IT Data Analysts

A leading organisation in the healthcare and manufacturing sector is looking to appoint a dynamic passionate confident proactive and meticulous Data Analyst to join a goal-oriented team.

The successful candidate will play a key role in transforming data into actionable business insights developing scalable data solutions and supporting data-driven decision-making across the organisation.

• BSc / BCom in Computer Science Statistics Data Science Mathematics or related field
  

• Honours or postgraduate degree in Data Science or Applied Mathematics
  
• Experience in pharmaceutical life sciences or regulated manufacturing environments (GxP advantage)
  
• Prior pharmaceutical or regulated manufacturing experience is advantageous
  

• Proven delivery of end-to-end data projects from raw data through to business output
  
• Strong proficiency in Python for data manipulation modelling and automation
  
• Hands-on experience with Microsoft Fabric (Lakehouses Pipelines Notebooks Semantic Models)
  
• Power BI dashboard and report development including DAX and data modelling
  
• SQL and relational/non-relational database expertise
  
• Data engineering fundamentals including ETL/ELT processes
  
• Experience with data visualisation reporting and storytelling
  
• Knowledge of cloud-based data architecture and platforms
  

• Exposure to Azure Data Services (Synapse Data Factory ADLS)
  
• Experience with MLOps and model deployment
  
• Familiarity with GMP/GxP data integrity requirements
  

• Design build and maintain scalable ETL/ELT pipelines within Microsoft Fabric
  
• Ingest cleanse and transform structured and unstructured datasets
  
• Manage Lakehouse architecture data flows and Fabric workspaces
  
• Monitor pipeline performance and implement data quality controls
  
• Ensure data lineage cataloguing and governance compliance
  

• Develop statistical and machine learning models to solve business challenges
  
• Conduct exploratory data analysis and communicate findings to non-technical stakeholders
  
• Build and maintain Power BI dashboards and semantic models
  
• Translate business requirements into data hypotheses and actionable insights
  
• Conduct forecasting and trend analysis where required
  

• Ensure all data processes comply with organisational governance and quality standards
  
• Maintain audit-ready documentation of data models pipelines and outputs
  
• Support the development of a strong data quality culture across the organisation
  
• Identify and remediate data integrity risks proactively
  

• Collaborate with business units and leadership teams to prioritise data requirements
  
• Present findings reports and dashboards to management and executive stakeholders
  
• Mentor junior analysts where applicable
  
• Work closely with IT teams regarding infrastructure and data security requirements
  

• Ability to communicate technical concepts to non-technical audiences
  
• Statistical modelling and machine learning using libraries such as scikit-learn and statsmodels
  
• Power BI expertise including DAX Power Query and Semantic Model design
  
• Data visualisation best practices
  
• Experience with Notebooks VS Code and Fabric Notebooks
  
• Microsoft Fabric (Pipelines Dataflows Lakehouses Notebooks)
  
• Python (pandas PySpark NumPy)
  
• SQL / T-SQL / KQL
  
• Azure Data Lake Storage and cloud data infrastructure
  
• ETL design patterns and orchestration
  
• Data governance frameworks and metadata management
  
• Enterprise data platforms including Microsoft Fabric Azure and Power BI
  
• Data engineering and integration methodologies
  
• Data storytelling and business insight generation
  
• Cloud-based data architecture principles