Analyst, Data Analytics

We are looking for a highly analytical and technically capable BI/Data Analyst to join our team. You will turn complex data into clear, actionable insights that support better business decisions.

Key Responsibilities:

• Analyze large and complex datasets to identify trends, drivers, anomalies and opportunities.
• Use Python and SQL for data manipulation, advanced analysis, automation and analytical modelling.
• Design and develop intuitive dashboards and reporting solutions using Power BI.
• Work within Microsoft Fabric to access, transform, analyse and deliver data and insight.
• Partner with stakeholders to translate business challenges into meaningful analytical questions, metrics and KPIs.
• Conduct deep-dive and root-cause analysis to understand what is happening, why it is happening and where action should be taken.
• Develop repeatable and scalable analytical solutions rather than relying on manual analysis.
• Communicate complex findings through clear visualisations, data storytelling and recommendations.
• Support data quality, governance, documentation and consistent reporting standards.

Requirements:

• Proven experience in a BI, Data Analyst or similar analytical role.
• Strong Python skills for data analysis, automation and statistical modelling.
• Strong SQL skills and experience working with large and complex datasets.
• Hands-on experience with Microsoft Fabric and its data and analytics capabilities.
• Strong experience developing dashboards and analytical solutions in Power BI.
• Experience applying advanced analytical techniques such as statistical analysis, forecasting, segmentation, cohort analysis, anomaly detection or driver analysis.
• Good understanding of data modelling, data warehousing and ETL processes.
• Strong problem-solving skills and the ability to turn ambiguous business questions into structured analysis.
• Excellent communication and data storytelling skills, with the ability to explain complex analysis to non-technical audiences.

Nice to Have:

• Experience with cloud platforms such as Azure.
• Experience developing automated or scalable analytical solutions.
• Exposure to machine learning or predictive analytics.
• Degree or equivalent experience in Mathematics, Statistics, Computer Science, Data Science or another quantitative discipline.