BIOVAC is one of the leading sterile vaccine manufacturers rooted in Africa, with our core purpose being to "protect life". We are looking to hire a dynamic, passionate, confident, proactive and meticulous Data Analyst to join a goal-oriented team

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 (GxP advantage)
• Prior pharmaceutical or regulated manufacturing experience is advantageous.

Experience needed to deliver the role seamlessly:

• Demonstrated delivery of end-to-end data projects from raw data to business output
• Proficiency in Python for data manipulation, modelling and automation
• Hands-on experience with Microsoft Fabric (Lakehouses, Pipelines, Notebooks, Semantic Models)
• Power BI report and dashboard development including DAX and data modelling
• SQL and relational/non-relational database knowledge
• Data engineering fundamentals (ETL/ELT): data extraction, transformation, and integration
• Data visualisation and storytelling: dashboards, reporting, and insight generation
• Data architecture and cloud platforms

Preferred:

• Exposure to Azure Data Services (Synapse, Data Factory, ADLS)

• Experience with MLOps and model deployment

• Familiarity with GMP/GxP data integrity requirements

KEY DUTIES & RESPONSIBILITIES OF THE ROLE:

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 data sources
• 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 problems
• Perform exploratory data analysis and communicate findings to non-technical stakeholders
• Build and maintain Power BI dashboards and semantic models
• Translate business questions into data hypotheses and actionable insights
• Conduct forecasting and trend analysis as required

Quality & Data Governance

• Ensure data processes adhere to organisational data governance and quality standards
• Maintain audit-ready documentation of data models, pipelines and outputs
• Participate in building a data quality culture across the business
• Proactively identify and remediate data integrity risks

Collaboration & Stakeholder Engagement

• Work closely with the Innovation Manager and business units to prioritise data needs
• Present findings and dashboards to management and executive teams
• Mentor junior analysts where applicable
• Engage with IT on data infrastructure and security requirements

Technical Competencies:

• Communication of technical concepts to non-technical audiences
• Statistical modelling and machine learning (scikit-learn, statsmodels)
• Power BI - DAX, Power Query, Semantic Model design
• Data visualisation best practices
• Notebooks / VS Code / 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: Microsoft Fabric, Azure, Power BI or equivalent
• Data engineering fundamentals (ETL/ELT): data extraction, transformation, and integration
• Data visualisation and storytelling: dashboards, reporting, and insight generation
• Data architecture and cloud platforms

Application Deadline: 24 April 2026

If you do not receive a response from us within three weeks after closing date please understand that your application was not successful.

Disclaimer:

Dear Applicant, we appreciate your interest in joining our organization. It is imperative for us that you understand how we handle your information. We are committed to ensuring the security and confidentiality of the information you provide. Your personal details will be collected for the sole purpose of the application process and will be used strictly for that purpose. By applying, you acknowledge and consent to the collection, use, and protection of your personal information in accordance with our privacy policy. If you have any inquiries or concerns, our Human Capital department is available to provide clarification. We look forward to reviewing your application.''

For detailed information on data handling, please review our privacy notice:

https://www.biovac.co.za/wp-content/uploads/2022/08/published_Biovac-Privacy-Notice-20220617-2306-en.pdf