Analyst, Business Systems (Data and Analytics)

Canada Infrastructure Bank•Toronto, ON

2d•Onsite

About The Position

Headquartered in Toronto, the Canada Infrastructure Bank (CIB) is responsible for investing in new infrastructure projects. The CIB’s mission is to work with provincial, territorial, municipal, federal, Indigenous and private sector investor partners to transform the way infrastructure is planned, financed and delivered in Canada. The Analyst, Business Systems, is based in Toronto and reporting to the Manager, Information Technology, requires deep expertise in data, analytics and modern data architecture using Microsoft Fabric. This role sits at the intersection of business strategy, data engineering, analytics and platform architecture, ensuring business requirements are translated into scalable, governed and trusted Fabric-based data products. The analyst will work across the full delivery lifecycle—from discovery and problem framing to data design collaboration, backlog refinement, testing and production support—ensuring data products meet quality, security, governance and performance expectations.

Requirements

Undergraduate degree in information systems, business, finance, computer science or equivalent
Two to four years of experience in a similar role
Experience with Microsoft Fabric, including: Lakehouse and/or warehouse, Data Factory pipelines, Notebooks (Spark), OneLake architecture
Two to four years of experience in data analysis and reporting, preferably with Power BI
Ability to work independently with excellent organizational and priority management skills
Knowledge of AI/ML architectures, Generative AI, LLMs, vector databases, and MLOps/LLMOps practices.
Strong proficiency in DAX, Power Query (M) and data modelling concepts
Strong SQL skills and experience with data modelling for analytics
Good understanding of ETL processes and data warehousing principles
Excellent analytical and problem-solving skills
Strong written and verbal communication skills with the ability to interact with technical and non-technical stakeholders
Sense of initiative, entrepreneurial spirit
Experience in agile methodologies and project management

Nice To Haves

Experience with Microsoft Purview, an asset
Experience with Microsoft Power Platform (Power Apps, Power Automate),an asset
Knowledge of Azure services (Data Lake, Synapse, Data Factory, etc.)
Familiarity with CI/CD for data pipelines (Azure DevOps, Git)
Familiarity with governance and security best practices in Power BI
Bilingual English/French, an asset

Responsibilities

Business and requirements analysis (core BSA)
Lead discovery and analysis sessions to understand business objectives, reporting needs, KPIs and operational processes
Translate business needs into: Epics, features and user stories, Functional and non-functional requirements, Clear acceptance criteria aligned to data outcomes
Develop and maintain key artifacts: Business and data requirements documentation, Process flows and use cases, Business glossaries and metric definitions
Serve as the primary liaison between business stakeholders and Fabric delivery teams
Microsoft Fabric data architecture enablement
Experience with data modelling: Dimensional modelling (facts, dimensions, measures), Transactional vs. analytical data structures, Data grain and aggregation strategies
Experience contributing to enterprise data warehouse design, including: Subject-area modelling, Historical data handling, Data retention and archival strategies
Understanding of: Query performance considerations from a modelling perspective, Partitioning and summarization concepts (at a requirement/design level), Ability to assess downstream reporting impact of modelling decisions
Define and document: Source-to-target mappings, Transformation logic and business rules, Data lineage and traceability across Fabric workloads
Support design and delivery across Fabric workloads, including: Data engineering (lakehouse, notebooks, pipelines), Data warehouse (T-SQL analytics), Real-time analytics (event-based use cases, where applicable)
Microsoft Fabric and Power BI–specific skills
Experience with Power BI semantic models, including: Measures, hierarchies and relationships, Dataset reuse across multiple reports
Familiarity with self-service enablement patterns in Fabric: Certified and promoted datasets, Workspace design for business domains, Shared OneLake data products
Strong understanding of self-service BI and analytics concepts
Experience enabling business users to create their own reports and dashboards using governed datasets
Ability to define semantic layer requirements that balance flexibility and control
Experience documenting: KPI logic and calculation rules, Business-friendly data definitions, Reporting usage and limitations
Strong data literacy and ability to explain data concepts to non-technical audiences
Understanding of Direct Lake vs. Import trade-offs from a business perspective
Ability to support Power BI report validation and UAT with business stakeholders
Governance and controls for self-service analytics
Ensure self-service reporting adheres to: Enterprise data governance standards, Security, privacy and access controls, Metric consistency across domains
Partner with governance teams to: Maintain business glossaries and metadata, Ensure discoverability through Microsoft Purview, Help prevent metric duplication and “multiple versions of the truth” by enforcing standardized definitions and datasets
Support AI and machine learning initiatives through data preparation, feature engineering, validation, and performance monitoring.
Experience evaluating the effectiveness of AI-enabled solutions and recommend continuous improvements.