s a Business Intelligence Engineer with a focus on finance, you will be primarily responsible for maintaining our budgeting application (Board). You’ll work closely with a Data-Ops Engineer in a peer-based setup, ensuring mutual backup and interchangeability. While your counterpart focuses on infrastructure and automation, your emphasis will be on data analysis, gathering user requirements, and developing reports and Board screens

Our team promotes collective intelligence and encourages each member to actively contribute to MSF’s transformation into a data-driven organization. We are currently reshaping our data stack using cutting-edge tools like Power BI, Microsoft Fabric, and Databricks to support ambitious operational projects. As an innovation incubator, we also lead MSF’s AI discovery efforts, ensuring our infrastructure evolves to keep pace with the latest AI trends.

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• Maintain our Board | The Enterprise Planning Platform :
  • Support and enhance the CPM Board application (Board | The Enterprise Planning Platform) in close collaboration with the Finance and Application Support Unit (FASU) and a peer Data Engineer
  • Perform technical analysis, development, testing, deployment, and provide second-line troubleshooting
  • Maintain and develop data pipelines to and from Board, ensuring reliable data flow and integration
  • Translate business processes into actionable Board enhancements and compelling data stories
• Develop Fabric data pipelines, semantic models, and reports, covering the full lifecycle: specification, development, testing, deployment, documentation, and support

Qualifications

Education & Experience

• Master’s degree in computer science, Data Science, Accounting, Finance, or equivalent through experience
• Minimum 2 years of experience as a Financial Data Analyst or in a similar role
• Experience in Python (or a similar language) for data manipulation and integration

Competencies

• Solid understanding of forecasting and budgeting processes
• Strong command of SQL is mandatory
• Proficiency in Power BI is mandatory
• Strong problem-solving analytical thinking skills
• Familiarity with Microsoft Fabric (Engineering) is a strong asset
• Knowledge of Board CPM or similar Corporate Performance Management tools is a strong asset

Languages

• Proficient level in English, both written and spoken is mandatory
• Good knowledge of French is an sset

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