Commercial Data Specialist

About the role

The Commercial Data Specialist connects, harmonises and quality-controls commercial data across multiple source systems so that trusted, business-ready information is available for analytics and decision-making. The role bridges data owners, Commercial stakeholders, Master Data and Data Technology teams to resolve issues and continuously improve data usability.

Key responsibilities

• Work with commercial stakeholders on their data requirements, needs and pain points, and with technical stakeholders to ensure governance standards are followed.
• Connect and reconcile data from multiple commercial sources to create a consistent view of key measures and dimensions.
• Perform data quality checks, root-cause analysis and issue tracking across completeness, accuracy, consistency and timeliness.
• Harmonise definitions, mappings and business rules with source owners and Master Data.
• Automate repeatable quality-control, reconciliation and maintenance activities using SQL and appropriate tools.
• Act as the coordination point between Commercial teams, source owners, Master Data and Data Technology, resolving and advancing data issues.
• Maintain data documentation, definitions, controls, issue logs and change records.
• Provide business requirements and quality criteria to technical teams and contractors delivering datasets, semantic models or Power BI assets.
• Apply a basic understanding of data pipelines, Databricks, engineering and architecture to guide delivery without owning pipeline development.

Required profile

• Bachelor's degree in Information Systems, Data Engineering, Computer Science, Business Analytics or a related field.
• Minimum 2 years' relevant experience in commercial data, analytics engineering, data quality, business intelligence or a similar field.
• Demonstrated ability to reconcile data, identify quality issues and turn findings into clear remediation actions.
• Good commercial and business knowledge, strong stakeholder coordination, documentation and problem-solving skills.

Required skills

• Strong SQL skills and practical experience with Databricks or comparable modern data platforms.
• Working knowledge of data engineering concepts, architecture, ETL/ELT and data pipelines.
• Experience guiding the development of semantic models, Power BI datasets or business-ready data products.
• Experience with automation, data cataloguing, master data or data governance processes.
• Exposure to FMCG commercial data, customer hierarchies, product masters or route-to-market datasets.