Specialist, Data Management PHC

About the role

Ball, a manufacturer of sustainable aluminium packaging, is looking for a Specialist, Data Management for its PHC site. The role establishes and enforces data management excellence standards to optimise manufacturing processes, strengthen data analysis and give practical recommendations that improve business applications while ensuring data integrity and supporting decision-making. It is posted internally for a minimum of 5 days and remains open until filled.

Key responsibilities

• Develop and implement data management standards to ensure data integrity, security and confidentiality, and design efficient, scalable and flexible data solutions.
• Analyse data and performance metrics to find trends and insights for strategic decisions.
• Work with multi-disciplinary teams to understand manufacturing data needs.
• Develop data governance policies so data is collected, stored, processed and used in line with compliance guidelines.
• Support the IT team in developing data security strategies and evaluate and select data management tools and technologies.
• Monitor data quality through regular assessments and implement data cleaning, standardisation and improvement processes.
• Train users on data management tools and continuously propose improvements to data management practices.
• Act as a second Subject Matter Expert for MES data collection and system usage across PHC, covering MASA and other MES systems (full training provided).

Required profile

• Bachelor's degree in Engineering, Business or Data Management.
• Minimum 3 years of experience in data management activities and data analysis.
• Minimum 3 years of experience with BI tools and dashboard management.
• Minimum 2 years of experience integrating and leading multifunctional data-focused teams.

Required skills

• Advanced proficiency in BI tools and dashboard construction (Power BI / Qlik Sense)
• Advanced proficiency in ERP tools (SAP-PP / MM / PM)
• Intermediate to advanced proficiency in relational databases and ETL
• Intermediate to advanced proficiency in SQL and VBA
• Intermediate proficiency in statistics applied to data management and continuous improvement
• Working knowledge of cloud data management (Snowflake / Azure) and industrial data management (sensing, PLC, SCADA, MES)
• RPA, AI / machine learning and data modelling; process mapping / BPMN; AI-assisted analytics is an advantage