Senior Business Intelligence Engineer Full Time NEW

Company Description

quTIP is dedicated to enhancing the effectiveness, efficiency, and profitability of its clients through advanced business solutions and state-of-the-art technology. Offering both consulting services and tailored mobile business solutions, quTIP focuses on meeting the unique needs of its clients in a dynamic business environment. By delivering exceptional service, quTIP empowers its clients to gain a competitive advantage. Backed by a team of skilled technical and business professionals, quTIP ensures ongoing, comprehensive support to drive success.

Role Description

• Design, build and support Data Warehouses and Reporting solutions
• Work closely with business stakeholders to gather requirements for reports and dashboards
• Develop automated anomaly detection, trend forecasting, and scenario modelling solutions using ML algorithms embedded within the BI reporting layer
• Use AI/ML to automate and optimize ETL workflows, data quality validation, and data classification at scale
• Evaluate and adopt Microsoft Fabric, Azure Synapse Analytics, and AI-driven data platform capabilities to modernize the data estate
• Champion AI literacy within the BI team and act as a subject matter expert for AI-enhanced analytics adoption across business units

Qualifications

• B.Sc. / M.Sc. in Computer Science/Engineering
• 3+ years of related experience
• Experience in full life cycle of Business Intelligence Solutions implementations
• Solid Experience with Microsoft SQL Server Business Intelligence Stack (Analysis / Reporting / Integration Services)
• Experience with Azure is preferred.
• Experience in gathering reporting requirements and documenting the reports specifications
• Knowledge of ETL Tools for creating Source/ Target definitions and building Mappings
• Experience in building data warehouses and OLAP cubes
• Experience in defining facts, Key Performance Indicators (KPIs), measures, dimensions and hierarchies
• Experience in designing customized interactive dashboards using drill down, guided navigation, prompts, filters, and variables using a familiar tool such as Microsoft Power BI or Tableau or QlikView
• Hands-on experience with Azure Machine Learning, Azure AI services, or equivalent ML platforms for integrating predictive models into BI solutions