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BrusselsHybrid40 hours/week<3months
Provide functional analysis for a project in the energy domain.
- Collect and refine business needs, run stakeholder workshops.
- Build Python prototypes and analyze datasets.
- Produce functional requirements and test artifacts.
- Coordinate integration and acceptance activities.
- Bridge business and engineering teams.
- Oversee deployments and post-release monitoring.
What you do
- Organize and facilitate workshops and backlog refinement sessions; review existing documentation to extract business requirements.
- Develop Python prototypes and perform exploratory data analysis to validate proposed approaches.
- Draft feature-level functional requirements, use cases and process descriptions; author test scenarios.
- Serve as the intermediary between business stakeholders and development teams; run meetings, coach users and support adoption and change activities.
- Plan and execute integration tests and support business users during user acceptance testing.
- Track delivery progress against timelines, raise risks, and monitor production systems after release, performing corrective or maintenance tasks as needed.
What they ask
- At least 2 years of experience.
- Language skills: English (Medium), French (Medium), Dutch (Medium).
- Mandatory technologies: Medallion Architecture, Test Case Design, PowerBI, Python, Insomnia, Stakeholder Management, Data Analysis, production monitoring, Azure SQL DW, Process Design, Functional Database Design, Azure Databricks, SQL, Pyspark, Postman, Integration Testing, API, amazon web service, Acceptance Testing, change management.
Profile
- Experience with: databricks, data management, insomnia, aws, apis, postman, test case writing, data analysis, production monitoring, functional database design, sql, interpersonal skills, python scripting, pyspark, integration testing, stakeholder management, energy market knowledge, data warehousing, change management, agile.
- Preferred Qualifications:
- 3 to 5 years in data management practices.
- 3 to 5 years working with layered data-warehouse architectures.
- 3 to 5 years in logical/functional database design and modelling.
- 3 to 5 years writing and optimizing SQL.
- 3 to 5 years using English in a professional context.
- 3 to 5 years working in Agile teams.
- Under 3 years of experience writing Python scripts for automation or prototyping.
- Under 3 years experience integrating with or designing APIs.
- Under 3 years working with cloud platforms.
- Under 3 years experience with distributed big-data processing frameworks.
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