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Data Analysis Specialist
1 week ago
The City of Edmonton is seeking a skilled Data Analysis Specialist to support the development, delivery, and management of various strategies for the Parks and Roads Services Branch. This role involves providing guidance and support for the review of business activities, processes, and service requirements to develop solutions that improve processes and productivity.
Key Responsibilities
- Develop, recommend, and implement consistent processes and practices for the Branch
- Identify, develop, and support the implementation of new business processes
- Review existing business processes to identify possible efficiencies and improvements for Parks and Roads Services
- Support the implementation of corporate initiatives including but not limited to service review, foundational assessment, productivity audits, and enterprise performance management
- Implement best practice methodologies, tools, and techniques to conduct process improvement activities in coordination with the Department Strategy teams
Requirements
- University Degree in applied statistics, mathematics, computer science, or a related discipline with a concentration in statistics, research methods, quantitative or qualitative methods
- Minimum 2 years of progressively responsible experience in related work
- Experience in business intelligence tools such as Tableau, Microsoft Power BI, Cognos
Benefits
- Competitive salary range: $41.172-$51.438 per hour, equivalent to $72,534.77-$90,620.9 annually
- Hybrid work arrangement with flexibility to work from home and the worksite
- Opportunities for professional growth and development within the City of Edmonton
About the Role
This permanent full-time position offers a unique opportunity to join the City of Edmonton's team of dedicated professionals working towards improving the quality of life for residents and visitors alike. As a Data Analysis Specialist, you will have the chance to contribute to the development of innovative solutions that drive efficiency and productivity across various departments.