Head of Business Analytics & Data Automation

SUMMARY:
The Head of Business Analytics and Data Automation will be leading the organisation's data strategy, driving automation initiatives and overseeing the development of business intelligence capabilities. Building scalable data pipelines, enabling data-driven decision-making, and fostering analytics maturity across the business.

POSITION INFO:
Key Responsibilities:

• Lead the end-to-end design, development, and maintenance of data automation processes, workflows, and data pipelines that support business operations and analytics.
• Oversee enterprise data management practices, ensuring high standards of data quality, governance, accessibility, and integrity across all platforms.
• Drive business intelligence initiatives, including the development of dashboards, automated reporting, and enabling self-service analytics for business users.
• Define and execute the organisation’s data and analytics roadmap, aligning data capabilities with strategic business objectives.
• Manage and collaborate with analytics teams, external vendors, and cross-functional stakeholders to deliver impactful data solutions.
• Identify and implement automation opportunities that improve operational efficiency and reduce manual effort across business processes.
• Support advanced analytics initiatives, including predictive modelling, data science, and machine learning projects.
• Ensure best practices across ETL/ELT pipelines, data automation frameworks, documentation, and data lifecycle management.
• Partner with business leaders to translate business requirements into scalable, reliable, and insight-driven data solutions.

• Bachelors degree in Data Science, Computer Science, Engineering, Statistics, Information Systems or a related field
• 3-5 years' hands-on experience in data automations, analytics engineering and business intelligence
• Proven track record of building analytics solutions using modern cloud BI platforms
• Experience in Power BI (advanced modelling, DAX, and data visualisation), Microsoft Fabric (data engineering, lakehouse, pipelines, and automation), Power Automate, SQL, R and Python

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