Job Description
37 days ago
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands.
At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
Position Overview
Provision of technology solutions and support for BI and Merchandise Applications in Asia Pacific.
Essential Duties & Responsibilities
• Provide solutions and support to data warehouse, BI and merchandise applications
• Participate in development and integration testing in ETL process and reporting
• Gather requirements, and perform analysis both BI and Merchandise applications
• Transform analysis into requirement/functional documents, mappings and test cases
• Assist with coordination of reporting and BI and application problems and issue resolutions
• Maintain, validate, and implement BI and merchandise applications platforms
• Provide support, training, and work with vendors and counterparts in various departments to resolve technical issues
• Document processes and improve where necessary
Experience, Skills & Knowledge
• Degree holder in Computer Science or related disciplines
• At least 3 years of relevant experience in data warehousing, ETL processes, and advanced analytics
• Hands-on experience in SQL, database/data processing concepts, stored procedures, dashboard development and business intelligence reporting tools such as Informatica, Azure Data Factory (ADF), SSIS, IBM DataStage, MicroStrategy, Power BI, Tableau, Qlikview, SSRS, etc
• Experience in advanced analytics, data science, and predictive/prescriptive modeling such as forecasting, machine learning, and artificial intelligence
• Must be a good team player, proactive, self-motivated, and able to multi-task
• Effective communication skills in English and Cantonese
• Experience in supporting applications in retail and merchandising will be an advantage
At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
Position Overview
Provision of technology solutions and support for BI and Merchandise Applications in Asia Pacific.
Essential Duties & Responsibilities
• Provide solutions and support to data warehouse, BI and merchandise applications
• Participate in development and integration testing in ETL process and reporting
• Gather requirements, and perform analysis both BI and Merchandise applications
• Transform analysis into requirement/functional documents, mappings and test cases
• Assist with coordination of reporting and BI and application problems and issue resolutions
• Maintain, validate, and implement BI and merchandise applications platforms
• Provide support, training, and work with vendors and counterparts in various departments to resolve technical issues
• Document processes and improve where necessary
Experience, Skills & Knowledge
• Degree holder in Computer Science or related disciplines
• At least 3 years of relevant experience in data warehousing, ETL processes, and advanced analytics
• Hands-on experience in SQL, database/data processing concepts, stored procedures, dashboard development and business intelligence reporting tools such as Informatica, Azure Data Factory (ADF), SSIS, IBM DataStage, MicroStrategy, Power BI, Tableau, Qlikview, SSRS, etc
• Experience in advanced analytics, data science, and predictive/prescriptive modeling such as forecasting, machine learning, and artificial intelligence
• Must be a good team player, proactive, self-motivated, and able to multi-task
• Effective communication skills in English and Cantonese
• Experience in supporting applications in retail and merchandising will be an advantage
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