About the role We are seeking a motivated and detail-oriented Data Quality & Business Data Analyst Intern to join our team and support data improvement initiatives. During this internship, you will gain hands-on experience working with business data, data quality processes, and enterprise systems. You will support activities related to data cleansing, validation, analysis, and enrichment, helping to improve the quality and reliability of business-critical information.

Responsibilities - Support data quality improvement activities, including data cleansing, validation, enrichment, and standardisation across business systems. - Review and analyse data records to identify duplicates, missing information, inconsistencies, and outdated data. - Assist in maintaining data accuracy and consistency across multiple platforms, including CRM and other business systems. - Analyse datasets to identify trends, data issues, and opportunities for process improvement. - Support data reconciliation activities and help ensure alignment between different data sources. - Prepare and organise datasets for r

About the role We are seeking a motivated and detail-oriented Data Quality & Business Data Analyst Intern to join our team and support data improvement initiatives. During this internship, you will gain hands-on experience working with business data, data quality processes, and enterprise systems. You will support activities related to data cleansing, validation, analysis, and enrichment, helping to improve the quality and reliability of business-critical information.

Responsibilities - Support data quality improvement activities, including data cleansing, validation, enrichment, and standardisation across business systems. - Review and analyse data records to identify duplicates, missing information, inconsistencies, and outdated data. - Assist in maintaining data accuracy and consistency across multiple platforms, including CRM and other business systems. - Analyse datasets to identify trends, data issues, and opportunities for process improvement. - Support data reconciliation activities and help ensure alignment between different data sources. - Prepare and organise datasets for r