SR BI ANALYST in an international insurance company analyzing and visualizing data. Collaborating with Finance and Operations areas to meet information needs.
About the role
- 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.
Benefits
- Job Benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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