Gestor de Serviços Pleno - Procurement

act digital; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

act digital is seeking a Fraud Monitoring Service & Product Analyst to own and evolve fraud monitoring services. You will analyze performance, fraud trends, and market developments to identify enhancements and new capabilities.

Collaborate with customers and stakeholders to translate requirements into actionable improvements. The role emphasizes data-driven decision making, KPI monitoring, and creating dashboards with Power BI, SQL, and Python to enable strategic decisions and continuous service

Qualificações

• Experience in Service Management, Product Management, Business Analysis, or similar roles.
• Strong analytical skills with experience manipulating and interpreting data to support business decisions.
• Experience working with business stakeholders and cross-functional teams.
• Ability to manage services or products throughout their lifecycle while balancing customer needs and business priorities.

Responsabilidades

• Take ownership of assigned fraud monitoring services, ensuring their performance, quality, and continuous evolution.
• Analyze historical service performance, fraud trends, and market developments to identify opportunities for service enhancements and new capabilities.
• Propose innovative improvements that help reduce fraud exposure while increasing the overall value delivered to customers.
• Monitor service KPIs and proactively identify optimization opportunities.
• Analyze large datasets to identify fraud patterns, operational trends, and business opportunities.
• Develop reports, dashboards, and performance indicators to support strategic and operational decision-making.
• Transform complex findings into actionable recommendations for stakeholders.
• Define and improve service reporting to ensure accurate performance monitoring.
• Act as the primary owner of the assigned service, maintaining understanding of its history and needs.
• Support customer governance meetings with insights and strategic recommendations.
• Collaborate with customers to understand business challenges and identify improvement opportunities.
• Ensure high levels of customer satisfaction by managing feedback and preventive actions.
• Work with Product, Data, Operations, and Business teams to align customer needs with service evolution.
• Translate requirements into clear functional and technical specs for new features.
• Contribute to development of new fraud monitoring capabilities and enhancements.
• Maintain comprehensive service documentation including KPIs and procedures.

Conhecimentos

Service Management

Product Management

Business Analysis

Requirements Gathering

Process Improvement

Customer Success

Ferramentas

SQL

Power BI

Python

Excel

Descrição da oferta de emprego

As a Fraud Monitoring Service & Product Analyst, you'll be responsible for managing and continuously improving fraud monitoring services, ensuring they deliver maximum value to customers while adapting to evolving fraud trends.

• Take ownership of assigned fraud monitoring services, ensuring their performance, quality, and continuous evolution.
• Analyze historical service performance, fraud trends, and market developments to identify opportunities for service enhancements and new capabilities.
• Propose innovative improvements that help reduce fraud exposure while increasing the overall value delivered to customers.
• Monitor service KPIs and proactively identify optimization opportunities.

Data-Driven Decision Making

• Analyze large datasets to identify fraud patterns, operational trends, and business opportunities.
• Develop reports, dashboards, and performance indicators to support strategic and operational decision-making.
• Transform complex analytical findings into actionable recommendations for business and technical stakeholders.
• Define and continuously improve service reporting, ensuring accurate and timely performance monitoring.
• Act as the primary owner of the assigned service, maintaining a complete understanding of its operational history, performance, and customer needs.
• Support customer governance meetings by preparing service insights, performance reports, and strategic recommendations.
• Collaborate closely with customers to understand business challenges and identify opportunities for service improvements.
• Ensure high levels of customer satisfaction by managing service feedback, responding to customer inquiries, and implementing preventive actions to reduce future issues.
• Work closely with Product, Data, Operations, and Business teams to ensure alignment between customer needs and service evolution.
• Translate business requirements into clear functional and technical requirements that enable the successful implementation of new features and service improvements.
• Contribute to the development of new fraud monitoring capabilities and the continuous enhancement of existing services.
• Maintain comprehensive service documentation, including operational procedures, service specifications, KPIs, and improvement initiatives.
• Ensure documentation remains accurate and aligned with service evolution and operational best practices.

Required Experience

Experience in Service Management, Product Management, Business Analysis, or similar roles.

Strong analytical skills with experience manipulating and interpreting data to support business decisions.

Experience working with business stakeholders and cross-functional teams.

Ability to manage services or products throughout their lifecycle while balancing customer needs and business priorities.

Data & Analytics

• Advanced Microsoft Excel
• SQL
• Power BI
• Python
• Data Analysis
• KPI Definition & Monitoring

Business & Product

• Service Management
• Product Management
• Business Analysis
• Requirements Gathering
• Process Improvement
• Customer Success

Nice to Have

Experience in fraud prevention, fraud monitoring, financial services, fintech, payments, or risk management.

Knowledge of data visualization best practices.

Experience working in Agile environments.

Experience with predictive analytics or machine learning applied to fraud detection.