Key Responsibilities
Data Extraction & Analysis: Retrieve and analyze data from various sources to address specific research and business needs.
Reporting & Visualization: Design, develop, and maintain automated data reports and interactive Power BI dashboards to effectively communicate data findings to stakeholders.
Business Support: Respond promptly to ad-hoc data requests to facilitate data-driven business decisions.
Insight Generation: Lead data projects to translate complex datasets into clear, actionable insights that drive business growth.
Continuous Improvement (AI & Workflows): Stay abreast of the latest AI developments and data analytics trends to modify, optimize, and propose efficient data workflows.
Qualifications & Requirements
Education: Bachelor's or Master's degree in Business, Computer Science, Data Science, Statistics, or a related discipline.
Experience: Minimum of 2 years of hands-on experience in data analytics or a related field.
Core Technical Skills: Proven proficiency in Python, SQL, and Power BI (Essential).
Advantageous Skills: Familiarity with SQL Server, BigQuery, and ETL processes is highly preferred.
Soft Skills: Strong analytical mindset, high sensitivity to numbers, and excellent problem-solving skills.
Industry Knowledge: A strong interest in or previous exposure to the real estate market is a distinct advantage.
Interested parties please send your updated CV with your current and expected salary by Email to [email protected] or visit our company website at http://midland.com.hk.
We are an Equal Opportunity Employer. All personal data collected will be used for recruitment purposes only and kept strictly confidential.
Information Technology>Software / Web Developer
Information Technology>Systems / Technical Support
Information Technology>Technical / Functional Consulting
Information Technology>Others
HK$ -
Full Time
Overview
We are seeking a highly analytical and business-oriented Data Analyst to join our team. In this role, you will leverage advanced data analytics and AI developments to translate complex datasets into actionable business insights, directly supporting our strategies in the dynamic real estate market.