Company Overview

The organization operates within the financial technology industry, delivering digital financial services and technology-driven solutions that support businesses, financial institutions, and customers across multiple markets. Its operations rely on accurate financial information, reliable transaction processing, and effective data management to maintain the integrity of its financial platforms.

The organization continues to invest in modern data infrastructure, analytical capabilities, and scalable financial technology systems. Its remote working environment brings together professionals from finance, engineering, analytics, and operational functions to improve the quality and reliability of financial information.

Role Summary

The Senior Financial Data Quality Analyst will be responsible for maintaining the accuracy, consistency, completeness, and reliability of financial data across digital financial platforms and internal reporting systems.

The role involves analyzing financial datasets, identifying data quality issues, developing validation procedures, and collaborating with engineering and finance teams to improve data integrity. The successful candidate will contribute to the reliability of financial reporting, transaction analysis, reconciliation processes, and business intelligence activities.

This position requires strong analytical capabilities, an understanding of financial data structures, and practical experience working with data validation tools. The ideal candidate will be capable of identifying complex data inconsistencies and translating analytical findings into actionable improvements.

Key Responsibilities

• Monitor the accuracy and completeness of financial datasets across transaction processing systems, reporting platforms, and internal databases.

• Develop and maintain data quality rules, validation procedures, and reconciliation checks for financial information.

• Analyze financial transaction records to identify inconsistencies, duplicate entries, missing values, and incorrect data classifications.

• Investigate data discrepancies and coordinate with relevant teams to establish root causes and implement corrective measures.

• Develop SQL queries to validate financial data, compare datasets, and identify anomalies across interconnected systems.

• Support the maintenance of financial data pipelines and reporting processes to ensure consistent data delivery.

• Collaborate with software engineers and data engineers to improve data structures, transformation logic, and validation mechanisms.

• Review data quality incidents and maintain documentation covering findings, corrective actions, and preventive measures.

• Support financial reporting activities by ensuring that source data is accurate, complete, and properly reconciled.

• Develop dashboards and analytical reports to monitor data quality indicators and operational performance.

• Participate in data governance initiatives involving financial data ownership, access controls, and documentation standards.

• Recommend improvements to data management processes and contribute to the automation of recurring validation activities.

• Support testing and validation activities following changes to financial systems, databases, or reporting infrastructure.

Requirements and Qualifications

• Bachelor’s degree in Finance, Accounting, Statistics, Mathematics, Computer Science, or a related discipline.

• At least three years of experience in financial data analysis, data quality management, financial reporting, or fintech analytics.

• Strong proficiency in SQL, including complex queries, joins, aggregations, and data validation techniques.

• Practical experience analyzing financial transaction datasets and identifying data inconsistencies.

• Strong understanding of financial reporting, reconciliation, and data integrity principles.

• Familiarity with Python or comparable analytical tools for data processing and validation.

• Experience working with relational databases, data warehouses, and business intelligence platforms.

• Knowledge of data governance, data lineage, and financial data management practices.

• Strong attention to detail and the ability to investigate complex data issues.

• Excellent analytical, organizational, and communication skills.

• Ability to work independently and collaborate effectively with distributed teams.

Benefits

• Fully remote working arrangement within Estonia.

• Competitive compensation based on experience and qualifications.

• Opportunity to contribute to the development of reliable financial data infrastructure.

• Professional development opportunities in fintech analytics and data engineering.

• Exposure to modern financial technology platforms and data management tools.

• Collaborative working environment involving finance, analytics, and engineering professionals.

• Access to digital collaboration tools and systems that support remote work.

Application Instructions

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

Applications should demonstrate relevant experience investigating data discrepancies, developing validation procedures, and improving financial data reliability. Candidates with experience supporting financial technology platforms or transaction processing systems are encouraged to apply.

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

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