
Data Analyst
PayTech Nexus · Athens, Greece
- Professional Services
- 51–200 employees
- London
Mixed hiring record · median 51 days open
All reasons
- Open 62 days
- 25% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
Job Title
Data Analyst
Term
8 months- renewable
Location
Athens, Greece
Division
APM
Relevant experience
3-5 years
Mandatory requirements
- Fluency and advanced business writing skills in Greek and English is required.
- Experience in data analysis and data visualization.
- Work from client premises
PURPOSE OF JOB
We are looking for a Data Analyst to support the successful execution of cross-functional initiatives across our client base. As part of our local APM team you will work with cross-functional teams to support clients in exploring, analyzing and visualizing data to generate and present valuable insights.
Ideal candidates for this role have solid experience in data analytics and a strong understanding of data exploration, statistical methods, and reporting best practices. This includes hands-on expertise in SQL, Excel, data visualization tools, and statistical software such as SPSS/Modeler. You 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.
Strong critical thinking, analytical skills, and the ability to translate complex findings into business insights are key to success in this position.
TASKS
Core Responsibilities and Accountabilities
- 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 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 and Experience
- 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.
Skills
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