Business Intelligence Specialist

  • 38542
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Nov 6, 2020
Insurance
RESPONSIBILITIES
  • Responsible for improving the quality and management of data assets across distribution, finance, actuarial, product domains.
  • Partner with data scientists, IT and Analytics Center of Excellence to establish robust for Insurance Solutions.
  • Lead in migration of all of BI and Insights data foundation to the Enterprise Data Lake.
  • Design and facilitate workshops to understand user needs, set business requirements, and test BI dashboard designs with users.
  • Translate user needs into compelling BI dashboard designs utilizing best practices in infographic design and aligned with the company design language.
  • Illustrate alternative concepts by mocking up sketches or wireframes with consistent and professional layout and visual; rapidly iterate and develop final versions.
  • Direct, organize, and lead projects in the implementation of business intelligence platforms.
  • Build and maintain strong working relationships with the Pricing, Distribution, Operations and IT partners to ensure delivery of initiatives within the area.
  • Act as evangelist for BI benefits across the organization and actively promote BI usage to relevant business areas.
  • Design and deliver end-user training and training materials; provide technical support as necessary.
  • Perform VOC feedback analysis to gain insights, take actions and improve.
QUALIFICATIONS
  • Education background in Math/UI design/Statistics/financial engineering/data analytics.
  • 3+ years of experience in data analytics role with a focus on business intelligence.
  • 1+ years of experience in insurance and financial service industry as an asset.
  • Strong understanding of best practices in data visualization and dashboard design.
  • Practical experience with modern Data Visualization tools such as Tableau and knowledge with cloud-based Big Data tools and platforms.
  • Critical thinking and proactive problem solving.
  • Convey complex design concepts with ease.
  • Deadline oriented with ability to effectively multi-task.
  • Strong passion for enabling performance through data-driven management.
  • Understanding of the insurance industry including products and distribution channels.
  • Experience with data querying languages and techniques, analysis tools, data sources and structures.