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
Preferred:
- 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
EXPERIENCE REQUIRED
- 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
Preferred Experience:
- Exposure to Azure Data Services (Synapse, Data Factory, ADLS)
- Experience with MLOps and model deployment
- Familiarity with GMP/GxP data integrity requirements
RequirementsKEY DUTIES & RESPONSIBILITIES
Core Technical Delivery
Data Engineering & Pipeline Management
- 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
Analytics, Modelling & Insights
- 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
Quality & Data Governance
- 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
Collaboration & Stakeholder Engagement
- 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
TECHNICAL COMPETENCIES
- 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
Desired Skills:
- Python
- Microsoft Fabics
- DAX
Desired Qualification Level:
- Degree
About The Employer: