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Company | Southern Alberta Institute of Technology (SAIT) |
Address | Calgary, Alberta, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Transportation, Logistics, Supply Chain and Storage |
Expires | 2023-06-29 |
Posted at | 11 months ago |
SAIT’s Business Intelligence and Analytics department supports the institution with market intelligence and business analysis. Our unique in-house research team, through consultation and the study of industry changes, labour markets and SAIT’s programming and products, helps inform essential business decisions.
- Responsible for maintenance and enhancements of existing Business Intelligence (BI) solutions that Business Intelligence and Analytics use to support reporting
- Drive continuous improvement in BI solutions
- Implement operational processes to assess, maintain and continuously improve solutions
- Manage existing solutions for data management and integration to enable institutional analysis and strategic research functions within Business Intelligence and Analytics
- Prioritize and plan solution enhancements
- Responsible for maintaining and updating documentation for Business Intelligence (BI) solutions ensuring standards are applied and documented
- Research and design solutions for advanced/predictive analytics and machine learning
- Create, populate and maintain data entities in Azure environment including objects in data lake storage, schemas, tables, and views in SQL database/warehouse
- Execute data conversion as needed for migrating historic data from legacy solutions to Azure cloud environment
- Represent Business Intelligence and Analytics on cross-functional teams and committees executing data lake and data warehouse projects
- Collaborate with SAIT ITS Data Engineers to ensure that solutions and models are synthesized with the overall SAIT data architecture and deployment plans are in place
- Develop pipeline specification documentation, test plans, data mart conceptual and logical models, and supporting documentation that meet SAIT data lake patterns and standards
- Develop ETL/ELT pipelines Azure synapse to ingest, transform and populate Azure data warehouse
- Implement error handling and data quality monitoring as part of solution development
- Develop project plans complete with the collection and translation of business requirements into business intelligence solutions, resource needs and timelines
- Maintain currency in the field of data warehousing and BI in the post-secondary sector; share new knowledge with BI&A team members
- Independently design and implement new sustainable solutions to integrate internal and external data to support BI tools and analysis, including advanced analytics models
- Collaborate with Business Intelligence and Analytics data stewards and DQM leads to ensure data governance processes and workflows are executed as part of the solution development
- Lead project execution including tasks required of other Business Intelligence and Analytics team members
- Competent in data visualization
- Technical post-secondary credential in a field related to database development, business intelligence or information technology
- Proficient programming skills using SQL, R, and/or Python
- Strong technical documentation skills
- Ability to prioritize tasks and align them with competing and changing deadlines
- Competent in data modeling
- Understanding of data quality management practices
- Strong analytical capabilities and critical thinking skills
- Collaborative mindset
- Strong communication skills
- Solid understanding of Business Intelligence
- Experience working with a cloud data warehouse
- Experience implementing data integration solutions
- High level of proficiency with databases, ETL/ELT processes and pipeline development
- Microsoft Azure Data Engineer Associate certification
- Two years proven related experience in a post-secondary experience environment
- Experience with Banner
- Bachelor or Masters Degree
- Experience with Oracle and SQL server databases
- Experience with MS Azure
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