Business Intelligence Analyst

4 weeks ago

Toronto, Ontario, Canada Randstad Canada Full time
Business Intelligence Analyst Job Description

We are seeking a highly skilled Business Intelligence Analyst to join our team at Randstad Canada. As a Business Intelligence Analyst, you will play a key role in helping our clients make informed business decisions by analyzing and interpreting complex data.

Key Responsibilities:
  • Oversee business intelligence tools within the National Capex Controls team
  • Create and maintain a document repository for user documentation, illustrations, and guidelines
  • Develop, automate, and maintain complex Power BI dataflows, data warehouses, reports, and dashboards to provide meaningful insights to senior leadership
  • Perform day-to-day general administration on Power BI service and act as administrator of the team's Power BI and SharePoint workspaces
  • Maintain data warehouse and apply industry best practices to improve existing structures as required
  • Work with SharePoint & Oracle Financial Systems (Oracle Fusion, OTBI, Smartview/Essbase) to extract and automate data flows and data storage
  • Analyze large financial datasets and gather an in-depth knowledge of the department's CAPEX portfolio
  • Design & develop workflow processes and tools/systems that allow the team to achieve greater efficiency
  • Support the manager with capital spend reporting packages, business cases, presentations, and ad hoc analysis
Requirements:
  • Minimum 3 years of relevant work experience
  • University Degree in computer science, computer engineering, economics, or related field
  • Advanced knowledge of Power BI (DAX), and Power Query M Formula Language, Power FX, Typescript
  • Proficient with Office 365 suite of products with an emphasis on Excel & VBA and MS Power Platform.
  • Ability to work with large datasets and handle multiple priorities
  • Autonomous self-starter with the ability to work collaboratively
  • Excellent communication (written and verbal) and interpersonal skills
Nice to Have:
  • Proficient working knowledge of programming languages for the purposes of visualizations such as Python or R would be considered an asset
  • Previous work experience with financial data would be considered an asset

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