant experience with Power BI, SQL Server and SSIS.  

• Excellent written and verbal communication skills for coordinating across teams and presenting ideas to stakeholders.  

• Strong facilitation, analytical and problem-solving skills.  

• Experience in Python, big data tools, and cloud services considered an asset.  

• Ability to work on a team while building and maintaining effective relationships.