Company Overview

The organization operates within the financial technology sector, providing digital financial services and data-driven solutions that support modern banking, payment processing, and financial management.

Its operations rely on accurate, consistent, and reliable financial information to support transaction processing, reporting, business intelligence, and operational decision-making. The company works across finance, engineering, product, and analytics teams to maintain the integrity of its financial data infrastructure.

The organization promotes a culture of analytical thinking, operational excellence, and continuous improvement, with a strong emphasis on data accuracy and responsible financial information management.

Role Summary

The Financial Data Quality Analyst will be responsible for assessing, validating, and maintaining the quality of financial data across internal systems, reporting platforms, and transaction-processing environments.

This position focuses on identifying data inconsistencies, investigating reporting discrepancies, and establishing reliable data validation procedures. The successful candidate will work closely with finance, data engineering, and business intelligence teams to ensure that financial information remains accurate, complete, and suitable for operational and strategic use.

The role requires a combination of financial knowledge, analytical capability, and technical proficiency. It is particularly suitable for professionals who understand financial data structures and enjoy investigating complex data quality issues.

Working remotely from Estonia, the analyst will contribute to improving the reliability of financial reporting and supporting the development of scalable fintech data processes.

Key Responsibilities

• Monitor the quality, completeness, consistency, and accuracy of financial datasets across internal platforms.

• Perform regular validation checks on transaction records, customer financial information, account balances, and reporting datasets.

• Identify inconsistencies between source systems, financial databases, and analytical reporting environments.

• Investigate data quality issues and determine whether discrepancies originate from data ingestion, transformation, calculation, or reporting processes.

• Develop and maintain data validation rules, quality checks, and exception monitoring procedures.

• Use SQL and spreadsheet-based analysis to investigate financial data anomalies and reconcile reporting differences.

• Collaborate with data engineers and software developers to resolve data pipeline and transformation issues.

• Support the maintenance of financial data dictionaries, metadata documentation, and data lineage records.

• Prepare regular data quality reports highlighting recurring issues, operational risks, and improvement opportunities.

• Assist finance and business intelligence teams in validating financial dashboards and management reports.

• Participate in testing new financial data integrations and system updates.

• Recommend improvements to data governance procedures and financial information management practices.

Requirements and Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, Statistics, Information Systems, or a related discipline.

• Previous experience in financial data analysis, data quality assurance, business intelligence, or fintech operations.

• Strong understanding of financial data structures, transaction records, and reporting processes.

• Proficiency in SQL for data extraction, validation, and analytical investigation.

• Advanced Excel or Google Sheets skills, including data comparison, lookup functions, and pivot tables.

• Experience working with financial databases, reporting platforms, or data analytics tools.

• Ability to identify patterns, investigate anomalies, and communicate findings clearly.

• Understanding of data governance, data validation, and information quality principles.

• Familiarity with Python, Power BI, Tableau, or automated data quality tools is an advantage.

• Strong attention to detail and the ability to manage multiple analytical assignments.

• Professional working proficiency in English.

Benefits

• Fully remote working arrangement within Estonia.

• Opportunity to develop expertise in financial data management and fintech analytics.

• Exposure to modern financial data infrastructure and analytical technologies.

• Collaborative environment involving finance, engineering, and business intelligence professionals.

• Access to professional development opportunities and relevant technical training.

• Flexible remote working practices supported by clear objectives.

• Opportunities to contribute to data governance and financial reporting improvements.

Application Instructions

Interested candidates should submit an updated CV highlighting their experience in financial data analysis, data validation, SQL, and financial reporting.

Applicants are encouraged to demonstrate their ability to investigate data inconsistencies, improve data quality, and collaborate with technical and finance teams.

The recruitment process will assess analytical capabilities, technical proficiency, attention to detail, and the candidate’s ability to support accurate financial data management in a remote fintech environment.

Are you interested in this position?

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

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