Senior Business Intelligence Developer

Description

Own the BI and analytics stack for the Strategy function. Build and run Power BI and Microsoft Fabric solutions on OneLake, using data from Oracle NetSuite, Salesforce and other core systems. Design semantic models, automate data and reporting flows, and use AI tools to remove manual work and support management decisions.

• Support ad hoc analysis using Power BI, Excel and basic SQL.
• Deliver executive ready views for Strategy, Finance, Commercial, HR and other functions.
• Use AI tools and APIs (OpenAI, Claude, Grok etc.) to support analysis, reporting and internal tools.
• Build and maintain Power BI datasets, reports and dashboards.
• Integrate and model data from Oracle NetSuite, Salesforce (standard and custom objects) and other sources.
• Optimize refresh, performance and governance of BI content.
• Maintain documentation for models, pipelines and logic, and apply common standards, naming and access rules.
• Set up automated refresh, alerts and workflows across systems.
• Build data flows and pipelines using Fabric, Power BI and Power Automate.
• Design and manage semantic models (facts, dimensions, DAX, row level security).
• Configure and manage Microsoft Fabric and OneLake for analytics and storage.
• Translate business requirements into clear BI solutions.

Requirements

• 5+ years in BI, data modelling or analytics with strong Power BI experience.
• Hands on Microsoft Fabric and OneLake experience (setup, configuration, usage).
• 2–3 years in real estate or property development with clear business understanding.
• Bachelor’s degree in computer science, Information Systems, Engineering, Business Analytics or similar.
• Power Automate and Microsoft Forms (or equivalent Microsoft data capture tools) experience.
• Intermediate Python skills for data and automation.
• Advanced Excel: pivots, XLOOKUP, math and logic formulas; basic macros/VBA is a plus.
• Experience working with Oracle NetSuite and Salesforce data (objects, joins, incremental loading).
• Use Python at intermediate level for data preparation and automation scripts.
• Basic SQL for querying and data checks.
• Practical use of AI tools and APIs (OpenAI, Claude, or similar).

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance