Senior Data Engineering Analyst

Area of Interest: 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. This in a dynamic and friendly work environment."

Your job 

• 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.

Your team

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.  You’ll also have access to colleagues with a wide range of expertise, experience, and backgrounds to enrich all aspects of your development.

Prerequisite 

• 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.), desirable.
• Knowledge of one or more data manipulation languages: SAS, SQL, Python.
• Knowledge of agile methodology (Scrum) is an asset.

Skills

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 Your benefits

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.

• Health and wellness program, including many options
• Flexible group insurance
• Generous pension plan
• Employee Share Ownership Plan
• Employee and Family Assistance Program
• Preferential banking services
• Opportunities to get involved in community initiatives
• Telemedicine service
• Virtual sleep clinic

These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family. 
Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged. We're putting people first:

We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people.   Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees. 
We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates What can you bring to our team?
Come live your ambitions with us

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