Serve as liaison between business stakeholders and technology to elicit requirements, evaluate solutions, and drive delivery of BI and data initiatives. Model and map processes, write SQL, support integration mapping, manage ADO/Agile product ownership, create technical documentation, and use BI tools (Power BI, Qlik, MicroStrategy). Ensure data governance, metadata management, and payments domain alignment while managing multiple projects and stakeholders.
Company Description
Finance
Job DescriptionThe Senior SPMO Business Intelligence Analyst - Temp uses strong consultative and analytical skills to elicit or identify business and technical requirements, evaluate solutions, and recommend approaches that support project and operational objectives. This role serves as a liaison between business stakeholders and technology teams to drive the successful delivery and ongoing support of new and enhanced processes, products, and services on time and within budget.
Requirements:
- Bachelor’s degree in Business Administration, Information Science, Data Science, Applied Mathematics, Business Intelligence, or a related quantitative discipline, or an equivalent combination of education and experience is required.
- Master’s degree in Information Systems, Data Science, or Business Administration is preferred. Certifications in Agile-scrum preferred.
- 10+ years of business analysis experience required, including Business Systems Analyst experience.
- 5+ years’ experience modeling and mapping business processes, writing SQL queries, and supporting integration mapping.
- 5+ years’ experience eliciting requirements, facilitating project and enhancement planning, and creating technical documentation.
- 2+ years experience with Azure DevOps - ADO, Agile, Kanban, and product ownership required.
- Project management experience (minimum 2 years) is preferred, including leading cross-functional initiatives and managing timelines and deliverables.
- Experience with OnePlan is preferred but not required.
- Strong analytical, organizational, and communication skills.
- Proven ability to manage multiple projects and meet deadlines in a fast-paced environment. Skilled in stakeholder engagement, consensus building, and cross-functional collaboration.
- Advanced proficiency in BI tools (e.g., ADO, Power BI, Qlik, MicroStrategy).
- Understanding of machine learning concepts and data architecture.
- Knowledge of data governance, metadata management, and the payments industry.
Self-motivated, results-driven, and adaptable to changing priorities.
Additional InformationAll your information will be kept confidential according to EEO guidelines.
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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)
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- 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
