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    Senior data engineering analyst - Montréal, QC, Canada - Banque Nationale du Canada

    Banque Nationale du Canada
    Banque Nationale du Canada Montréal, QC, Canada

    3 weeks ago

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    Description
    Business intelligence and data

    A career as a Senior Data Engineering Analyst, SAS, at National Bank means taking part in the transformation and having a direct impact on the customer.

    As a Senior Data Engineering Analyst, you work on innovative projects to analyze and structure data to meet the diverse needs of Credit Risk Analytics and Climate Risks teams.

    Thereby becoming an essential link in creating value and customer impact at the Bank, as well as organizational resilience. Contribute to the design and development of solutions for acquiring structured and unstructured data.
    Support the implementation of data environments enabling analysis for business intelligence, advanced analytics, and artificial intelligence purposes.
    Develop and test data ingestion processes.
    Produce, reconcile, and validate data and their quality indicators.
    Communicate and simplify complex technical concepts to users of analytical platforms.
    Work in an agile/iterative context.

    Within the Credit Analytics and Climate Risks sector, you are part of a department of roughly fifty colleagues and a team of about ten colleagues.

    You report to the Senior Director StressTesting, Risk Data analytics and Climate Risk. Our team stands out for its varied expertise in credit risk and quantitative methods. You enjoy a flexible and hybrid work environment with a target office presence of 40%.
    Our training programs use on-the-job learning to help you master your role.

    You can access personalized training content on such topics as banking solutions and the advisory approach to support your ongoing learning.

    Hold a bachelor's degree and five (5) years of experience; OR a master's degree and three (3) years of experience in in data engineering or related to the field.

    Experience in data manipulation, analysis, and prototyping.

    Experience in risk management (credit, market, operational, etc.), Knowledge of one or more data manipulation languages: SAS, SQL, Python.

    Knowledge of agile methodology (Scrum) is an asset.
    Business Acumen Communication Data pipeline Data-Driven Decision-Making Detail-oriented Diversity & Inclusion Exploratory Data Analysis Initiative Learning Agility Partner Development Problem Solving Python Resiliency SAS SQL

    In addition to competitive compensation, upon hiring you'll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family.

    Flexible group insurance
    Generous pension plan
    Opportunities to get involved in community initiatives
    Virtual sleep clinic
    Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people.

    This includes on-the-job learning and training, co-development and pairing with other employees, professional support and mentoring, internal career days or discussion forums with our leaders.

    We foster inclusion in an environment where each person's unique qualities, whether visible or invisible, are celebrated and valued.

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