Business Intelligence Analyst developing reporting and analytics solutions for GS1 Canada. Collaborating with cross-functional teams to enhance data governance and automation within the organization.
Responsibilities
Confer with internal clients and stakeholders to gather and document business requirements.
Conduct root cause analysis to assess business needs, success criteria, and timelines for reporting and analytical solutions.
Design, develop, integrate, test, and implement business intelligence and reporting solutions using SQL, Excel, VBA, Power BI, Python, and other database technologies.
Refresh and enhance GS1 Canada’s TrueSource™ Dashboard, ensuring its continued accuracy, usability, and relevance to industry stakeholders.
Support the optimization of ETL processes, data models, and workflows to strengthen data quality and accessibility.
Conduct detailed system tests, validating data accuracy and functionality prior to deployment.
Resolve data inconsistencies and identify opportunities to improve data quality and reliability.
Produce reports, technical documentation, and Standard Operating Procedures (SOPs) to support data management and reporting standards.
Support data governance initiatives by maintaining consistent data definitions, naming conventions, and documentation practices.
Schedule and automate recurring tasks to reduce manual effort and increase departmental efficiency.
Develop KPIs, dashboards, and forecasting models that support continuous improvement and data-driven decision-making across GS1 Canada’s Industry Managed Solutions.
Requirements
Bachelor’s degree in business, Computer Science, Statistics, or a related field.
1–3 years of experience in a Business Intelligence, Data Analyst, or analytics-focused role.
Strong proficiency in SQL, Power BI, Excel (including Power Query and VBA), and relational databases.
Experience with Python for data manipulation and automation.
Knowledge of data modeling concepts, ETL processes, and BI best practices.
Experience validating, troubleshooting, and improving data quality.
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