Data Quality Analyst

What You Will Do

As a Data Quality Analyst, you will:

• Contribute to the selection, setup, and optimization of Data Quality (DQ) tools based on consolidated stakeholder requirements.
• Define requirements for DQ dashboards and perform unit testing of delivered solution components.
• Collaborate with Data Governance Analysts and business stakeholders to translate functional requirements into effective DQ implementations.
• Design, develop, and test data quality checks aligned with defined standards and best practices.
• Proactively monitor DQ results and execution logs, initiate corrective actions, and coordinate resolution with responsible stakeholders.
• Perform impact analysis, ensure proper lineage metadata availability, and maintain the DQ Catalogue.
• Conduct quality assurance reviews to ensure standards are consistently followed when implementing new DQ checks.
• Prepare and manage releases of DQ software components, ensuring accurate documentation.
• Provide L3 support when required and participate actively in agile ceremonies (estimation, design, development, UAT, production launch).
• Identify opportunities for automation and continuous improvement in DQ processes and tools.
• Deliver training and support to stakeholders to enhance understanding of DQ root causes, tools, and remediation actions.
• Stay up to date with emerging technologies and contribute to tool evaluation and adoption initiatives.

Who You Are

The ideal candidate will possess:

• 2–3 years of experience as a Data Quality Analyst within financial services or banking projects.
• Strong knowledge of banking processes and products.
• Hands-on experience with Data Quality tools and automation capabilities available in the market.
• Mid-level expertise in building queries across databases such as Oracle, SQL Server, DataBricks, or Snowflake.
• A solid understanding of DQ design, development principles, troubleshooting, and process governance.
• Analytical, detail-oriented, and capable of diagnosing complex functional requirements.
• The ability to take ownership of tasks, drive them to completion, and confidently mentor or guide internal consumers and analysts.
• A knack for thriving in Agile environments and collaborating effectively with cross-functional teams.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Nice to Have:

• Experience with reporting tools such as Power BI or Tableau.
• Exposure to Data Governance tools (Glossary, DQ, RDM).
• Experience with Ataccama DQ.

What You Can Expect

At SELISE Group, you can look forward to:

• A long-term engagement on a strategic banking transformation project.
• Opportunity to work remotely within the EU in a collaborative, multicultural environment.
• Exposure to enterprise-level data governance and quality frameworks.
• A dynamic Agile setup that encourages innovation, ownership, and continuous learning.
• The chance to contribute to high-impact financial data initiatives that drive measurable business value.
• A culture at SELISE Group that promotes professional growth, knowledge sharing, and technical excellence.

Key skills/competency

• Data Quality Management
• Data Governance
• SQL Querying
• Financial Services Industry
• Banking Processes
• Agile Methodologies
• Data Analysis
• Automation
• Troubleshooting
• Stakeholder Collaboration