Data Solutions Analyst designing enterprise data systems for the Alberta Office of Statistics and Information. Building data pipelines, ensuring data quality, and supporting policy decisions across government.
Responsibilities
Design, build, and maintain scalable data pipelines to support growing data volume and complexity
Develop and maintain ETL/ELT processes and API integrations
Clean, structure, and integrate data from multiple internal and external sources into the OSI data warehouse
Maintain metadata and ensure data quality, integrity, and accessibility
Document data processes and workflows for audit, continuity, and knowledge sharing
Implement and oversee data security controls to protect sensitive government information
Administer OSI’s secure data analysis lab, including access controls and audit processes
Manage data-sharing agreements and ensure compliance with privacy and security requirements
Build data tools, reports, and visualizations that support policy, program, and resource decisions
Support data scientists and analysts by enabling efficient access to clean, well-structured data
Deploy analytical models into production environments and monitor performance
Enhance OSI’s website with interactive data products and visual tools
Act as a subject matter expert on data infrastructure and data availability
Work with internal and external partners to support data needs and resolve technical issues
Represent OSI on cross-ministry data initiatives and infrastructure projects
Requirements
A university degree in computer science, Information Technology, Applied Mathematics, Statistics, or a related field plus a minimum 4 years of experience working with SQL (advanced SQL required; NoSQL is an asset).
Hands-on experience with data pipelines, ETL/ELT processes, and data warehousing
Hands-on experience with SQL Server, including T-SQL, SSIS, SQL Server Agent, and SSAS Tabular model
Experience working with big data platforms
Experience working with large, complex, and unstructured datasets
Experience using visualization tools such as Power BI
Strong understanding of data modeling, data integration, and metadata management
Proven ability to work with business users to define data needs
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