A data-focused position dedicated to maintaining the accuracy, consistency, and reliability of information used across fintech products and financial operations. The successful candidate will work with transaction, customer, product, and operational data while helping establish stronger data-quality practices.

Core Responsibilities

• Monitor the quality and integrity of financial and operational datasets.
• Identify duplicate, incomplete, inconsistent, or inaccurate records and coordinate appropriate corrections.
• Perform data validation and reconciliation across fintech platforms and internal systems.
• Develop recurring data-quality checks and monitoring procedures.
• Work with engineering, product, finance, compliance, and operations teams to resolve data issues.
• Analyse transaction and customer datasets to identify unusual patterns or inconsistencies.
• Support the creation of data-quality reports, dashboards, and operational metrics.
• Maintain documentation covering data definitions, validation rules, processes, and known issues.
• Participate in system migrations and new-platform implementations by supporting data validation.
• Help establish practical standards for data accuracy, completeness, consistency, and accessibility.
• Investigate the underlying causes of recurring data problems rather than only correcting individual records.
• Contribute to automation initiatives that reduce manual data-quality checks.

Qualifications & Skills

• Degree or equivalent experience in Data Analytics, Information Systems, Computer Science, Finance, Statistics, or a related field.
• Experience working with structured business or financial data.
• Strong SQL and data-analysis capabilities.
• Understanding of relational databases and data-quality principles.
• Familiarity with Python, data visualisation, or business-intelligence tools is beneficial.
• Experience in fintech, banking, payments, or financial technology is an advantage.
• Strong attention to detail and analytical reasoning.
• Ability to investigate problems systematically and document findings clearly.
• Strong communication skills and the ability to work across multidisciplinary teams.
• Professional proficiency in English.

The Opportunity

This position is ideal for a data professional interested in the intersection of financial services and technology. You will help ensure that reliable data supports fintech products, operational decisions, reporting, and customer-facing services while gaining practical experience within Estonia’s technology-driven financial sector.

Are you interested in this position?

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

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