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A leading real estate organisation seeks a Business Intelligence Analyst in Hong Kong to transform data into actionable insights, develop scalable BI solutions, and enhance strategic decision-making across the business. Key responsibilities: Design and deliver end-to-end BI solutions, managing data pipelines, ETL processes, and analytics platforms to provide scalable business insights Prepare, transform, and integrate data from multiple sources, ensuring data quality, accuracy, and accessibility for analytics and reporting Translate business requirements into BI solutions by defining KPIs, metrics, and reporting frameworks aligned with organisational goals Develop and optimise Power BI dashboards and reports to deliver actionable insights for strategic and operational decision-making Collaborate with stakeholders to gather requirements, drive BI adoption, and improve data literacy through training and documentation Enhance BI capabilities through automation, process improvements, and emerging analytics technologies to improve business performance Candidate profile: Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field; equivalent experience considered 3 years' experience delivering end-to-end Business Intelligence solutions, including ETL, data transformation, pipeline development, solution design, and dashboard creation Strong proficiency in Power BI, including DAX, Power Query, and dashboard/report publishing capabilities Solid knowledge of SQL Server and relational databases, with experience writing complex queries for data extraction and analysis Experience working with diverse datasets and cloud data platforms such as Azure Data Factory or AWS Glue, ensuring data quality and reliability Strong analytical, problem-solving, and communication skills, with the ability to collaborate with stakeholders and deliver actionable insights; Python or R experience is advantageous About this company: A leading real estate organisation with a strong presence in property development and management, delivering innovative solutions that shape communities and enhance business value. The company offers a collaborative and forward-thinking environment, providing employees with opportunities to grow, contribute to strategic initiatives, and drive meaningful impact. Keywords: Business Intelligence Analyst, Power BI, SQL, ETL, Data Analytics What's next: Transform data into insights that shape smarter decisions and drive business success. Apply now!
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.