About Candide
Candide is an AI-first tech company based at Babylonstoren in the Cape Winelands, with a second office in the UK. We build the digital products behind some of the world’s most celebrated hospitality and lifestyle estates — Babylonstoren, The Newt in Somerset, Vignamaggio, and others.
Our office sits on the Babylonstoren estate itself, surrounded by gardens, mountains, and farm-to- table food. We design, build and maintain eCommerce platforms, mobile apps, admissions and membership systems, booking engines, and brochure websites. Our team is small but high-impact, working across a portfolio of luxury brands that people genuinely love.
Role purpose
You will make sure every estate leader understands their business deeply, sees problems and opportunities early, and acts with confidence.
You do that by turning business questions into reports and analysis people trust and use, quickly and to a high standard, and by helping build the foundation the pod’s reporting stands on. This is a senior, hands-on role: most of your time goes into building, checking and delivering. The Insights & Predictive Analytics pod owns everything from the semantic model to the person using the data: reporting, metric definitions, self-service analytics and forecasting. Working with the Head of Data & CRM, you help shape the models, standards and ways of working of that layer, own delivery end to end for the estates and business areas you look after, and lead forecasting for them.
This role suits an experienced analyst who enjoys delivering, learns a business fast, takes on demanding reporting work and wants to help set how a growing pod builds.
Key responsibilities
Business understanding
Become the go-to analyst for the business areas you look after: what they sell, what drives their performance and how decisions are made.
Work with business owners to understand what they need to see, and challenge a request when a better measure exists.
Propose the metrics, leading and lagging indicators and owners for your areas, and agree them through the pod’s metric governance.
Be the pod’s technical voice on your projects: explain what is possible, what it will cost and what the trade-offs are, and break large requests into plans with the Product Owner.
Reporting delivery
Take requests from question to trusted report: requirements, build, checks, release and handover.
Take on complex, high-value reporting work, turning an unclear question into a report the business relies on.
Build reports, measures and model extensions on the pod’s shared, certified models.
Write and interpret SQL across our data sources to answer questions and test what you build.
Keep several pieces of work moving at once, deliver at a steady pace and set realistic expectations when priorities compete.
Semantic models and standards
Design and own one or more of the pod’s shared, certified semantic models, built for other analysts to reuse across estates.
Help write and keep up the pod’s standards for modelling, naming, measures and report design, and set the example in your own work.
Help set up and run how reporting moves to production: version control, testing, and review and approval before release.
Agree with Data Engineering where data and business rules live for the models you own.
Metric governance and data quality
Take the metrics for your areas through to one certified definition, documented and used the sameway across estates.
Check your numbers against source and existing reports before release, and build checks that catch problems before stakeholders do.
Raise data gaps and issues with Data Engineering, rather than working around them in a report.
Look after the day-to-day health of the reporting estate, such as access, refresh schedules and workspace tidiness.
Move older reports onto certified measures, and retire those that no longer earn their place.
Insight, analysis and forecasting
Answer the question that was asked, and point out trends, early warnings and what to…