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Finance data analyst within revenue services | porto (m/f)

Porto
Adecco Recruitment
Anunciada dia 30 junho
Descrição

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.


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