The Senior BI/ Data Analyst plays a critical role in transforming data into actionable insights that drive strategic and operational decision-making across the organisation.

This role combines advanced analytics, business intelligence, and data storytelling to bridge the gap between data and business. The incumbent is responsible for delivering high-impact insights, building scalable reporting solutions, and enabling a data-driven culture across the organisation.

• Analyse complex datasets to uncover trends, risks, and opportunities
  
• Translate business problems into analytical solutions using SQL, statistics, and modelling techniques
  
• Conduct deep-dive analysis, forecasting, and scenario modelling
  
• Deliver proactive, high-impact insights that influence strategic decisions
  
• Design, develop, and maintain scalable dashboards and reporting solutions
  
• Establish and enforce best practices for data visualisation and reporting
  
• Drive automation of reporting processes
  
• Ensure consistency, accuracy, and performance of reporting outputs
  
• Apply statistical methods and advanced analytics techniques to solve business problems
  
• Prepare datasets for data science and AI/ML initiatives
  
• Identify opportunities to embed predictive and prescriptive analytics
  
• Ensure data quality, integrity, and governance across systems
  

• Bachelor's degree in Statistics, Computer Science, Information Systems, Data Analytics or related field
  
• 5+ years of experience in data analytics, reporting, business intelligence, or related roles
  
• Advanced SQL and strong experience with BI tools (Power BI, Tableau, Qlik, SAP Analytics Cloud etc.)
  
• Proven experience working with large, complex datasets and delivering actionable insights
  
• Strong experience in dashboard development and reporting frameworks
  
• Solid understanding of data modelling, ETL processes, and data warehousing
  
• Strong stakeholder engagement and communication skills
  
• Familiarity with data engineering concepts (ETL pipelines, data lakes) and cloud platforms (like Azure, AWS, or GCP).
  

• Postgraduate qualification in Data Science, Business Analytics, or related field
  
• Experience with cloud platforms (Azure, AWS, GCP)
  
• Programming experience in Python or R
  
• Exposure to SAP environments (e.g., SAP BW/4HANA)
  
• Understanding of AI/ML concepts and their business application
  
• Industry experience (e.g., retail, healthcare, financial services)
  
• Advanced SQL and strong experience with BI tools
  
• Data modelling, ETL, and data warehousing knowledge
  
• Familiarity with cloud data platforms and modern data architectures