TEAMS

Data & Analytics

VIEW DATA & ANALYTICS VACANCIES

Data and Analytics allows RVU to make data-driven decisions for consumers. Analytical skills and data are the core to how we run our entire business. We use data to improve the journeys our customers take and to make key decisions on how we grow our business. Data and Analytics is split into 3 disciplines with core shared priorities & community of practice. They work embedded in multi-disciplinary teams within and across RVU brands on a range of challenges.

There are many options for career progression ranging from senior to lead, and cross-discipline moves between analyst, data scientist or data engineer, to product or marketing manager, to business leader. With so many possibilities for development, which avenue you take depends on your interests, skills and experience!

Analysts are split into 4 competencies each with a different focus:

Web and Business Intelligence analysts are key to empowering business and product decisions and direction
Technical Data analysts build our data capabilities to enable quick, clean and clear decision making
Marketing and CRM Analysts are instrumental in understanding the customer and driving better business performance from relevant and timely messaging
Commercial Finance Analysts focus on revenue and commercial negotiations

Each of these roles have core competencies that are expected across the roles; strong SQL, a good understanding of how data is generated and strong communication skills.

The Data Science team applies machine learning, and other advanced algorithms and statistical techniques to help consumers make better decisions, and deliver advanced data insights at RVU. With access to some of the latest technologies, the team applies MLOps best practices to build and deploy their models at scale. Continuous learning and development is a core value, and the team has many opportunities available, including dedicated training days, hackathons, knowledge sharing sessions, and conferences.

Our Data Engineers shape and guide data consumption at RVU, enabling stakeholders across the organisation to make meaningful decisions.

We work according to a data mesh design where each team has ownership and responsibility for the data it produces.

Our Data Engineers create pipelines, monitor health and quality metrics, and work closely with various stakeholders to enable new use cases for data. We also work on central data infrastructure and tooling, and provide support on data issues to the wider business.