Business Intelligence Analyst
Role Overview
Transforms complex retail and consumer data into scalable, business-ready solutions for client insights, automation, reporting, analytics, and product capabilities.
Works across technical and business teams and with Client Development, Product, Operations, and other stakeholders.
Key Skills for This Role
Full Job Posting
Role overview
Transforms complex retail and consumer data into scalable, business-ready solutions for client insights, automation, reporting, analytics, and product capabilities.
Works across technical and business teams and with Client Development, Product, Operations, and other stakeholders.
Data transformation and activation
- Design, develop, and maintain processes to cleanse, structure, enrich, and convert raw data into business-ready datasets.
- Build and optimize scalable pipelines for reporting, analytics, automation, and client deliverables.
- Identify opportunities to streamline processes and improve efficiency through automation.
Unify development
- Design and implement integrations, including Connector Models and Genius Script reporting within Unify.
- Partner with Product and Engineering to improve platform capabilities and performance; troubleshoot integration and connector issues.
Innovation and solution design
- Explore AI-driven approaches for data preparation, automation, insight generation, and user productivity; identify practical applications with stakeholders.
- Translate business challenges into scalable data solutions, gather requirements, and explain technical concepts to non-technical stakeholders.
- Contribute to best practices, documentation, and knowledge sharing.
Requirements
- At least 5 years of experience in data engineering, business intelligence, analytics, data activation, or a related field.
- Proven experience designing and implementing data transformation and integration solutions.
- Experience working directly with business stakeholders to define requirements and deliver solutions.
Location
- Position can be located remotely in Canada.
Compensation
- Posted salary range is CAD $65,000 to $72,000; no pay cadence is stated.
Benefits
- Benefits include paid time off, medical, dental, and vision insurance, and RSP matching for eligible employees.
Application notes
- The role is subject to AI-assisted resume screening.
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