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

Our company is part of EDP, a global energy group present in around 30 markets with a particular emphasis on renewable energies. With 50 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.

B2C Litigation department is looking for a Data & Process Optimization Specialist.

Join us in transforming the future of Litigation and Debt Recovery through data, AI and digital innovation.

This team analyze large datasets, uncover patterns and develop insights that drive smarter decisions, higher recovery rates and greater operational efficiency. From process optimization and automation to predictive analytics and machine learning, you will help shape solutions that deliver real business impact and accelerate our digital transformation journey.

What you will do:

• Data analysis and decision support:
• Analyze operational, financial, and legal recovery data to identify trends, patterns, deviations, and opportunities.
• Use analytical tools (Power BI, advanced Excel, SQL or similar) to generate actionable insights.
• Create dashboards and simple predictive models to support strategic decisions, such as: recovery probability, process prioritization, portfolio segmentation, profitability assessment.
• Provide clear, evidence-based recommendations to support strategic and operational decisions
• Innovation and Digital Transformation:
• Identify automation opportunities (RPA, workflows, smart forms).
• Support the implementation of tools such as RPA, workflow solutions, smart forms, AI-based classification models, and advanced analytics solutions.
• Contribute to the integration of Artificial Intelligence and data-driven tools into litigation and debt recovery processes.
• Monitor market trends, best practices, and emerging technologies that may improve the performance of the area.
• Proactively propose innovative solutions to reduce costs, increase productivity, and improve recovered amounts.
• Process mapping, analysis, and optimization:
• Map end-to-end processes, identifying bottlenecks, inefficiencies, and improvement opportunities.
• Design future-state processes (as-is / to-be) with a focus on efficiency, cost reduction, and shorter cycle times and improved recovery performance.
• Quantify process performance through operational and financial indicators.
• Identify root causes behind operational inefficiencies and propose practical improvement measures.
• Produce clear documentation: flowcharts, business cases, decision matrices, and performance KPIs.
• Functional requirements definition and writing:
• Translate business needs into detailed requirements for IT, data, and automation teams.
• Support implementation, validation, and testing of new solutions or tools.
• Act as a bridge between business teams and technical teams, ensuring that solutions are aligned with operational needs.
• Support user acceptance testing and post-implementation monitoring.
• Challenge existing practices constructively and promote a culture of continuous improvement.
• Encourage data-based decision-making within the team.
• Support change management initiatives and help embed new ways of working.
• Contribute to increasing operational maturity, efficiency, and accountability across the Litigation and Debt Recovery area.

Employment type: Full-Time

Work site: Hybrid Model

City: Lisbon

What are we looking for:

• Degree in Engineering, Data Science, Mathematics, Statistics, Economics, Management or a related field, combined with a passion for advanced analytics, artificial intelligence and transforming data into business value,
• High-potential professionals with up to 5 years of experience in analytics, process improvement, data-driven decision making or digital transformation, with a strong interest in leveraging AI and advanced analytics to drive business performance,
• Experience with data analytics tools (e.g., Power BI, SQL, Python, R) for creating dashboards, extracting insights, and supporting decision-making.
• Understanding of machine learning concepts and their application to portfolio segmentation, prioritization of legal actions, and trend forecasting.
• Familiarity with process automation technologies (RPA, smart forms, integration platforms).
• Ability to translate business challenges into data and AI requirements, collaborating effectively with data scientists, engineers, and IT teams.
• Ability to work independently, with initiative.
• Previous experience in Litigation, Debt Recovery, or regulated industries.
• Experience in automation or digital transformation or process improvement projects.
• Basic understanding of predictive models or machine learning concepts and their application to portfolio segmentation, prioritization of legal actions, and trend forecasting.
• Experience in cost optimization, operational efficiency, or profitability analysis.
• Experience preparing business cases and supporting management decision-making”

More than academic knowledge and technical skills, we are looking for ambitious people who are enthusiastic about the future and who bring human skills aligned with our purpose.

Equal opportunities for all

Our vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer, ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people, and we are committed to fostering a sense of belonging for each person who is part of the EDP group.

Need more reasons to apply?

As a top employer we:

Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making;

Respect and value each person, providing a flexible, healthy, and inclusive workplace with a range of attractive benefits;

Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility;

Our efforts have resulted in several distinctions over time, highlighting the EDP group's strong positioning and its dedication and commitment to attracting and retaining the best talent:

Top employer certification by Top Employers Institute

Part of the Bloomberg Gender-Equality Index

Top 100 Workplaces by Houston Chronicle

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