About this role
Join a B2B energy team to translate business requirements into robust data solutions for financial closing and reporting, ensuring data quality, auditability, and continuous process improvement. Key responsibilities Translate business requirements into detailed functional specifications and implementation designs for data processing workflows. Develop and modify SQL queries, Dataiku workflows, Python and PySpark recipes to support accurate data transformations and quality controls. Document, validate, and optimize business rules, calculation logic, allocation, pricing and reconciliation processes to maintain consistency and auditability. Define, implement and monitor data quality controls and reconciliation rules, and support audit readiness through traceability and documentation. Coordinate and perform functional testing activities, including defining test scenarios, acceptance criteria, and supporting user acceptance testing. Maintain comprehensive documentation and facilitate knowledge transfer while collaborating with stakeholders to clarify requirements and provide data-driven insights. SQL Python PySpark Dataiku Analytical thinking Stakeholder management Power BI Functional analysis Data quality controls Communication and negotiation Root cause analysis Proactive approach Autonomous working style Documentation discipline Team collaboration Qualifications Bachelor's or master's degree At least 3 years of experience as a Data Analyst or in a similar role Experience in the energy sector Experience in financial closing or the financial sector Experience with Finance, energy supply, utilities, or data platforms Experience with data quality, controls, and reconciliation processes