Position Summary

We are seeking a detail-oriented Fintech Data Quality Analyst to help maintain the accuracy, consistency, and reliability of financial and operational data across digital financial services. The role supports the integrity of transaction records, customer information, financial reports, and operational datasets used for business decisions and service delivery.

Working with data, technology, finance, and operations teams, the successful candidate will identify data discrepancies, investigate root causes, improve validation procedures, and contribute to stronger data governance practices.

Key Responsibilities

• Review financial and operational datasets to identify missing values, duplicate records, inconsistencies, and inaccurate information.

• Perform data-quality checks on transaction records, customer profiles, payment reports, and system-generated datasets.

• Use SQL queries and spreadsheet tools to investigate discrepancies and validate data across different systems.

• Reconcile selected data records between source systems, reporting platforms, and operational databases.

• Document data-quality issues, investigate recurring errors, and coordinate corrective actions with relevant teams.

• Develop and maintain data-validation rules, quality-control checklists, and monitoring reports.

• Support the preparation of accurate operational dashboards and management reports.

• Collaborate with data engineers, software developers, finance teams, and operations specialists to resolve underlying data issues.

• Maintain clear documentation of data definitions, validation procedures, and quality-assurance findings.

• Assist with data migration, system updates, and testing activities when changes may affect data accuracy.

• Follow internal data-handling policies and applicable privacy and information-security requirements.

Candidate Requirements

• Degree in Data Analytics, Statistics, Information Systems, Finance, Computer Science, or a related field.

• Experience in data analysis, data validation, quality assurance, reporting, or financial operations.

• Working knowledge of SQL and strong spreadsheet skills, including filtering, lookups, pivot tables, and data validation.

• Ability to investigate discrepancies and explain findings using evidence and structured analysis.

• Familiarity with Power BI, Tableau, or similar reporting tools is an advantage.

• Understanding of relational databases, data structures, and basic data-governance principles.

• Knowledge of payment transactions, financial reporting, or digital banking data is beneficial.

• Strong attention to detail, documentation skills, and the ability to manage competing priorities.

• Professional working proficiency in English; Estonian language skills are an advantage.

Technical Environment

The role may involve SQL-based databases, financial reporting systems, Excel, business intelligence tools, data-quality monitoring procedures, and cloud-based data platforms.

Why This Opportunity?

Reliable data is essential to effective financial operations, accurate reporting, and trustworthy digital services. In this position, you will help strengthen the information quality behind fintech products while developing practical expertise in data governance, analytics, and financial technology operations.

Ideal candidate: A methodical analyst who enjoys investigating discrepancies, improving data processes, and ensuring that business decisions are supported by accurate and dependable information.