Functional Data Analyst
Summary
Functional data analyst for an energy-sector client in Brussels: leads workshops, gathers requirements from business users, builds Python PoCs, performs data analysis, writes functional specs and test cases, and acts as the liaison between business and development teams. Core stack: SQL, Python, and data warehousing (Medallion architecture), with AWS/Databricks as nice-to-haves.
The role involves a comprehensive engagement with functional aspects of projects, serving as a representative of user needs across various domains such as purchasing, supply chain, finance, production, and HR.
Main Responsibilities:
- Participate or lead workshops and grooming sessions.
- Analyze existing documentation to gather requirements from business users.
- Create Proof of Concept (PoC) in Python.
- Conduct data analysis.
- Develop functional specifications including PBI, use cases, and process design.
- Craft test cases and perform integration testing.
- Act as a liaison between the business and development teams.
- Assist the business during acceptance testing.
- Ensure quality deliveries and adherence to deadlines.
- Monitor and maintain production systems.
Key Requirements:
- Experience in data management.
- Knowledge and skills in the energy market industry.
- Proficiency in SQL queries and Python coding/scripting.
- Ability to work in a fast-paced, multidisciplinary environment while maintaining strict data privacy.
- Strong interpersonal skills to engage with diverse stakeholders and incorporate feedback.
- Uncompromising integrity and ethical standards.
- Familiarity with data warehousing, specifically Medallion architecture.
- Functional database design and modeling experience.
- Agile methodology experience.
- Capacity to abstract complex topics into more generic discussions.
- Creative problem-solving mindset, especially in digital initiatives.
Nice to Have:
- Experience in scripting with Python.
- AWS knowledge.
- Familiarity with APIs and their usage.
- Understanding of energy forecasting activities.
- Knowledge in portfolio management, risk management, or trading.
- Experience with Databricks or PySpark.
- Familiarity with tools such as Insomnia or Postman.
Other Details:
This position involves working within the energy sector, focusing on data-related tasks, and may require collaboration across different teams and projects. The role is structured to ensure compliance with all delivery deadlines and project objectives while maintaining high standards of data integrity.