System Analyst, Intermediate
Role Overview
The intermediate business system analyst bridges business requirements and technical data solutions.
The role supports design and delivery of data and analytics solutions in collaboration with business stakeholders and IT teams.
Key Skills for This Role
Full Job Posting
Role overview
The intermediate business system analyst bridges business requirements and technical data solutions.
The role supports design and delivery of data and analytics solutions in collaboration with business stakeholders and IT teams.
Work arrangement
- Candidates must work in-office at least three days and up to five days per week in Guelph, Ontario.
Responsibilities
- Translate business needs into functional, system, and data requirements for analytics and reporting.
- Evaluate systems, data flows, and integrations for gaps, risks, and optimization opportunities.
- Collaborate with stakeholders and IT teams to align solutions with business objectives and technical standards.
- Support data and analytics solution design and delivery, including integrations, pipelines, and reporting platforms.
- Maintain requirements, data mappings, process flows, and technical specifications.
- Support system testing and user acceptance testing.
- Troubleshoot system and data issues, conduct root cause analysis, and coordinate resolution.
- Support data ingestion, transformation, and validation in Microsoft Fabric.
- Develop and maintain SQL queries for reporting and analytics.
- Maintain analytics data models and support accurate, consistent Power BI datasets and reports.
- Work with data engineers on data governance and quality standards.
Education and experience
- Bachelor’s degree or equivalent practical experience.
- At least four years of system or business analyst experience and a strong understanding of system analysis concepts and data flows.
- Proven experience building, training, testing, and deploying machine learning models.
- Strong foundation in statistics, linear algebra, calculus, and computer science.
- Experience in data science analysis, tooling, and applied methodologies.
- Experience with Power Platform and/or a professional development stack.
- Experience with Power BI and Microsoft Fabric.
- Working knowledge of SQL and data warehouse concepts.
- Experience leading AI-related initiatives such as machine learning and deep learning within applications.
Additional qualifications
- Experience supporting analytics or reporting solutions; Power BI is preferred in this qualification.
- Strong analytical, problem-solving, documentation, stakeholder communication, and attention-to-detail skills.
- Knowledge of Microsoft Fabric Lakehouse, pipelines, and data models.
- Familiarity with Power BI datasets, reports, and basic DAX.
- Understanding of ETL and data integration concepts, data governance, and data quality practices.
Benefits and employer
- Benefits include drug, dental, and vision coverage, along with career advancement opportunities.
- The employer also mentions sustainability, community outreach, and local vendor and event discounts.
- Linamar is a Canadian-founded global manufacturer focused on engineering and product development.
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