Senior Business Intelligence Analyst

KNOWLEDGE & ATTRIBUTES: > Advanced analytical mindset with the ability to structure ambiguous business problems, identify relevant data sources, and translate findings into clear, decision-ready insights. > Ability to translate complex business and functional requirements into clear, actionable technical designs across ingestion, transformation, semantic modelling, reporting, and consumption layers. > Strong understanding of business intelligence, data architecture, semantic modelling, data visualisation, and analytics delivery in enterprise environments. > Strong knowledge of data governance, data quality, data protection, privacy, security, and access control principles, with the judgement to embed them pragmatically into solution design. > Proficient in advanced analytics and reporting tools, including Excel, Power BI, SQL-based analysis, semantic models, DAX, and modern cloud data platform capabilities. > Strong ability to identify trends, anomalies, root causes, business opportunities, and risks from complex internal and external datasets. > Excellent communication, listening, interpersonal, and presentation skills, with the ability to explain technical topics to non-technical stakeholders and influence decisions across multiple teams. > Strong collaboration skills and ability to build trusted working relationships with business stakeholders, IT delivery teams, data governance, security, and platform teams. > High attention to detail, strong ownership mindset, and disciplined approach to documentation, requirements quality, testing, validation, and continuous improvement. > Self-directed, highly organised, outcome-oriented, and able to independently coordinate multiple assignments while maintaining delivery quality in a global, cross-functional environment.

KNOWLEDGE & ATTRIBUTES: > Advanced analytical mindset with the ability to structure ambiguous business problems, identify relevant data sources, and translate findings into clear, decision-ready insights. > Ability to translate complex business and functional requirements into clear, actionable technical designs across ingestion, transformation, semantic modelling, reporting, and consumption layers. > Strong understanding of business intelligence, data architecture, semantic modelling, data visualisation, and analytics delivery in enterprise environments. > Strong knowledge of data governance, data quality, data protection, privacy, security, and access control principles, with the judgement to embed them pragmatically into solution design. > Proficient in advanced analytics and reporting tools, including Excel, Power BI, SQL-based analysis, semantic models, DAX, and modern cloud data platform capabilities. > Strong ability to identify trends, anomalies, root causes, business opportunities, and risks from complex internal and external datasets. > Excellent communication, listening, interpersonal, and presentation skills, with the ability to explain technical topics to non-technical stakeholders and influence decisions across multiple teams. > Strong collaboration skills and ability to build trusted working relationships with business stakeholders, IT delivery teams, data governance, security, and platform teams. > High attention to detail, strong ownership mindset, and disciplined approach to documentation, requirements quality, testing, validation, and continuous improvement. > Self-directed, highly organised, outcome-oriented, and able to independently coordinate multiple assignments while maintaining delivery quality in a global, cross-functional environment. ACADEMIC QUALIFICATIONS & CERTIFICATIONS: • Bachelor’s degree in a relevant discipline such as Computer Science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, Statistics, Finance, Business Administration, or a related field. • Advanced degree or postgraduate qualification in data, analytics, technology, or business is advantageous but not mandatory. • Relevant professional certifications are advantageous, for example Microsoft Power BI Data Analyst, Microsoft Fabric, Azure Data Engineer, Azure Data Fundamentals, Databricks, SQL, data governance, data privacy, or agile delivery certifications. • Equivalent combination of education, professional certifications, and demonstrable enterprise analytics experience may be considered. REQUIRED EXPERIENCE: > Advanced demonstrated experience working in a business intelligence, analytics, data product, or solution architecture capacity within a complex enterprise environment. > Proven experience translating business needs into end-to-end analytics solutions, including requirements definition, data sourcing, modelling, dashboard design, testing, deployment, and adoption support. > Advanced experience working with data collection, ingestion, transformation, validation, reconciliation, and reporting tools across internal and external data sources.

> Strong hands-on experience with Power BI architecture, including report development, semantic models, DAX, performance optimisation, row-level security, deployment pipelines, and governed shared datasets. > Experience with modern data platforms and cloud-based analytics capabilities, such as Azure Data Factory, Microsoft Fabric, Databricks, SQL databases, data lakes, APIs, or comparable technologies. > Experience producing Excel-based and BI-based reporting, analytics outputs, briefing notes, dashboards, metrics layers, and executive-ready insights used to inform business decisions.

> Experience with modern data platforms and cloud-based analytics capabilities, such as Azure Data Factory, Microsoft Fabric, Databricks, SQL databases, data lakes, APIs, or comparable technologies. > Experience producing Excel-based and BI-based reporting, analytics outputs, briefing notes, dashboards, metrics layers, and executive-ready insights used to inform business decisions. > Demonstrated experience identifying trends, patterns, anomalies, business drivers, risks, and improvement opportunities from large or complex datasets. > Experience collaborating with business stakeholders, IT delivery teams, enterprise architecture, data governance, security, and privacy stakeholders to deliver secure, scalable, and maintainable analytics solutions. > Experience documenting requirements, specifications, data flows, business rules, metrics definitions, technical designs, testing outcomes, and operational support procedures. > Experience providing support, resolving business and data issues, recommending process improvements, and improving the accuracy, relevance, usability, and actionability of analytics outputs.

REQUIRED EXPERIENCE: > Advanced demonstrated experience working in a business intelligence, analytics, data product, or solution architecture capacity within a complex enterprise environment. > Proven experience translating business needs into end-to-end analytics solutions, including requirements definition, data sourcing, modelling, dashboard design, testing, deployment, and adoption support. > Advanced experience working with data collection, ingestion, transformation, validation, reconciliation, and reporting tools across internal and external data sources. > Strong hands-on experience with Power BI architecture, including report development, semantic models, DAX, performance optimisation, row-level security, deployment pipelines, and governed shared datasets. > Experience with modern data platforms and cloud-based analytics capabilities, such as Azure Data Factory, Microsoft Fabric, Databricks, SQL databases, data lakes, APIs, or comparable technologies.