Are you a data-driven problem solver with a passion for turning complex data into meaningful insights? We’re looking for a Senior Analytics Engineer to join a leading organisation in the pharmaceutical space on a short-term contract in Gauteng.

This is an exciting opportunity to work at the intersection of data, healthcare, and innovation, contributing to analytics solutions that directly impact business decisions and patient outcomes.

You would be responsible for designing and leading the development of scalable, high-quality analytics data platforms that enable advanced analytics, business intelligence, and AI use cases. This role plays a strategic function in defining data modelling standards, ensuring data reliability, and aligning analytics engineering practices with organisational data strategy.

The role also provides technical leadership and mentorship within the analytics engineering function, ensuring best practices, consistency, and continuous improvement across the data lifecycle.

What you will be doing:

·       Analytics Data Modeling & Architecture.

·       Data Quality, reliability & Observability.

·       Enablement of Advanced Analytics and BI.

·       Leadership, Governance & Standards.

·       Stakeholder Engagement & Strategy.

·       Mentorship & Teams Development.

Requirements

What you need:

·       Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, Engineering, or related field.

·       5+ years of experience in analytics engineering, data engineering, or advanced analytics roles.

·       Expert-level proficiency in SQL and extensive experience designing scalable analytical data models.

·       Strong experience with data transformation tools (e.g., dbt) and modern data warehouses (e.g., BigQuery, Snowflake, Redshift).

·       Deep understanding of data modelling concepts (star schema, dimensional modelling, data vault, fact/dimension design).

·       Proven experience working with BI tools (Power BI, Tableau, Looker etc.) and enabling self-service analytics.

·       Strong experience with version control systems (e.g., Git) and CI/CD practices in data workflows.

Advantageous:

·       Postgraduate qualification in a related field.

·       Experience in retail, healthcare, or financial services data environments.

·       Strong experience with cloud platforms (AWS, Azure, GCP).

·       Exposure to machine learning pipelines and feature engineering.

·       Experience mentoring or leading analytics/data teams.

If you’re ready to make an impact and bring data to life in a meaningful way, we’d love to hear from you.