SAS Business Intelligence Advisor in Montréal

SAS Business Intelligence Advisor in Montréal

Montréal Full-Time 98145 - 119955 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Collect and analyse data to support business decisions and improve processes.
  • Company: Join a leading company committed to equity, diversity, and inclusion.
  • Benefits: Competitive salary, flexible vacation, pension plan, and health insurance.
  • Other info: Hybrid work environment with a focus on career growth and accessibility.
  • Why this job: Make an impact by transforming data into actionable insights for businesses.
  • Qualifications: Bachelor’s degree in business intelligence or IT with SAS and SQL experience.

The predicted salary is between 98145 - 119955 $ per year.

As an SAS business intelligence advisor, you collect and valorize data that comes from different channels.

You give meaning to data by extracting, describing and analyzing it in order to facilitate business decision-making.

You assist clients on analytics development initiatives that involve using data tailored to business needs.

You work on complex business projects and initiatives using data from the databases.

You use your analytical skills and detailed knowledge of your line of business.

More specifically, you will be required to

  • Use database management systems and extract relevant data.
  • Identify opportunities to improve methods and processes, and recommend improvements to data management tools.
  • Oversee the operation of databases.
  • Conduct research and descriptive and diagnostic analysis to ensure optimal data use. Make recommendations in line with business issues and needs.
  • Make recommendations to support business decision-making.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment
  • *Benefits apply based on eligibility criteria
  • #LI-Hybrid

What you bring to the table

  • Bachelor’s degree in business intelligence or information technology
  • A minimum of four years of relevant experience in developing queries
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Programming experience in SAS and SQL
  • Knowledge of French is required
  • Knowledge of data warehouses
  • Business insight, Complexity
  • Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion.

We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.

At Desjardins, we have zero tolerance for discrimination of any kind.

We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know.

We can provide accommodations at any stage in the recruitment process.

Just ask!

  • Trade Union (If applicable)
  • Job Family
  • Data (FG)
  • Unposting Date
  • 2026-11-4
  • #J-18808-Ljbffr

SAS Business Intelligence Advisor in Montréal employer: Relevance

Desjardins est un employeur de choix, offrant un environnement de travail inclusif et dynamique au Bas-Saint-Laurent et en Gaspésie — Îles-de-la-Madeleine. Avec des avantages tels qu'un salaire concurrentiel, un régime de retraite à prestations déterminées et des opportunités de développement professionnel, nous valorisons le bien-être de nos employés tout en favorisant une culture de collaboration et d'engagement. Rejoindre notre équipe, c'est contribuer à un mouvement coopératif qui place les membres et clients au cœur de nos actions.

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Contact Details:

Relevance Recruitment Team

We think you need these skills to ace SAS Business Intelligence Advisor in Montréal

Data Analysis
Database Management Systems
SAS Programming
SQL Programming
Business Intelligence
Descriptive Analysis
Diagnostic Analysis