• Implement analytic solutions to support delivery of strategic aims
• Collaborate with the stakeholders, analysts and execute requirements to benefit users
• Translate analytics data needs into functional specifications and architectural designs
• Maintain existing data solutions, and identify and act upon opportunities to improve the system process flow, performance, and technical efficiencies
• Design efficient enterprise-level solutions to share data across systems
• Take ownership and responsibility for the produced code
• Prepare documentation of features, user guides and facilitate training for users on internal systems.
Essential Skills:
• 8+ years of experience architecting, designing, and implementing end-to-end enterprise-level analytics solutions
• A detailed understanding of industry standards and norms across Data Modelling, Data Warehousing methodologies, ETL and Semantic Layer concepts
• A comprehensive experience in full stack of MS SQL BI (T-SQL, SSIS, SSAS), including Power Apps/Power BI
Desirable Skills:
• Experience working within the Fixed Income or Funds Management sector
• A good understanding of Big Data technical architectures
• Experience with Data Lakes and Analytics on AWS (S3, Spark on EMR), including Phyton
• Accustomed to agile scrum and modern CI/CD development practices
• Curiosity, innovation, keen sharer of knowledge, advocating for best-practices, and instilling team collaboration
• Familiarity with Data Virtualisation technologies, e.g. Dremio
