Data-Driven Organisation

• Be the company's lead advocate for the efficacy of a data-driven approach to decision making. You should make data-driven behaviours increasingly accessible to non-technical employees.

• Establish meaningful relationships with department leaders, taking time to understand pain points, growth opportunities, key business metrics, and other potential areas of support from the Data Analytics (Business Intelligence and Data Science) team.

• Collaborate with business leaders to evaluate and, where necessary, re-define key metrics for tracking, reporting, and analysis.

• Build & optimize dashboards according to user requirements, enabling data-informed decisions and meaningful monitoring / analyses of metrics across the organization.

• Bridge the gap HEAD OF DATA ANALYTICSbetween departments, delivering solutions to support cross-functional decision making.

• Partner our Data Engineer(s) to identify and resolve potential gaps/ issues in the data, increase data integrity and reliability across the organization, and continually deliver solutions to data-related problems.

Data & Analytics as a Service (DaaS) Product

• Develop Product Vision, Strategy and Roadmap for Data & Analytics As A Service (DaaS). Define the associated product performance, financial and operational metrics to measure the health and success of products and initiatives.

• Seek out and work with external partners to enrich the company's data and advance the capabilities of DaaS.

• Collaborate closely with Sales and Marketing teams to develop Go-To-Market strategy for DaaS.