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Data Quality Manager

Data Quality Manager is required to join an established firm in financial services with their main office being based in Malta


Main Responsibilities:

  • You will be engaging with stakeholders on data quality issues from identification through to short-term fixes and long-term solutions

  • Prioritising between impacting and/or regulatory issues and side-issues

  • Identifying internal customer needs and requirements to develop effective data control processes

  • Document control/reconciliation rules, data needs and data specifications

  • Producing clear views on data quality issues and actionable recommendations

  • Setting up and operating Data Quality metrics, including measurement of timeliness and accuracy

  • Collaborating with Data Engineering to improve automated data integrity and quality controls

  • Working closely with Business Intelligence to transparently expose Data Quality indicators across the Group

  • Participating in business initiatives to ensure data quality is enshrined in new products/services

  • Recognising opportunities for improvement and developing new and more efficient quality processes

  • Conducting Data Profiling and Analysis to proactively identify and intervene on quality issues

  • Ensuring that the Groups' aggregation and reporting processes conform to regulatory requirements

  • Establishing and organising a Data Steward network within the organisation

  • Motivating and steering stakeholders towards high-quality data

  • Working on own initiative to independently manage multiple deliverables in an international context

Skills & Experience required:

  • Bachelor's degree in computing/finance/economics or equivalent

  • Minimum of 2 years of experience in data quality and/or analysis

  • Experience with Data Quality platforms - preferably Talend

  • Advanced knowledge of RDMS (PostgreSQL, Oracle or equivalent) and SQL scripting

  • Demonstrated use of Data Modelling tools such as Erwin, ER Studio, Toad or SQL Power Architect

  • Exposure to cloud data platforms (S3, Redshift, Athena, Snowflake) will be considered an asset

  • Able to communicate clearly, and fluent in both written and spoken English

  • Comfortable with the structuring and analysis of large datasets

  • Thorough documentation skills - preferably using the Atlassian stack (JIRA, Confluence)

  • Proficiency in data analysis tools - preferably Qlik or MicroStrategy - will be considered an advantage