Data Analytics & Business Intelligence Manager

Set priorities and determine the right solution approach (dashboard vs report vs analysis) and KPI standards for the domain. Decide the delivery approach (capacity planning, sequencing, trade-offs, and escalations). Own delivery risks (dependencies, data readiness, timelines, and quality) and communicate proactively. Build executive-ready narratives and recommendations grounded in data; support decision-making and track follow-up actions. Establish and monitor data quality controls (freshness, completeness, reconciliation, and validation). Guide solution design in Looker (reviewing and steering LookML) and Qlik Sense (apps, data model, performance), prioritising reusability and scalability. Ensure BigQuery best practices: query efficiency, partitioning/clustering, cost awareness, and fit-for-purpose datasets for analytics consumption. Ensure consistent use of SAS for analytics, validation, and/or analytical input preparation where applicable. Ensure responsible data handling (access controls, classification, least privilege, security practices) and sufficient documentation for audit/controls where relevant. Manage and develop the BI/Analytics team (coaching, work allocation, objectives, feedback, and performance management). Lead demand intake, define priorities, and maintain a backlog/roadmap for US stakeholders. Ensure consistent execution: meeting SLAs, high-quality deliverables, stable refresh cycles, incident management, and coordinated releases. Strong experience leading end-to-end BI/Analytics delivery in enterprise environments. Demonstrated experience in people management, performance management, and talent development. Proven stakeholder management skills (including senior audiences) and experience working with distributed teams. Advanced SQL with the ability to review/mentor team deliverables. Hands-on experience with Looker and/or Qlik Sense (design, optimisation, and content governance). Experience with Google Cloud / BigQuery for analytics consumption. Working knowledge of SAS (analysis, validation, reporting/outputs). Business-level English (meetings, presentations, documentation) to support US stakeholders. Strong ownership and accountability (“what we commit to, we deliver”). Clear communication and influence in matrix environments. Analytical mindset, internal-customer orientation, and focus on impact. Ability to raise standards (quality, documentation, automation) without slowing delivery.