Senior Data Analyst

We are looking on behalf of our client for a Senior Data Analyst.

Duties include, but are not limited to:

• Developing, implementing, and maintaining data quality rules, standards, and validation frameworks for multiple data sources.
• Monitoring and tracking data quality metrics, reporting discrepancies, and implementing corrective actions.
• Ensure timely identification and resolution of data inconsistencies or anomalies.
• Collaborate with the Reconciliations team to ensure accurate matching of transactions and records across systems.
• Automate and optimize reconciliation processes using SQL, Python, or other analytical tools.
• Maintain documentation of reconciliation workflows and data lineage for audit and compliance purposes.
• Perform root cause analysis of data discrepancies and recommend solutions.
• Generate periodic reports on data quality trends, exceptions, and process efficiency.
• Provide actionable insights to support decision-making for business and operational teams.
• Support the integration of new data sources into the corporate reconciliation framework.
• Assist in training junior analysts and promoting data quality best practices across the department.

Requirements:

• Bachelor’s degree in a numerical, financial, or technical field, such as Data Science, Engineering, Mathematics, Computer Science or related field.
• Proficiency in data manipulation (e.g. SQL, Python), data transformation, programming and scripting and technical knowledge of automation tools.
• Experience with data quality tools and working with multiple heterogeneous data sources.
• Proven track record of moving workflows from manual processes to streamlined, data-driven workflows that save time and enable businesses to scale.
• Previous experience in e-money/payments, banking or corporate treasury is an advantage.