Your next challenge:
· Contribute to the design, development, and maintenance of data quality dashboards (Power BI, Python, SQL).
· Implement and automate data quality controls (completeness, consistency, timeliness, accuracy…).
· Support the rollout and adoption of the bank’s Data Quality Framework, including methodology, processes, documentation, and best practices.
· Collaborate with Data Owners, Stewards, IT teams, and business lines to identify, assess, and monitor data quality issues.
· Analyze data quality results, identify root causes, and help prepare remediation recommendations.
· Participate in defining and formalizing data quality KPIs, business rules, and thresholds.
· Assist in producing operational and management reporting for Data Governance committees.
· Explore opportunities to enhance automation and industrialization using Python and SQL.