Business Intelligence Analyst

ISS Facility Services, Singapore; Singapore; In loco; SGD 60.000 - 100.000; Tempo pieno

Descrizione del lavoro

ISS Facility Services, Singapore is seeking a dynamic Business Intelligence Analyst to transform data into actionable insights. You will build scalable data pipelines and semantic models using Microsoft Fabric and Power BI to support enterprise reporting and strategic decision-making.

You will integrate data from ERP, financial, operations, and HR systems, ensuring data quality and consistency while delivering dashboards and reports for multiple business functions.

Competenze

• Bachelor's degree in Computer Science, Data Science, Information Systems, Analytics.
• Must have the legal right to work in Singapore; visa sponsorship is not available.
• Proficiency in Microsoft Fabric, Power BI, SQL, and modern data integration technologies.
• Experience with Python, PySpark, or similar programming languages for data ingestion, transformation, automation, and analytics.
• Strong analytical and problem-solving skills with ability to identify trends, uncover insights, and resolve complex data issues.
• Experience designing and delivering dashboards, reports, data models, and visualizations that support business decision-making.
• Knowledge of data warehousing, ETL/ELT processes, data governance, data quality, and data management best practices.
• Ability to gather business requirements and translate them into scalable reporting, analytics, and data solutions.
• Strong communication and stakeholder management skills, with the ability to present technical findings to both technical and non-technical audiences.
• Experience working with enterprise functions such as Human Resources, Finance, Operations, Workforce Management, or Payroll is advantageous.

Mansioni

• Design, develop, and maintain scalable data pipelines, data models, and ETL/ELT processes using Microsoft Fabric.
• Integrate data from multiple enterprise systems ensuring data quality and reliability.
• Establish common data definitions, transformation logic, validation controls, and reconciliation processes for trusted reporting.
• Ensure data quality, accuracy, completeness, consistency, traceability across reporting solutions.
• Collaborate with IT teams and system owners to optimize data architecture, platform performance, integration patterns, and reporting platforms.
• Develop and maintain dashboards and reports using Power BI to support decision-making.
• Analyze data across financial, operational, customer, workforce, supplier, and asset domains to identify trends and drivers.
• Design high-performing semantic models with consistent definitions and logic across functions.
• Apply statistical and analytical techniques to solve business problems and support initiatives.
• Develop forecasting insights to support data-driven decision-making.

Conoscenze

Data-driven storytelling

Stakeholder collaboration

Analytical thinking

Communication

Problem solving

Formazione

Bachelor's degree in Computer Science, Data Science, Information Systems, Analytics

Strumenti

Microsoft Fabric

Power BI

SQL

Python

PySpark

Descrizione del lavoro

We are seeking a dynamic and motivated Business Intelligence Analyst to join our team. The successful candidate will bring strong capabilities in Microsoft Fabric, business intelligence, data engineering, analytics, and enterprise reporting. This role will transform data into reliable, actionable insights that support strategic and operational decision-making across the organisation.

The incumbent will support enterprise reporting, data integration, and analytics initiatives across multiple business functions. The role will integrate data from enterprise resource planning, financial, operational, workforce, customer, and other business systems to establish a consistent foundation for performance reporting and analytics.

Responsibilities

• Design, develop, and maintain scalable data pipelines, data models, and extract, transform, and load processes using Microsoft Fabric.
• Integrate and consolidate data from multiple enterprise systems, ensuring data quality, accuracy, and reliability.
• Establish common data definitions, transformation logic, validation controls, and reconciliation processes to support trusted enterprise reporting.
• Ensure data quality, accuracy, completeness, consistency, traceability, and reliability across reporting solutions.
• Collaborate with IT teams and system owners to optimise data architecture, platform performance, integration patterns, and reporting platforms.

Business Intelligence & Analytics

• Develop and maintain dashboards, reports, and visualizations using Power BI to support business reporting and decision-making.
• Analyse financial, operational, commercial, customer, workforce, supplier, and asset data to identify trends, patterns, risks, opportunities, and performance drivers.
• Design and maintain high-performing, scalable semantic models that apply consistent business definitions, calculations, measures, and reporting logic across functions.
• Apply statistical and analytical techniques to solve business problems and support strategic initiatives.
• Develop analytical models and forecasting insights to support data-driven decision-making.
• Monitor and evaluate key business metrics and performance indicators.
• Support reporting and analytics requirements across financial, operational, workforce, payroll, procurement, commercial, customer, asset management, and other enterprise systems.
• Develop an understanding of the data structures, processes, controls, and reporting requirements within each supported business function.
• Support the integration of enterprise systems with Microsoft Fabric, Power BI, and other reporting and analytics platforms.
• Leverage Query Manager and other reporting tools to support payroll and business reporting requirements.
• Partner with system owners and business stakeholders to improve data accessibility, reporting efficiency, control, and analytical capability.

Stakeholder Management & Collaboration

• Engage stakeholders to understand business needs, reporting requirements, and analytical objectives.
• Translate business requirements into scalable reporting and analytics solutions.
• Partner with Business Functions to identify opportunities for process improvement and data-driven decision-making.
• Challenge and clarify business definitions, calculations, assumptions, and reporting logic to promote consistency across functions.
• Present findings, insights, and recommendations effectively to technical and non-technical audiences.
• Provide user training and support to enhance adoption of reporting and analytics solutions.
• Keep current of emerging technologies, industry trends, and best practices in business intelligence, analytics, and data engineering.
• Support and contribute to initiatives that strengthen data governance, data quality, data security, and data management practices.
• Maintain comprehensive technical and functional documentation to support knowledge sharing, compliance, and audit requirements.
• Identify opportunities to standardise, automate, and simplify reporting and data processes across business functions.
• Support controls that improve the reliability, auditability, and appropriate use of enterprise data.

Qualifications

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Analytics, or a related discipline.
• Must have the legal right to work in Singapore. Visa or Employment Pass sponsorship is not available for this position.
• Proficiency in Microsoft Fabric, Power BI, SQL, and modern data integration technologies.
• Experience with Python, PySpark, or similar programming languages for data ingestion, transformation, automation, and analytics.
• Strong analytical and problem-solving skills with the ability to identify trends, uncover insights, and resolve complex data issues.
• Experience designing and delivering dashboards, reports, data models, and visualizations that support business decision-making.
• Knowledge of data warehousing, ETL/ELT processes, data governance, data quality, and data management best practices.
• Ability to gather business requirements and translate them into scalable reporting, analytics, and data solutions.
• Strong communication and stakeholder management skills, with the ability to present technical findings to both technical and non-technical audiences.
• Experience working with enterprise business functions such as Human Resources, Finance, Operations, Workforce Management, or Payroll is advantageous.