Descrição da Função

Adecco Recruitment is recruiting a Finance Data Analyst within Revenue Services for a reputable SSC based in Porto.

What you will be doing

We are seeking a highly motivated and detail-oriented Analyst to join our team. In this role, you will play a key part in analysing data, identifying trends, and providing actionable insights to drive strategic decisions. You will collaborate with internal departmental stream leads as well as cross-functional teams and contribute to reduction of bad debt, increasing customer experience and operational efficiencies.

Objectives to this role

• Data Analysis & Insights
  • Deliver actionable insights by analyzing complex datasets within the first 90 days.
  • Develop detailed reports and dashboards that effectively communicate key trends and recommendations.
• Efficiency Improvements
  • Identify at least three opportunities for operational or strategic improvements based on data-driven analysis within the first six months.
• Stakeholder Collaboration
  • Establish strong working relationships with internal and external stakeholders to ensure data solutions align with business objectives.
  • Effectively gather and address feedback to refine analysis processes.
• Performance Monitoring
  • Create and implement systems to track and evaluate key performance indicators (KPIs) within the first three months.
  • Provide regular updates on performance metrics and ensure insights are delivered in a timely manner.
• Tool Proficiency
  • Master the organizations preferred data tools (e.g., Power BI, SQL, Python) and integrate them into workflows within the first 60 days.
• Strategic Contribution
  • Contribute to strategic decision-making processes by presenting data-backed recommendations in team meetings or management reviews.
  • Participate in at least one high-impact project that directly influences organizational goals within the first year.
• Continuous Improvement
  • Stay updated on industry trends and introduce at least two new techniques or tools that improve the quality or efficiency of data analysis.

 

Responsibilities

• Gather, analyze, and interpret complex data from multiple sources.
• Develop dashboards, reports, and visualizations to communicate findings.
• Identify patterns, trends, and insights to inform decision-making processes.
• Collaborate with stakeholders to understand requirements and deliver solutions.
• Monitor key performance indicators (KPIs) and suggest areas for improvement.
• Stay updated on industry trends and best practices in data analysis.

What do you bring with you

• Proficiency in Power BI, with expertise in creating interactive dashboards, managing data models, and optimizing performance.
• Creating and managing data visualizations and dashboards tailored to business needs.
• Designing and maintaining robust data models, including relationships, hierarchies, and calculated tables.
• Writing and optimizing DAX (Data Analysis Expressions) formulas for advanced calculations and custom measures.
• Developing ETL processes using Power Query to clean, transform, and load data from diverse sources.
• Managing large datasets with a focus on performance optimization, including incremental refresh, indexing, and query reduction techniques.
• Implementing row-level security (RLS) to manage data access for different user roles.
• Integrating Power BI with other tools such as SQL databases, Excel, and cloud platforms (e.g., Azure, SharePoint) for seamless data connectivity.
• Publishing and scheduling reports on Power BI Service and maintaining shared workspaces.
• Staying up to date with new Power BI features, including Paginated Reports, AI visuals, and Power BI Apps.
• Strong analytical and problem-solving skills, with the ability to distil complex datasets into actionable insights while maintaining a keen eye for detail.
• Exceptional communication skills, both written and verbal, to effectively engage with technical and non-technical stakeholders.
• A collaborative mindset, fostering strong teamwork across diverse, cross-functional, and cross-cultural environments.
• Demonstrated ability to adapt and thrive in fast-paced, dynamic settings, with a proactive approach to tackling challenges.
• A natural curiosity for innovation, staying ahead of trends, and a passion for leveraging technology to enhance decision-making.
• Experience with or openness to working in cross-cultural settings, understanding diverse perspectives, and valuing inclusivity in the workplace.