Head of Business Intelligence, Analytics Lead, Data Insights Manager

Define data strategy, architecture standards, and quality controls; supervise analysts and engineers; develop dashboards; run advanced analytics projects; and liaise with executives to align insights with corporate objectives.

Retail chains and loyalty programmes | Energy and utilities providers | Pharmaceutical research firms | Fast-moving consumer goods manufacturers | Banking and credit institutions | Public-sector analytics hubs | Professional sports performance departments

Entry typically comes through analyst or engineer positions honing SQL, Python, and storytelling skills. Professionals then lead small analytics squads, deliver executive reporting, and champion self-service data. Within ten years, they may run enterprise data functions or transition into chief data officer roles.

The shift towards real-time, democratised data keeps this role pivotal. Growing regulatory scrutiny around data ethics and the rise of synthetic data generation add new dimensions, ensuring sustained career momentum.

Data-warehouse design and cloud storage options | ETL/ELT pipeline orchestration tools | Predictive modelling and machine-learning oversight | Data-visualisation platforms like Power BI or Tableau | Metadata management and data-cataloguing | Governance frameworks and audit readiness | Statistical programming in Python or R

Analytical curiosity and problem framing | Team leadership and mentoring analysts | Communication of complex findings simply | Stakeholder negotiation over data priorities | Change advocacy towards data-driven culture | Time management across concurrent projects | Ethical stewardship of sensitive information