Position Overview

We are seeking a Fintech Data Quality Analyst to maintain the accuracy, consistency, and reliability of data used across financial technology platforms. The successful candidate will examine financial and operational datasets, identify data quality issues, investigate inconsistencies, and work with technical and business teams to improve data integrity.

Reliable data is essential for payment reconciliation, financial reporting, risk assessment, customer account management, and regulatory processes. This position will help ensure that information moving between fintech systems remains complete, traceable, and fit for operational and analytical use.

Key Responsibilities

• Assess the completeness, accuracy, consistency, and validity of financial and operational datasets.

• Run data quality checks to identify duplicate records, missing fields, inconsistent identifiers, and abnormal values.

• Investigate data discrepancies across payment systems, customer databases, transaction records, and reporting platforms.

• Use SQL, spreadsheets, and analytical tools to validate records and identify recurring data issues.

• Collaborate with data engineers, software developers, finance teams, and business analysts to resolve root causes.

• Maintain data quality rules, validation procedures, issue logs, and documentation of corrective actions.

• Support data migration, system integration, and reporting projects by validating source and destination records.

• Prepare dashboards and reports tracking data quality indicators, exception volumes, and resolution progress.

• Recommend improvements to data entry controls, automated validation, and information management processes.

• Follow established data governance, confidentiality, and privacy requirements when handling financial information.

Candidate Requirements

• A degree or equivalent practical experience in Data Analytics, Information Systems, Computer Science, Finance, or a related field.

• Experience in data validation, quality assurance, reporting, database administration, or business operations.

• Working knowledge of SQL for querying, filtering, comparing, and validating datasets.

• Strong Excel skills, including lookup functions, pivot tables, and data cleaning techniques.

• Familiarity with relational databases, data integration, and business intelligence platforms.

• Ability to investigate discrepancies systematically and document findings clearly.

• Understanding of financial transactions, payment records, or customer data is an advantage.

• Awareness of GDPR, data governance, and appropriate handling of sensitive information.

• Strong analytical thinking, accuracy, and attention to detail.

Technical Environment

SQL databases, spreadsheet-based validation, data quality monitoring tools, reporting dashboards, ETL workflows, and financial application databases.

Why This Opportunity?

You will help establish the data reliability that fintech products depend on for accurate transactions, reporting, and decision-making. The position offers a pathway into data engineering, business intelligence, analytics, or financial technology operations.

Are you interested in this position?

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

#JobsHubEstonia #GlobalRecrument
#CareerOpportunities #HiringNow
#JobSeekersNetwork #EstoniaJobs
#RecruitmentServices #EmploymentPortal.