Business Data Analyst

6 days ago


Singapore Lendlease Corporation Full time

Business Data Analyst page is loaded## Business Data Analystlocations: Central Singapore, Singaporetime type: Full timeposted on: Posted Todaytime left to apply: End Date: November 8, 2025 (29 days left to apply)job requisition id: REQ- Lendlease is one of the world’s leading property and infrastructure groups. Our vision is to create the best places not just for our clients and communities, but especially for our employees.Delivering iconic and award-winning projects, we are setting standards in innovative and industry-leading project management, construction and design services locally and globally.Lendlease Singapore is currently searching for a highly skilled and motivated **Business Data Analyst** to join our team.In this role, you will be crucial in developing and implementing data-driven solutions within a retail mall business analytics environment. You will specialize in UI/UX for software applications, seamlessly integrating with various databases and datasets to fulfil customer business requirements.This role is pivotal in transforming customer business analytics requirements into intuitive, data-driven visualizations and actionable metrics.**Key Responsibilities*** **Business Requirements Analysis**: Work closely with retail mall management, tenants, and other stakeholders to understand their business needs and translate them into technical requirements for data analysis and visualization.* **Data Integration**: Integrate diverse datasets (e.g., footfall, sales, tenants and property performance, loyalty programs) into the SaaS platform using APIs, ETL pipelines, and database connectors to create a unified dataset for analysis.* **UI/UX Design & Development**: Design and build user interfaces and user experiences for our SaaS business analytics platform. Ensure dashboards and reports are intuitive, visually appealing, and easy for end-users to navigate.* **Dashboard & Report Generation**: Develop and maintain interactive dashboards, reports, and data visualizations that provide key insights into retail and finance performance, customer behavior, and operational efficiency.* **Data Modelling & Metrics**: Create and manage data models to support analytics, defining and tracking key performance indicators (KPIs) and metrics relevant to the retail industry. Ensure data integrity, consistency, and security across all analytics modules.* **Training & Support**: Provide training and ongoing support to users, helping them leverage the platform's full capabilities to make informed business decisions.**Required Skills & Qualifications*** Proven experience as a **Business Data Analyst**, with a strong focus on **UI/UX design and development**.* Proficiency in data visualization tools such as **BigQuery** or similar.* Strong understanding of relational databases (e.g., **SQL Server, PostgreSQL**), database management, querying languages and data integration techniques.* Experience with **SaaS** (Software as a Service) business models and **multi-tenant application environments**.* Strong understanding of **data modelling**, **ETL processes**, and data warehousing concepts.* Excellent analytical, problem-solving, and communication skills.* Experience working in the retail or commercial property management sector is a plus.* A bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field is preferred.Lendlease is a diverse, flexible and inclusive employer of choice. We engage, enable and empower our people. Inclusion sets us all up for success. If you feel this position is suited to your skills, experience and career aspirations, please apply on the link.Lendlease is committed to being a diverse and inclusive employer of choice by engaging, enabling and empowering our people. All qualified applicants will receive consideration for employment and we are happy to consider flexible working arrangements. Inclusion sets us all up for success and we particularly encourage applications from currently under-represented groups in our industry including those who self-identify as women, black, Asian, minority ethnic, lesbian, gay, bisexual, transgender and/ or disabled.()(blob: #J-18808-Ljbffr


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