Data Analyst - BI, Python and AI

About the role

The Data Analyst works closely with business and technology teams to design and deliver data, analytics and AI solutions that support operational excellence and data-driven decision-making. The role combines Business Intelligence, data engineering, Python development and applied AI, with a focus on turning business problems into practical, scalable solutions. It suits someone who is hands-on technically but also comfortable engaging stakeholders, managing requirements and driving solutions from concept through implementation.

Key responsibilities

• Partner with business stakeholders to understand objectives, operational challenges, KPIs and analytical requirements, and turn them into data, BI and AI solutions.
• Own the end-to-end delivery of data, analytics and AI initiatives, from requirements definition and design to development, implementation and continuous enhancement.
• Design, develop and maintain BI dashboards, reports and analytical products, mainly with Power BI or equivalent modern BI tools.
• Analyse complex datasets to find trends, patterns and actionable insights, and create clear data visualisations and storytelling for stakeholders.
• Develop data processing, analytics, automation and AI components using SQL and Python.
• Explore and support Generative AI and Agentic AI solutions, including LLM-powered applications and intelligent workflows.
• Improve BI, analytics, data and AI standards, platforms and processes, and stay up to date with emerging analytics, cloud and AI technologies.

Required profile

• Degree in Computer Science, Information Systems, Data Science, Data Analytics, Mathematics, Statistics, Engineering, Technology or a relevant discipline.
• Relevant professional certifications in BI, cloud, data engineering, analytics or AI are an advantage.
• Experience in Business Intelligence, Data Analytics, Data Engineering, AI Development or AI product roles.
• Experience delivering analytics solutions in complex enterprise environments and working across business and technology teams.
• Experience managing stakeholder requirements and delivering multiple analytics initiatives or workstreams.

Required skills

• Strong hands-on experience building enterprise dashboards with Microsoft Power BI, Tableau or similar BI tools.
• Python for data processing, analytics, automation or AI development.
• Data warehouses, databases, data pipelines and modern cloud data platforms.
• Advantageous: Microsoft Azure, AWS, GCP; Generative AI, LLMs, RAG, Agentic AI or AI product development.