Data Analyst

The Role:

• Lead/support workshops and stakeholder interviews to understand business objectives, processes, reporting pain points and analytical requirements.
• Translate business needs into data definitions, user stories, report specifications, measures, business rules and acceptance criteria.
• Challenge unclear or low-value requests and recommend fit-for-purpose analytical solutions.
• Define report purpose, audience, frequency, ownership and required level of detail.
• Analyse operational, financial and customer data to identify trends, drivers, anomalies, and exceptions and improvement opportunities.
• Produce recurring and ad hoc analysis with concise business commentary.
• Perform: segmentation analysis, variance analysis, trend analysis, root-cause analysis, forecasting and scenario modelling.
• Translate analytical findings into business-friendly language.
• Clearly distinguish between facts, assumptions, correlations and conclusions.
• Ensure analytical findings are reproducible and supported by validated data.
• Profile data for completeness, accuracy, consistency, validity, uniqueness and timeliness.
• Investigate data discrepancies and determine root causes.
• Develop/perform data validation and reconciliation.
• Provide business-facing support for reporting and analytical products.
• Develop clear dashboards and data visualisations where appropriate.
• Use Excel, Power BI and SQL to extract, analyse and present information.
• Identify opportunities for predictive analysis, anomaly detection and AI-supported analytics.
• Validate AI-generated outputs against trusted business data.
• Document analytical assumptions, limitations and validation steps.
• Influence KPI definitions, prioritisation and adoption across business functions.
• Present insights and recommendations to business stakeholders

Requirements:

• 3-5+ years experience as a Data Analyst (duties as above)
• Degree is desirable
• Advanced Excel
• Experience using Power BI and SQL