Specialist, Quantitative Analysis

  • 38154
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Sep 11, 2020
  • Provide data interpretation including relationships and trends analysis.
  • Develop indicators, scorecards and dashboards from environmental scanning, research and benchmarking exercises.
  • Create opportunities to improve report delivery including automation and self-service approaches.
  • Lead the preparation of briefs, reports, business cases and/or presentations based on research topics and analyses; present to senior level stakeholders, both internally and externally, as required.
  • Manipulate and analyze large datasets while ensuring data integrity and accuracy.
  • Employ qualitative and quantitative analytical techniques, including scenario-building, modeling of alternatives, etc., to provide assessments of policy options and expected outcomes.
  • Develop predictive models and analyze program, product and/or service performance with a variety of analytical tools.
  • Lead the analytical delivery cycle, including liaising with stakeholders and converting the business needs into strategic analytics while selecting the appropriate tools, methodologies and strategies that translate and interpret data into valuable business insights.
  • Conduct effective testing and post-implementation reviews and calibrate the models as required.
  • Continuously monitor and report on the external operating environment with respect to guidelines, policies and practices, which have an impact on internal standards and practices.
  • Provide expertise and advice on relevant programs, policies, products or services, ensuring that recommendations support the business needs.
  • Perform analysis and report results with consideration for the various risks faced by the company (e.g., reputational, financial, operational, etc.).
  • Understanding, influencing and/or serving people are important considerations in causing actions or acceptance by others.
  • Undergraduate degree in a quantitative field, such as statistics, economics, commerce, computer science, engineering or business intelligence.
  • Expertise in the standard Microsoft suite, SAS and other tools such as open source tools (R, Python) and data visualization (Power BI, Tableau).
  • Minimum of five years of prior relevant experience.
  • Sound analytical skills with demonstrated quantitative/qualitative analytical and problem-solving skills to capture and synthesize information and develop recommendations and provide advice.
  • Developed communication skills and the ability to make clear and concise presentations for decision-making.
  • Ability to establish and maintain effective working relationships.
  • Demonstrated ability to build models required to understand issues at a detail level and forecast impacts of change.