Job Description
WE ARE HIRING!

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.

QUALIFICATIONS NEEDED
Required:

• 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