Data Quality Analyst

Quick Facts

• Role: Data Quality Analyst

Description

Analyze data quality against defined requirements and quality standards, identify data quality errors, and assess their volume and frequency. Investigate why data quality worsens or improves, find sources of inaccuracies, and coordinate corrective actions with relevant teams and data owners. Extract and analyze data using SQL and Microsoft Excel, document requirements and findings, and support ongoing monitoring with reports and summaries using Jira.

Responsibilities

• Analyze data quality versus requirements and defined quality standards

• Identify data quality issues and determine their scale and occurrence frequency

• Analyze data quality changes and identify causes of deterioration or improvement

• Find sources of inaccuracies and root causes of data errors

• Independently acquire and analyze data using SQL and Microsoft Excel

• Collect, analyze, and document requirements from business stakeholders

• Report data quality issues to appropriate teams for correction

• Propose new approaches to eliminate inaccuracies and improve data quality

• Align correction paths with data owners and teams responsible for fixes

• Coordinate with stakeholders to set priorities for corrective actions

• Prepare analyses and reports supporting data quality assessment

• Document findings and monitor improvement-related activities

• Use Jira to manage tickets and coordinate project activities

Requirements

• Senior-level experience in Data Quality

• Experience analyzing data quality issues and identifying their causes

• Ability to analyze rises/falls in data quality and identify inaccurate data sources

• Understanding of data quality importance and its business impact, especially in banking

• SQL (or equivalent) to independently retrieve data for analysis

• Strong Microsoft Excel for building analyses and reports

• Experience collecting and documenting requirements with stakeholders

• Experience preparing business or system analyses

• Jira knowledge

• Ability to collaborate with data owners, technical teams, and business representatives

• Strong communication, teamwork, and goal orientation

• Independence, inquisitiveness, and analytical problem-solving

Benefits

• Opportunity to work across diverse projects (Software, Embedded, Data, Cloud Services)

• Involvement in additional pre-seal and expert initiatives

• Access to medical care, sports card, and a cafeteria platform per collaboration rules