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Data AnalystImmploy • Cape Town, South Africa
Data Analyst

Data Analyst

Immploy • Cape Town, South Africa
2 days ago
Job description


SUMMARY:
Data Analyst - Pinelands, Cape Town

POSITION INFO:

Job Title: Data Analyst

Location: Pinelands, Cape Town

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

Qualifications:

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 outputs
  • 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


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Data Analyst • Cape Town, South Africa

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