BI Analyst

• Conduct advanced ad hoc analysis across financial, operational, and commercial data sets to answer complex and time-sensitive business questions.
  
• Perform deep-dive analysis to uncover trends, anomalies, and patterns that inform strategic decisions.
  
• Develop and apply statistical and analytical models to support forecasting, performance measurement, and scenario analysis.
  
• Translate raw data into structured insights with clear narrative and visual context for executive and management audiences.
  
• Support the FP&A team with data-driven modelling for budgeting, forecasting, and business reviews.
  
• Identify recurring ad hoc requests and productionise those insights into automated dashboards or self-service tools — reducing manual effort, improving consistency, and freeing capacity for higher-value analysis.
  
• Use Python (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation where SQL or Excel alone are insufficient.
  

AI Augmented Analytics (Claud AI & Copilot)

• Leverage Claude AI to accelerate data analysis, draft analytical narratives, generate and review SQL queries, and automate repetitive reporting tasks.
  
• Use Microsoft Copilot across Excel, Power BI, and Teams to improve the speed, accuracy, and quality of analytical outputs.
  
• Apply prompt engineering skills to extract accurate, contextually relevant outputs from AI tools for real business use cases.
  
• Stay ahead of AI developments relevant to BI and analytics — proactively identifying, trialling, and evaluating new tools and approaches that could benefit the team.
  
• Document AI-assisted workflows and share learnings across the team to build broader capability and a culture of AI-first thinking.
  

Data Collection, Modelling & Governance

• Gather, cleanse, reconcile, and transform data from multiple sources to ensure accuracy and integrity across all reporting.
  
• Develop and maintain data models, pipelines, and documentation in line with governance standards and best practices.
  
• Implement data quality checks and validation processes across all BI solutions before they reach production.
  
• Maintain data dictionaries and ensure consistency in definitions and terminology across the organisation.
  
• Work with IT and the Data Engineering team to ensure data availability, integrity, and access for analysis — raising change requests professionally through the Jira process.
  

Excel & Microsoft Suite

• Build and maintain advanced Excel models using dynamic arrays, Power Query, Power Pivot, and complex formula logic.
  
• Automate repetitive Excel-based reporting tasks using macros, VBA, or Power Automate integrations where appropriate.
  
• Support the business with Excel-based financial models, variance analysis tools, and structured data templates.
  

Business Collaboration & Stakeholder Engagement

• Work closely with business units to understand their goals and challenges, providing data-driven recommendations that support strategic decision-making.
  
• Present findings and insights to management and stakeholders in a clear, concise, and impactful way — translating complexity into accessible narratives.
  
• Collaborate with the Finance Team on all aspects of reporting, including deadlines, deliverables, and iterations.
  
• Manage multiple concurrent analytics projects, balancing urgency and complexity effectively.
  

Continuous Improvement & Innovations

• Identify opportunities to streamline and improve existing BI processes and reporting methods.
  
• Stay current with industry trends and best practices in data analytics, business intelligence, and AI tooling.
  
• Contribute to the development and implementation of new BI tools, standards, and solutions.
  

Requirements

What we are looking for:

• Higher Education degree in Data Science, Computer Science, Statistics, Business, or a related field.
  
• Microsoft PL-300 Power BI Data Analyst certification is advantageous.
  
• 3–5 years of proven experience in a BI or data analysis role.
  
• Demonstrated proficiency in Microsoft Power BI, including data modelling, DAX, and report building.
  
• Solid SQL skills, including data modelling and exploratory analytics across large data sets.
  
• Experience with Looker Studio or similar BI tools (will support the migration to Power BI).
  
• Advanced Microsoft Excel skills: Power Query, Power Pivot, dynamic arrays, and complex formulas.
  

Advantageous

• Additional courses in SQL, data modelling, statistics, or AI applications will be advantageous.
  
• Python proficiency (pandas, numpy, matplotlib/seaborn) for advanced data manipulation, statistical analysis, and visualisation is advantageous.
  
• Experience using AI productivity tools (Claude AI, Microsoft Copilot, or equivalent) in a professional analytics context is strongly advantageous.
  
• Understanding of financial principles and reporting is advantageous.
  
• Previous experience in a multinational or fin-tech environment is advantageous.