Company Overview

The organisation operates within the financial technology industry, developing digital financial products and technology-driven services supported by reliable financial information and data infrastructure.

Its operations depend on accurate financial records, structured data processing, and dependable reporting systems. The organisation recognises the importance of data quality in supporting payment processing, financial analysis, customer account management, and regulatory reporting.

Its teams combine financial expertise, data analytics, and software engineering to improve the quality and accessibility of financial information across digital platforms.

Role Summary

The Financial Data Quality Analyst will be responsible for monitoring, validating, and improving the accuracy of financial data across internal systems and integrated third-party platforms.

The position involves identifying data inconsistencies, investigating missing or duplicated records, reviewing data processing workflows, and supporting the implementation of effective data quality controls.

Working remotely within Estonia, the analyst will collaborate with finance, data engineering, product, and compliance teams to ensure that financial information remains accurate, consistent, and suitable for operational and reporting purposes.

The successful candidate will possess strong analytical capabilities, an understanding of financial data structures, and practical experience with data validation techniques.

Key Responsibilities

• Monitor the quality and consistency of financial data across digital banking and fintech systems.

• Conduct regular data validation checks to identify missing, duplicated, inaccurate, or inconsistent records.

• Investigate discrepancies involving transaction information, customer records, financial balances, and reporting datasets.

• Develop and maintain data quality rules and validation procedures.

• Use SQL queries to extract, compare, and validate financial information.

• Collaborate with data engineers to investigate data pipeline issues and processing inconsistencies.

• Support the reconciliation of financial datasets across multiple internal and external systems.

• Prepare data quality reports highlighting recurring issues and improvement opportunities.

• Assist with data cleansing, standardisation, and transformation activities.

• Monitor data integrity during system upgrades, migrations, and new financial integrations.

• Maintain documentation covering data definitions, validation procedures, and quality standards.

• Work with stakeholders to improve data governance and reporting reliability.

• Recommend process improvements to reduce manual data errors and strengthen information accuracy.

Requirements and Qualifications

• Bachelor’s degree or equivalent professional experience in Data Analytics, Statistics, Finance, Computer Science, Accounting, or a related discipline.

• At least three years of experience in data quality, financial data analysis, business intelligence, or data management.

• Strong SQL skills and experience working with structured databases.

• Advanced Excel skills and familiarity with data validation techniques.

• Understanding of financial transaction data, payment records, and digital banking information.

• Experience with data visualisation tools such as Power BI or Tableau is an advantage.

• Familiarity with ETL processes, data pipelines, and data integration concepts.

• Strong numerical reasoning and analytical problem-solving abilities.

• Excellent attention to detail and documentation skills.

• Ability to communicate data-related findings to technical and non-technical stakeholders.

• Ability to manage multiple assignments within a remote working environment.

Benefits

• Fully remote working arrangement within Estonia.

• Opportunity to improve financial data infrastructure and reporting accuracy.

• Exposure to modern fintech systems, databases, and analytics technologies.

• Collaboration with finance, data engineering, and product development teams.

• Opportunities for technical development and professional advancement.

• A working environment that encourages accuracy, innovation, and continuous improvement.

Application Instructions

Applicants should submit an updated CV highlighting experience in data quality management, financial analytics, or database administration. Candidates should demonstrate proficiency in SQL, Excel, and financial data validation. Examples of previous data quality projects, reconciliation improvements, or reporting automation initiatives are welcome.

Are you interested in this position?

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