AI-Driven Data & Process Optimization Specialist

EDP; Lisboa; Hybrid; EUR 42,000 - 63,000; Full time

Job summary

EDP, a global energy group, invites applications for a Data & Process Optimization Specialist in Lisbon. You will analyze large datasets, design dashboards, and develop predictive insights to optimize litigation and debt recovery, while driving digital transformation through automation and AI-enabled tools.

Join a hybrid work environment in Lisbon, contributing to cost reductions, operational efficiency, and evidence-based decision making within a leading energy company focused on green

Qualifications

• Degree in Engineering, Data Science, Mathematics, Statistics, Economics, Management or a related field.
• Up to 5 years of experience in analytics, process improvement, data-driven decision making or digital transformation.
• Experience with data analytics tools (Power BI, SQL, Python, R) for dashboards and insights.
• Understanding of machine learning concepts and their application to portfolio segmentation and forecasting.
• Familiarity with automation technologies (RPA, smart forms, integration platforms).

Responsibilities

• Analyze operational, financial, and legal recovery data to identify trends and opportunities.
• Create dashboards and simple predictive models to support strategic decisions.
• Identify automation opportunities (RPA, workflows) and support implementation of new tools.
• Map end-to-end processes and design future-state processes for efficiency and reduced cycle times.
• Translate business needs into detailed IT and data requirements and support testing and validation.

Skills

Analytical thinking

Problem solving

Communication

Education

Engineering or related field

Tools

Power BI

SQL

Python

R

Excel

Job description

EDP, a global energy group, invites applications for a Data & Process Optimization Specialist in Lisbon. You will analyze large datasets, design dashboards, and develop predictive insights to optimize litigation and debt recovery, while driving digital transformation through automation and AI-enabled tools.

Join a hybrid work environment in Lisbon, contributing to cost reductions, operational efficiency, and evidence-based decision making within a leading energy company focused on green