Serve as a strategic BI partner: translate business needs into semantic models, datasets, dashboards, and advanced analytics. Design and optimize Power BI architecture, improve data workflows using SQL and Google BigQuery, and apply Python for advanced analytics and automation. Define BI development standards, document solutions, and prioritize initiatives for timely, high-quality delivery aligned to business priorities.
Company Description
At UAP, we drive the future of the automotive and heavy vehicle parts industry through unmatched service and innovative solutions. Our passionate team is at the heart of our success. They are dedicated to maintaining strong relationships and delivering exceptional service. Join us and be part of a dynamic company that keeps Canada moving.
Job DescriptionWe are seeking a Senior Data Analyst, Business Intelligence, to play a key role in advancing our data culture and analytical capabilities.
We are looking for a curious, adaptable, and forward-thinking individual who is comfortable working in a constantly evolving technology environment, including the integration of AI-assisted development practices.
Key Responsibilities
- Act as a strategic business partner to understand organizational challenges and define performance indicators aligned with business priorities.
- Translate business needs into comprehensive analytical solutions (semantic models, standardized datasets, dashboards, and advanced analytics) that support decision-making.
- Design, maintain, and optimize the Power BI architecture (star schema modeling, advanced DAX, security, deployment, and incremental refresh).
- Optimize data workflows using SQL and Google BigQuery, and leverage Python for advanced analytics and automation.
- Define business intelligence development standards and ensure proper documentation of solutions to guarantee quality and sustainability.
- Plan and prioritize business intelligence initiatives based on business value, while ensuring quality, timely delivery, and strategic alignment of deliverables.
- Degree in Computer Science, Data Science, Business Analytics, or a related field.
- Minimum of five (5) years of experience in data analysis or business intelligence within a corporate environment.
- Strong expertise in Power BI (star schema modeling, advanced DAX, security, and deployment).
- Excellent proficiency in SQL and experience with Google BigQuery.
- Solid proficiency in Python for advanced analytics and automation.
- Ability to understand business challenges and translate requirements into structured analytical solutions.
- Excellent communication skills in both French and English, spoken and written. In this role, you will regularly collaborate with internal clients across Canada.
UAP is a diverse community that promotes inclusion and respect. The sum of our individual differences, experiences, knowledge, self-expression, unique capabilities and talents represents the richness of our culture. UAP is committed to employment equity and encourages applications from women, visible minorities and people with disabilities. By valuing a diverse workforce, we ensure that our hiring practices are fair and equitable.
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
