Description

Company Overview

The organization operates in the financial technology industry, supporting digital financial services through data-driven platforms, automated financial processes, and technology-enabled reporting solutions.

Its operations depend on the accurate collection, processing, validation, and interpretation of financial information. Reliable data is essential for transaction monitoring, financial reporting, operational decision-making, and the continued improvement of digital financial products.

The organization is seeking a detail-oriented analyst who can strengthen its financial data quality processes and support the production of accurate, consistent, and meaningful financial reports.

Role Summary

The Financial Data Quality & Reporting Analyst will be responsible for validating financial datasets, investigating data inconsistencies, maintaining reporting standards, and supporting the delivery of reliable financial information across the organization.

The role combines financial data analysis, reporting automation, data quality monitoring, and collaboration with finance and technology teams.

The successful candidate will work with transaction records, financial reports, operational datasets, and data management systems to identify discrepancies and improve the quality of financial information used across business functions.

This position is suitable for a professional with strong analytical capabilities, an understanding of financial data structures, and experience working with reporting tools and data validation processes.

Key Responsibilities

  • Review and validate financial datasets to ensure accuracy, completeness, consistency, and reliability.

  • Analyze transaction records, settlement data, payment information, and financial reporting datasets to identify discrepancies.

  • Develop and maintain data quality checks designed to detect missing records, duplicate transactions, inconsistent values, and reporting anomalies.

  • Prepare recurring financial and operational reports for internal stakeholders.

  • Support the reconciliation of financial datasets across internal systems, external service providers, and reporting platforms.

  • Investigate data-related issues and collaborate with technical teams to identify underlying causes and implement corrective solutions.

  • Develop and maintain dashboards and reporting tools that improve visibility into financial performance and operational trends.

  • Automate repetitive reporting and validation tasks using appropriate analytical tools and programming techniques.

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

  • Work with finance, operations, product, and engineering teams to understand reporting requirements and improve data availability.

  • Support the development of standardized financial reporting processes and data governance practices.

  • Monitor data quality indicators and communicate significant issues to relevant stakeholders.

  • Contribute to continuous improvement initiatives aimed at increasing reporting efficiency and reducing manual data processing.

Requirements and Qualifications

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

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

  • Strong knowledge of financial data structures, transaction records, reconciliation processes, and reporting requirements.

  • Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, and data validation techniques.

  • Practical experience with SQL for querying, analyzing, and validating structured datasets.

  • Familiarity with Power BI, Tableau, or similar business intelligence and reporting platforms.

  • Understanding of data quality principles, data governance, and financial reporting controls.

  • Experience identifying data inconsistencies and developing structured approaches to resolving reporting discrepancies.

  • Familiarity with Python or other analytical programming tools is an advantage.

  • Strong analytical thinking, attention to detail, and the ability to interpret complex financial information.

  • Ability to communicate analytical findings clearly to technical and non-technical stakeholders.

  • Professional proficiency in English. Estonian language skills are beneficial.

Benefits

  • Remote working arrangement within Estonia.

  • Competitive compensation based on experience and analytical expertise.

  • Opportunity to work with financial data, reporting systems, and digital finance platforms.

  • Professional development opportunities in financial analytics, business intelligence, and data governance.

  • Collaborative working environment with finance, product, operations, and technology teams.

  • Exposure to modern reporting tools and data-driven financial processes.

  • Opportunity to improve the accuracy and efficiency of financial reporting across a fintech environment.

Application Instructions

Candidates should submit an updated CV highlighting relevant experience in financial reporting, data analysis, reconciliation, or data quality management.

Applications should demonstrate proficiency in Excel, SQL, reporting tools, and financial data validation processes.

Candidates are encouraged to describe previous reporting or data quality projects, including how they identified discrepancies, improved reporting accuracy, or automated manual processes.

 

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