Data Analyst

What You Bring

• Bachelor's degree in quantitative discipline (mathematics, statistics, computer science, economics)
• 3+ years of experience in data analytics and good understanding of data architecture.
• Working knowledge of AI and data warehouse concepts and terminology;
• Excellent Excel skills, especially with the use of advanced formulas and macros.
• Strong knowledge of SQL, ETL, Power BI (report design & visualization) and Microsoft Azure.
• Experience in Microsoft Dynamics 365 (asset)
• Experience in analysis, modeling, verification, and development of business and technical requirements methodologies.
• Ability to establish, document and communicate data modeling standards, policies, guidelines, and governance structures. Ability to prioritize projects within timelines.
• Self-motivated and able to work independently
• Excellent oral and written communication skills with the ability to relate and describe situations with data; Ability to explain complex phenomena clearly and concisely to any type of hearing
• Thorough person with a passion for quality and innovative technologies.
• Excellent command of French and English, both oral and written
• We’re always looking for great talent! In addition to competitive pay, we offer:
• Comprehensive benefits and retirement programs
• Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities and product discounts
• #LI-MM2
• This posting represents an existing vacancy within our organization.
• We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

About Us

Qualifications

• Bachelor's degree in quantitative discipline (mathematics, statistics, computer science, economics)
• 3+ years of experience in data analytics and good understanding of data architecture.
• Working knowledge of AI and data warehouse concepts and terminology;
• Excellent Excel skills, especially with the use of advanced formulas and macros.
• Strong knowledge of SQL, ETL, Power BI (report design & visualization) and Microsoft Azure.
• Experience in Microsoft Dynamics 365 (asset)
• Experience in analysis, modeling, verification, and development of business and technical requirements methodologies.
• Ability to establish, document and communicate data modeling standards, policies, guidelines, and governance structures. Ability to prioritize projects within timelines.
• Self-motivated and able to work independently
• Excellent oral and written communication skills with the ability to relate and describe situations with data; Ability to explain complex phenomena clearly and concisely to any type of hearing
• Thorough person with a passion for quality and innovative technologies.
• Excellent command of French and English, both oral and written
• Comprehensive benefits and retirement programs
• Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities and product discounts
• This posting represents an existing vacancy within our organization.
• We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.

Responsibilities

• Support various business requests by being responsible for the optimization and creation of SQL queries.
• Design, build, deliver and manage models and reports using Excel and Power BI.
• Present data from multiple enterprise database sources.
• Participate in the data architecture and data solution design of our various systems.
• Collaborate with analysts in the development of connections and extractions with our various databases (Dynamics 365, Azure, I Hub ingestion).
• Support data validations during the integration of systems under different platforms.
• Analyze impacts in existing systems during change requests; Analyze and collaborate on structural specifications for new software and applications.
• Develop an in-depth understanding of the various processes
• Support process documentation and provide automation recommendations.
• Participate in workshops to gather requirements and provide recommendations for reporting and BI solutions.
• Convert processes into functional requirements clearly and understandable to developers and project teams.
• Leverage knowledge of specific data products available as well as visualization capabilities to improve requirements and offer relevant suggestions to stakeholders.
• Prioritize tasks with the team and ensure the availability of forward-looking roadmaps for features to be delivered on data products under the team's purview.
• Collaborate with the Business Intelligence analysts and IT department in the realization of various requirements, as well as maintenance and evolution activities.