Senior Data Analyst

My client is a leading information and technology-enabled health services business. They are dedicated to modernizing the health care system and improving the lives of people and communities. Serving virtually every dimension of the health system, they work with a diverse set of clients across 150 countries, from those who diagnose and treat patients to those who pay for care, deliver health services, and those who supply the cures.

My client is seeking an experienced Senior Data Analyst for a 6 month contract opportunity, joining a high-impact data transformation programme. You will play a central role in a strategic initiative to migrate data assets from SaaS platforms to Databricks on Azure, working as part of a collaborative data team of five.

This is a hands-on senior role requiring a blend of strong analytical capability, technical depth, and stakeholder engagement skills.

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• Lead analysis and interpretation of complex data sets in line with business requirements and programme objectives.
  
• Drive end-to-end requirements gathering and data mapping activities, translating business needs into clear technical specifications.
  
• Manage scope effectively across workstreams, handling change requests in a structured and transparent manner.
  
• Partner closely with the Engineering team to support development activities, providing analytical input and ensuring data solutions meet business intent.
  
• Contribute to data migration workstreams, supporting the transition of data assets from SaaS platforms to Databricks on Azure.
  
• Design and execute testing strategies to validate data quality, integrity, and alignment with requirements throughout the migration lifecycle.
  
• Investigate and resolve issues in data pipelines, source systems, and analytical outputs, escalating where appropriate.
  
• Develop and maintain data visualisations and dashboards using Power BI to support business reporting and decision-making.
  
• Facilitate and lead requirements workshops with stakeholders at various levels, ensuring alignment and buy-in.
  
• Document business cases, solution designs, and project artefacts, supporting delivery from inception through to go-live.
  
• Apply business process modelling techniques to identify gaps and opportunities within existing data workflows.
  

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• 8–10 years of experience in a Data Analyst or similar data-focused role.
  
• Proven experience delivering transformational data projects, ideally involving large-scale data migrations or platform modernisation.
  
• Strong proficiency in SQL and Python for data extraction, transformation, and analysis.
  
• Demonstrated experience in data analysis and data mapping, with an ability to work across complex, multi-source data environments.
  
• Solid understanding of testing methodologies, including the design and execution of test plans and test cases for data solutions.
  
• Proficiency in Power BI for data visualisation, reporting, and dashboard development.
  
• Track record of investigating and resolving issues across data pipelines, source systems, and code.
  
• Strong collaboration skills, with experience working as part of cross-functional delivery teams.
  
• Excellent communication skills, with the ability to present complex data concepts clearly to both technical and non-technical audiences.
  
• Databricks experience — working with lakehouse architectures, notebooks, and Delta Lake.
  
• Azure cloud platform experience, including services relevant to data and analytics workloads (e.g. Azure Data Factory, Azure Synapse, ADLS).
  
• Data warehousing experience, including dimensional modelling and ETL/ELT design principles.
  
• Agile delivery experience, with comfort working within sprint-based, iterative delivery frameworks.
  
• Stakeholder management capabilities, including facilitating workshops, managing expectations, and communicating across business and technical teams.
  
• Experience documenting business cases and managing projects from inception through design to delivery.
  
• Familiarity with SaaS data platforms is advantageous but not required — what matters is the ability to understand source systems and migration patterns.
  
• Background in MedTech, health insurance, or a regulated industry is a plus. xcfaprz
  

A generous daily rate on offer in line with experience.