Data Specialist Advisor

  • 38978
  • Non-Life - Data Science
  • |
  • Quebec, Canada
  • |
  • May 27, 2020
  • Developing and maintaining data models for use in advanced analytics.
  • Advising on potential solutions for various data management-related issues.
  • Analyze data and data structures, as well as the design and build of all forms of database schemas to support a wide range of strategies for secure data acquisition, data cleansing and blending, data storage, analysis and modeling.
  • Responsible for communication of data management needs and process steps in non-technical language.
  • Responsible for communication of data engineering steps required to industrialize an advanced analytics model in technical language.
  • Developing or improving existing processes.
  • Keeping pace with new advancement in data management and advanced analytics, intent on applying them to your work.
  • Coaching or more junior staff to help disseminate expertise.
  • A bachelor degree in Statistics, Mathematics, Computer Science or Actuarial Sciences.
  • Minimum of 3 years working across BIG or complex data sets in a statistical / analytical role: academic work experience may be considered.
  • Experience with open source cloud-based platforms, Microsoft Azure, or any other public / private cloud based platforms.
  • Expertise in working with structured data; apply methods, technologies and techniques that address data architecture, integration and governance of data.
  • Experience in database concepts, data modelling; data integration including design and architecture.
  • Knowledge of master data management principles and experience with data catalog applications.
  • Expertise in working with unstructured data; ability to apply semantic correlation, ontology and text analytics techniques and systems to analyze non-structured data and identify critical insights for overall business analytics across various domains.
  • Possess solid skills in SAS, SQL, R, and Python.
  • Provide thought-leadership and dependable execution on diverse projects.
  • Relevant P&C insurance experience is an asset.
  • English proficiency, both oral and written Bilingualism is an asset.
  • Client-focused, adaptable, team-oriented, curious, can-do attitude, good synthesizing, communication and stakeholder management skills.