Data Analyst

Requirement description:

Our client a Global Payments Consulting Firm is currently carrying out a project for a leading bank in Greece. To support with this, our client is looking to onboard a Data Analyst to support the successful execution of cross-functional initiatives across the consulting firm's client base.

As part of the consulting firm's local APM team the selected consultant will work with cross-functional teams to support clients in exploring, analyzing and visualizing data to generate and present valuable insights.

This includes hands-on expertise in SQL, Excel, data visualization tools, and statistical software such as SPSS/Modeler.

The selected consultant will be responsible for analyzing and interpreting large datasets, building clear and actionable reports, and collaborating closely with internal and client teams to support data-driven decision-making.

Roles & Responsibilities:

• Contribute towards the delivery of engaging and value-added data analysis, visualization, and reporting.
• Collaborate with cross-functional teams to understand data needs and provide analytical support aligned with business goals.
• Develop clear and interactive data visualizations and dashboards to communicate trends and insights effectively.
• Translate complex datasets into clear and concise findings, delivering presentations using PowerPoint and other business tools.
• Use Microsoft Excel to manipulate and analyze data sets for both ad hoc and recurring reporting needs.
• Apply statistical methods using tools such as SPSS Statistics/Modeler to conduct deeper analytical assessments and support decision-making.
• Work closely with client-side business analysis, development, and project management teams, as well as the consulting firm's internal teams, to ensure effective coordination and alignment across all stakeholders.
• Apply critical thinking to identify patterns, detect anomalies, and challenge assumptions in data interpretation.
• Monitor performance metrics to generate proactive insights and improvement opportunities
• Support segmentation, forecasting, and testing activities through predictive analytics and data modeling.
• Ensure accuracy, completeness, and consistency of data sources for reliable analysis.

Knowledge & Experience Required:

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related field.
• Minimum 3 years of hands-on experience in a data analysis role or business intelligence role.
• Solid understanding of relational databases, data structures, and SQL-based data manipulation.
• Proven experience in applying statistical techniques in a commercial or business environment.
• Familiarity with predictive modeling, clustering, and advanced analytics methods.
• Experience working with large and diverse datasets from multiple sources.
• Prior experience with SPSS, Modeler, and visualization/dashboard tools is considered an advantage.
• Skilled communicator who can simplify complex topics for a range of audiences.
• Comfortable working in a fast-paced and constantly evolving environment.
• Strong analytical and problem-solving skills with attention to detail.

Mandatory Skills:

• Fluency in Greek and English is required.
• Proven analytics skills, including evaluation, visualization and reporting of data.
• Strong SQL skills for querying and data transformation.
• Advanced proficiency in Microsoft Excel, PowerPoint, and other business tools.
• Technical writing experience in relevant areas such as queries, reports, and presentations.