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Salary
≈ $20k – $47k per year (Estimated)
Location
In office (Athens)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
Headquartered in London, United Kingdom, PayTech Nexus is a specialized recruitment and executive search firm dedicated exclusively to the payments, banking, and financial technology sectors. Operating as the talent acquisition arm of PayTech Group, the company leverages a proprietary matching platform to place pre-vetted interim contractors, agile project squads, and permanent leadership across disciplines such as card issuing, merchant acquiring, and core banking transformation. By combining deep payments domain expertise with AI-assisted, double-blind talent evaluation, it enables global financial institutions, card schemes, and fintech enterprises to rapidly deploy verified specialists for critical digital initiatives.

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.
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