Company Overview

The organisation operates in the financial technology industry, where accurate, consistent, and timely data is essential to daily operations and business reporting. Its teams work with digital financial systems and operational datasets, requiring dependable reporting processes, effective validation controls, and clear documentation.

Role Summary

The Data Quality & Reporting Analyst will support the reliability of business and operational data across financial technology systems. The role combines data validation, discrepancy investigation, reporting automation, and the maintenance of consistent analytical outputs.

Working closely with operations, finance, compliance, and technology teams, the analyst will help identify data issues, improve reporting standards, and ensure that business users can rely on the information used for operational monitoring and decision-making.

Key Responsibilities

• Validate datasets from internal systems and identify missing, duplicated, inconsistent, or inaccurate records.

• Develop SQL queries to investigate discrepancies and reconcile data across multiple sources.

• Prepare routine operational reports and maintain dashboards used to monitor business performance.

• Investigate reporting anomalies and coordinate with relevant teams to establish root causes.

• Maintain data dictionaries, reporting definitions, validation rules, and process documentation.

• Automate repetitive data preparation and reporting tasks using SQL, Python, or appropriate business intelligence tools.

• Monitor data quality indicators and recommend improvements to existing controls.

• Support reporting requests from operations, finance, compliance, and other business functions.

• Participate in user acceptance testing when reporting systems or data pipelines are updated.

• Ensure that data handling and reporting practices follow applicable internal policies and data protection requirements.

Requirements and Qualifications

• Bachelor’s degree in Information Systems, Statistics, Mathematics, Business Analytics, Finance, or a related field.

• Experience in data analysis, data quality assurance, reporting, or operational analytics.

• Good working knowledge of SQL, including joins, aggregations, filtering, and discrepancy analysis.

• Familiarity with Excel and at least one reporting or visualisation platform, such as Power BI or Tableau.

• Basic Python knowledge for data processing and automation is an advantage.

• Strong attention to detail and a systematic approach to investigating data inconsistencies.

• Ability to document findings and communicate technical issues clearly.

• Understanding of data governance, access controls, and confidential information handling.

• Ability to manage competing reporting priorities while working remotely.

Benefits

• Fully remote work arrangement within Estonia.

• Opportunity to strengthen expertise in data governance, reporting automation, and data operations.

• Collaboration with finance, compliance, operations, and technology professionals.

• Professional development through practical analytical projects.

• A structured environment focused on data reliability and continuous process improvement.

Application Instructions

Applicants should provide a current CV detailing relevant data analysis, reporting, and data validation experience. Candidates are encouraged to highlight their SQL proficiency, dashboarding experience, and examples of reporting processes they have improved.

Are you interested in this position?

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