Pros
Strong technical growth. Cartrack has given you genuinely substantial work — multi-schema PostgreSQL, production Python reporting pipelines, microservices debugging, and ML projects (the QA rating and case prediction models). That's a meaningful step up in scope and complexity, and it's building exactly the kind of portfolio that moves you toward data science. Real-world data at scale. As a global telematics company, it exposes you to large, messy, production datasets and real stakeholder reporting demands. That experience is hard to get elsewhere and is exactly what data science and analytics roles want to see. Brand recognition. Cartrack is a well-known, established company. Having it on your CV carries weight with recruiters and lends credibility to your analytics experience, especially relative to a smaller previous employer.
Cons
Location and commute. It's Johannesburg-based while you're in Pretoria, which is the core friction, the commute is a real cost to time and work-life balance, and the main reason a Pretoria-based role appeals. Role positioning. It's a data analyst role centred on reporting and customer-care analytics. If your goal is data science, there may be a ceiling on how much modelling and predictive work you can do day-to-day versus pipeline and reporting maintenance. Tooling lock-in to one stack. The work is heavily Python/PostgreSQL/Jupyter focused. That's a strength, but it means less exposure to other in-demand tools (e.g. Power BI, cloud ML platforms, dbt) that broaden your options for certain roles — including the Embassy one, which is Microsoft-centric.