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Data Analyst

  • Limassol, Cyprus
  • Specialism : Data Analyst
  • Post Date: June 6, 2025
  • Expires In : 56 Days
  • Apply Before: September 6, 2025
  • Applications 0
  • Views 618
Job Overview

Join our fast-paced fintech team as a Data Analyst where you’ll dive deep into complex financial datasets, uncover actionable insights, and directly influence product decisions that impact millions of users. This role requires a sharp analytical mind with hands-on experience in financial data, risk modeling, and transaction behavior analysis. You will work closely with product managers, data engineers, and risk teams to develop data-driven strategies that optimize user experience, enhance fraud detection, and drive business growth.

Key Responsibilities:

  • Extract, clean, and analyze large volumes of transactional and customer behavior data from multiple sources including payment systems, trading platforms, and credit bureaus.

  • Build and maintain dashboards and reports that provide real-time insights into key performance indicators such as user acquisition cost, lifetime value, default rates, and fraud trends.

  • Develop predictive models to identify high-risk transactions and customer segments, collaborating with the risk and compliance teams to minimize financial losses.

  • Translate complex data sets into concise, actionable recommendations tailored to product, marketing, and executive teams.

  • Conduct A/B testing analysis to evaluate the impact of new features and marketing campaigns on user retention and revenue metrics.

  • Stay updated on fintech industry trends, regulatory changes, and emerging data tools that can improve analytical capabilities.

Qualifications:

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field.

  • 3+ years of experience analyzing financial or fintech data, ideally within payments, lending, or wealth management sectors.

  • Strong SQL skills for querying and manipulating large datasets; experience with Python or R for statistical analysis and machine learning.

  • Familiarity with data visualization tools such as Tableau, Power BI, or Looker to create insightful dashboards.

  • Understanding of financial products, credit scoring, fraud detection, and regulatory requirements (e.g., PCI DSS, AML).

  • Proven ability to design, implement, and validate predictive models and segmentation strategies.

  • Excellent communication skills with the ability to translate technical findings into clear business language.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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Data Analyst

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Employer
Mandres Investments (UK) Ltd
About Us We provide results driven offerings & business solutions for our clients to support them in enhancing their patient outcomes & client experiences at every point of their journey. Email: info@mandres.eu Website: www.mandres.eu
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