Business Intelligence Analyst

About Luxehouze

Luxehouze is Asia's leading online marketplace platform to buy and sell authentic luxury watches and bag from the likes of Richard Mille, Patek Philippe, Hermes and many more. Established in 2021, Luxehouze was created as a safe marketplace platform with two end customers in mind: both buyers and sellers. We ensure that all luxury goods being sold through our platform are 100% authentic and that our sellers are both credible and trustworthy through our rigorous verification and authentication processes that we have in place.

• Collect and analyze data from various sources such as databases, spreadsheets, and data warehouses.
• Develop and maintain databases, data systems, dashboards, and reports to aid in data analysis and decision-making.
• Create and present reports, visualizations, and dashboards to support strategic and operational decision-making.
• Develop and maintain performance measurement frameworks and scorecards.
• Identify trends, patterns, and insights from data to assist in identifying business opportunities and risks.
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
• Ensure data accuracy, completeness, and reliability through regular data quality assessments and cleansing activities.
• Identify and address data inconsistencies and anomalies.
• Conduct ad-hoc analysis and data mining to answer business questions and solve problems.

• Bachelor's degree in Business, Economics, Statistics, Computer Science, Information Technology, or a related field.
• A minimum of one year of professional experience in a Business Intelligence, Data Analyst, or a similar role. 
• Demonstrable skills in writing and optimizing complex SQL queries. 
• A strong ability to think critically, identifying problems, analyze complex data sets, and translate them into actionable business insights. 
• A solid understanding of fundamental business processes and the ability to apply this knowledge to data analysis. 
•  A natural curiosity and a desire to ask tough questions to uncover the "why" behind the data.
•  The ability to clearly and effectively communicate complex findings to both technical and non-technical audiences. 
•  A commitment to accuracy and a meticulous approach to data analysis and reporting