What you will be doing:

• Translate business requirements into structured, analytics-ready data models.
• Analyse, profile, validate, and transform data to ensure quality and integrity.
• Design and maintain Data Vault 2.0 and dimensional data models.
• Develop and optimise complex SQL queries for data transformation and analysis.
• Ensure data accuracy, consistency, and completeness across enterprise data platforms.
• Collaborate with business stakeholders to understand reporting and analytics requirements.
• Work closely with engineering teams to deliver trusted datasets for reporting and analytics.
• Support data governance initiatives and ensure adherence to enterprise data standards.
• Perform data quality assessments and identify opportunities for process improvement.
• Contribute to the design and implementation of scalable data solutions within cloud-based environments.
• Document data models, business rules, and technical specifications.
• Provide technical guidance on data modelling best practices and analytical solutions.

What we are looking for:

• Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, or a related field.
• Minimum of 5 years' experience in Data Analysis.
• Minimum of 5 years' experience in Data Governance.
• Minimum of 5 years' experience using Data Modelling tools.
• Strong experience with Data Vault 2.0 and dimensional data modelling.
• Advanced SQL skills for data transformation, profiling, and analysis.
• Experience working with Azure, Databricks, and enterprise data platforms is preferred.
• Strong understanding of data governance principles and best practices.
• Excellent stakeholder engagement and communication skills, with the ability to bridge business and technical teams.
• Strong analytical, problem-solving, and documentation skills.

Advantageous Skills:

• Business writing skills.
• Governance, Risk, and Controls.
• Principles of Project Management.
• Relevant regulatory knowledge.
• Knowledge of enterprise software and systems.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

Please note that most of our positions are remote; however, candidates should reside within travelling distance of the client site, as the working arrangements may change depending on business requirements.