Business Intelligence Analyst - Intermediate (GOAPRDJP00001016)
Client: Government of Alberta
Work Status: Remote with the possibility of up to 15% onsite meetings
Contract Duration: 7 months
Work Location: 7000 - 113 ST, Edmonton, Alberta
Must Have: Education
- Bachelor degree in Computer Science or related field of study equivalencies will be considered.
Must Have: Work Experience
- 5 years direct hands-on experience designing, developing, and optimizing advanced Power BI solutions that transform regulated and complex datasets into actionable insights for policy, operations and executive reporting
- 5 years direct hands-on experience with a comprehensive set of visualization techniques and features that demonstrate both technical depth and storytelling skill using Power Bi.
- 5 years direct hands-on experience in analyzing large complex datasets to perform trend analysis, predictive analytics, and forecasting using Power BI and Azure analytics tools
- 5 years experience in presenting and storytelling to effectively communicate data-driven insights to executives and business users within a government organization.
- 5 years experience understanding and developing requirements for analytical projects.
Nice to Have: Work Experience
- 5 years direct hands-on experience translating business requirements into analytical solutions and communicate findings effectively to both technical and non-technical stakeholders to deliver end to end BI solutions
- 5 years experience combining raw data from a variety of data sources within and across domains.
- 5 years experience dealing with clients and explaining complex data principles in a thoughtful manner.
- 5 years experience developing complex measures, calculated columns, advanced time intelligence using DAX (Data Analysis Expressions) in Power Bi
- 3 years direct hands-on experience in SQL for data transformations querying, and analytical processing in large scale environments
- 5 years experience preparing visualizations, dashboards, and analytical models
- 3 years experience working with large government datasets.
