Senior Business Analyst to support building a data governance model and a data reporting and analytics platform implementation
S.i. Systems
Edmonton, AB-
Number of positions available : 1
- Salary To be discussed
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Contract job
- Published on October 17th, 2025
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Starting date : 1 position to fill as soon as possible
Description
Senior Business Analyst to support building a data governance model and a data reporting and analytics platform implementation
Client preference is 5 days / week in office to start
Must have:
- Senior Business Analyst who has supported building out data governance models in an on prem and cloud (Azure) environment including:
- Data lineage, Data Quality, data stewardship, data protection, data management
- Experience as Business Analyst on Data Reporting and Analytics Platforms (Incorta, Tableau, Snowflake etc) implementations
- Experience developing business requirements for data-driven initiatives involving data lakes, data warehouses, and big data platforms
- Strong experience developing test plans, test cases and supporting business through testing
Nice to have:
- IIBA
- Incorta
- Azure
What you will be doing:
· Gather, document, and validate business requirements for data-driven initiatives involving data lakes, data warehouses, and big data platforms.
· Translate complex business needs into clear, actionable data requirements and user stories for technical teams.
· Analyze existing data flows and reporting structures to identify gaps, inefficiencies, and opportunities for improvement.
· Serve as a liaison between business stakeholders and IT teams to ensure alignment on data architecture and governance standards.
· Support data governance efforts by documenting metadata, data lineage, and business definitions.
· Interpret data outputs and dashboards to provide insights and recommendations that drive business decisions.
· Assist in the development of test cases and validation strategies for data pipelines and reporting solutions.
· Maintain clear and comprehensive documentation for requirement, process flows, and data dictionaries.
· Facilitate stakeholder workshops and interviews to define data ownership, data quality issues, etc.
Requirements
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