Data Analytics & data scientist – Energy Forecasting
Overview
This position focuses on supporting business functions within the Utilities and Energy sector by leveraging analytics, forecasting, and engineering capabilities. The role drives actionable insight through business intelligence and data engineering, using state-of-the-art analytical tools and programming techniques to resolve complex challenges.
Key Responsibilities
- Business Intelligence
- Develop, optimize, and maintain dashboards and data models to deliver meaningful insights supporting business decision-making within the Utilities and Energy domains.
- Utilize Dataiku, leveraging both visual and code recipes as well as Python notebooks, to perform advanced data analysis and predictive modeling.
- Produce regular and ad-hoc analytical reports related to forecasting, performance metrics, and trend analysis.
- Collaborate with stakeholders to understand business problems and translate them into analytical solutions.
- Data Engineering
- Extract, transform, and load data from various sources using SQL and Python to ensure data accuracy, availability, and quality.
- Design and maintain robust, scalable data pipelines supporting advanced analytics and forecasting requirements.
- Work within an Agile organisation, participating in sprints, backlog refinement, and daily stand-ups to ensure timely and effective delivery of data products.
- Tooling & DevOps
- Apply knowledge of Azure DevOps to streamline and automate workflows, version control, and deployment of analytics solutions.
- Utilize Power BI where necessary to visualize and present data to technical and non-technical stakeholders.
- Project Involvement & Communication
- Engage with interdisciplinary teams across ICT and business units to support the resolution of complex issues through data-driven methods.
- Document methodologies, workflows, and outcomes to ensure transparency and knowledge transfer.
- Present findings and recommendations in clear, actionable formats to audiences across different departments.
Required Skills
- Hands-on experience with Python scripting for analytical tasks and automation.
- Advanced skill in SQL Server for data querying, manipulation, and integration.
- Proficiency in using Dataiku, specifically visual recipes, code recipes, and notebooks.
- Knowledge of business processes and forecasting practices within the Utilities and Energy landscape.
- Familiarity with Azure DevOps for workflow and deployment management.
- Experience with Agile methodologies.
- Ability to use Power BI for data visualization.
Languages
- Fluent English
- Working knowledge of French or Working knowledge of Dutch
We are looking for candidates who possess a unique blend of technical expertise and analytical curiosity, enabling them to thrive at the intersection of data analysis, advanced modeling, and operational improvement. The ideal individual demonstrates a passion for leveraging data-driven solutions to support business decision-making, particularly within the fast-evolving energy sector.
- Analytical Thinker: Naturally investigates underlying patterns and data variances, approaching problems methodically and with scientific rigor.
- Technical Proficiency: Brings solid experience in Python and SQL, coupled with hands-on familiarity with Dataiku visual recipes. Adept at working with business intelligence tools such as Power BI and managing collaborative data projects in environments like Azure DevOps.
- Statistical and Machine Learning Insight: Shows a keen understanding of statistical principles and modern machine learning approaches, with the curiosity to continually enhance forecasting accuracy and process efficiency.
- Business Acumen: Understands the nuances of the energy market, especially aspects related to energy volume forecasting, and appreciates how data models impact pricing and forecasting activities.
- Collaborative Mindset: Enjoys working closely with business experts and data engineers, appreciating the value of teamwork across technical and non-technical stakeholders.
- Process Improvement Orientation: Actively seeks ways to industrialize and streamline data workflows, advocating for scalable, reliable, and modern approaches over legacy systems.
- Effective Communicator: Can clearly express complex concepts in English, with working proficiency in French and/or Dutch to foster collaboration in a multilingual setting.
- Quality Focused: Demonstrates best practices in data quality checks, versioning, and automated monitoring, showing attention to detail and a commitment to operational excellence.
- Proactive Learner: Stays updated with emerging trends in analytics, machine learning, and data engineering, ready to adapt to new tools or industry developments.
We value candidates who are resourceful, innovative, and enthusiastic about taking ownership of their contributions within a Center of Expertise, eager to enable impactful improvements through both technical skill and business understanding.
Vergelijkbare banen
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