Systems Analyst, Corporate Asset Data Management Job Listing at City of Edmonton in Edmonton, AB (Job ID 53437)

Description

Are you a technical expert passionate about data integrity, system integration, and turning raw data into meaningful insights? The City of Edmonton's  Enterprise Asset Management (EAM) team is looking for a Systems Analyst to join our innovative and collaborative team. In this role, you will be the technical backbone of our asset data ecosystem, ensuring that high-quality information flows seamlessly across the organization. 

Your work will directly support strategic planning and the effective management of the City's vast infrastructure. If you excel at solving complex technical challenges and thrive in a data-driven environment, we encourage you to apply.

What will you do?

• Oversee and manage data handling, including data entry, monitoring, and quality assurance, across more than 10 distinct corporate systems such as GIS, SAP, and Tririga
• Design, develop, and troubleshoot automated system integrations and data extraction, transformation, and loading (ETL) processes to ensure a seamless flow of information
• Develop and distribute reports, dashboards, and analytical models to provide leaders and stakeholders with timely, data-driven insights
• Drive data governance as "power user," executing routine audits, and collaborating with data stewards to validate quality and enforce organizational integrity standards
• Routinely monitor data uploads and perform audits to validate quality, security, and compliance
• Monitor and analyze Key Performance Indicators (KPIs) for systems and data, translating findings into actionable intelligence that influences business decisions
• Collaborate closely with a network of over 20 data stewards to resolve data discrepancies, enforce governance standards, and promote best practices
• Partner with peers and people leaders to share findings and drive process optimization and system enhancements
• Act as a subject matter expert on data governance, collaborating closely with a network of data stewards to resolve discrepancies, enforce standards, and promote best practices
• Translate business needs from various departments into technical specifications to design sustainable, long-term solutions that improve data flows and s ystem performance