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Sr Data Integration Specialist - Claims Data and Analytics
Sr Data Integration Specialist - Claims Data and AnalyticsCo-operators • Laval, QC, CA
Sr Data Integration Specialist - Claims Data and Analytics

Sr Data Integration Specialist - Claims Data and Analytics

Co-operators • Laval, QC, CA
20 hours ago
Job type
  • Full-time
Job description

Company : CGIC

Department : Business Intelligence

Employment Type : Regular Full-Time

Work Model : Hybrid

Language : English is required, French is an asset.

Additional Information : This / these role(s) is / are currently vacant

The Opportunity :

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients and our communities.

Our Business Intelligence team empowers decision making using leading edge science and analytics. We champion a scientific culture through our passion for continuous learning, diversity and innovation. We strive to deliver a single version of truth, by providing our business partners with access to comprehensive data and valuable insights to help our organization achieve operational excellence.

As a Senior Data Integration Specialist, you’ll independently develop data solutions for analytics and support the team through coaching. This role will focus on building and managing the Claims Data Lakehouse—especially data ingestion and transformation using Azure Data Factory—from sources like ClaimCenter and other third parties, and communicating results to business stakeholders.

How you will create impact :

  • Proficiently working with data engineering tools : general purpose languages used in data engineering or generally in BI and related framework or interfaces, data querying and data handling and DevOps platforms.
  • Debug, analyze, and resolve complex database and SQL issues to ensure optimal performance and stability.
  • Investigate, troubleshoot, and perform root cause analysis on SQL performance issues and data discrepancies.
  • Autonomously contributes to assessing data quality and building automated controls.
  • Define and build data solutions (data models, data pipelines, APIs and more) and support others through execution.
  • Proficiently develop analytic solutions to solve business problems by understanding the role of data in reporting, metrics, predictive models and other analytic solutions within the BI environment.
  • Contribute to the design of analytic solutions, considering scalability, automation, security, long term maintainability and performance.
  • Deeply understand the insurance domain (metrics, KPI, key insurance concepts), business objectives, how your own tasks contribute to meeting the business objectives and how they are connected to enterprise goals.
  • Autonomously and efficiently communicate findings to a business audience.

To join our team :

  • You have 6-9 years of experience in the Data Engineering / Integration or other related field.
  • You have a Bachelor’s degree in, Computer Science or any other relevant field.
  • You have experience solving complex problems by taking a new perspective on existing solutions; and exercising judgment based on the analysis of multiple sources of information by providing clear recommendations for improvement.
  • You have strong knowledge and understanding of data analysis, programing, modeling techniques, data warehouse and data management, research, architecture and design.
  • Experience with following technologies is required : Data Bricks, PySpark, Medallion Architecture, Python, Azure Synapse and T-SQL
  • Experience with following technologies is an asset : Power BI
  • This position primarily works with majority non-francophone groups, and teams located outside of Québec, and requires proficiency in English. The essential non-French duties are not assignable to adjacent or other team members.
  • How you will succeed :

  • You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
  • You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
  • You have strong communication skills to clearly convey messages and explore diverse points of view.
  • You build trusting relationships and provide guidance to support the development of colleagues.
  • What you need to know :

  • You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.
  • What’s in it for you?

  • Training and development opportunities to grow your career.
  • Flexible work options and paid time off to support your personal and family needs.
  • A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
  • Paid volunteer days to give back to your community.
  • In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (, health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.
  • Expected salary range $83,774 - $139,623.

    The salary amount for the successful candidate is determined by Co-operators in its discretion and will vary depending on several criteria including but not limited to : local market conditions, geography and relevant job-related factors such as knowledge, skills, qualification, experience and education.”​

    ​Employees may also have the opportunity to participate in incentive programs and earn additional compensation tied to individual and / or business performance, or other business metrics.​

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    Sr Data Integration Specialist Claims Data and Analytics • Laval, QC, CA

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