Advisor

  • 37605
  • Non-Life - Data Science
  • |
  • Quebec, Canada
  • |
  • Jun 19, 2020
  • |
  • French
Insurance
RESPONSIBILITIES
  • You will support the development and use of tools and methods for collecting, compiling, modelling and restoring the organization’s physical and non-physical data to establish governance, help decision-makers understand the big picture and inform decisions.
  • You will analyze and help diagnose issues and situations related to your field.
  • You will provide opinions in accordance with the rules of your discipline for the development of recommendations and appropriate implementation plans.
  • You will develop work tools, methods and processes. Your projects and initiatives will require extensive knowledge of your line of work.
  • You will offer ideas.
  • You will help solve problems through analysis and by drawing on your comprehensive knowledge of the business.
  • You will leverage your ability to manage complex situations.
  • You will be required to interact with stakeholders working in complementary fields.
  • You will provide discipline-specific support to your unit, clients and partners.
  • You will be part of a team whose mandate is to develop insight into members and clients to support decision making for the marketing, payment and financing sectors.
  • You will support the marketing strategy, product line management and manufacturing teams with their analysis and monitoring requirements, by using and analyzing the data available and by developing, managing and monitoring key indicators.
  • Diagnose issues, challenges and needs to determine target outcomes.
  • Develop and help implement objectives, solutions and action plans.
  • Analyze data, conduct studies, make recommendations and write reports.
QUALIFICATIONS
  • Bachelor’s degree in statistics, actuarial science or computer science or in a related field.
  • A minimum of four years of a relevant experience or Experience in business intelligence and/or management information and/or data analysis.
  • Knowledge of French is required.
  • Knowledge of SAS and SQL
  • Facility with databases.
  • Knowledge of visualization tools.
  • Knowledge of the financial sector.