Ralph Lauren Senior Business Analytics Analyst

BoF Careers; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Ralph Lauren Corporation in Hong Kong seeks a Senior Business Analytics Analyst to support BI and data analytics across Asia Pacific. You will connect business stakeholders with technology teams, deliver end-to-end analyses, and optimise data governance and reporting.

You will lead requirement workshops, document specifications, and manage testing, with mentoring for junior analysts. Based in Hong Kong Lai Chi Kok Office, use AI and automation to improve processes and outcomes.

Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Analytics, or a related discipline.
• 5+ years of experience in Business Analysis, BI, Data Analytics, Data Warehousing, or related delivery.
• Experience leading cross-functional BI or data initiatives and collaborating with stakeholders across business and tech teams.
• Strong understanding of BI, reporting, data warehousing, ETL, data governance, and data quality.
• Experience with Power BI, SQL, Databricks, Microsoft Fabric; Jira and Confluence preferred.

Responsibilities

• Lead end-to-end business analysis activities for BI and data analytics initiatives from requirements to post-launch support.
• Clarify needs and translate into functional data and solution requirements.
• Lead requirement workshops and document specifications, user stories, test scenarios, and acceptance criteria.
• Coordinate delivery with stakeholders, tech teams, vendors, and regional/global teams; track progress and risks.
• Support reporting, analytics, and KPI initiatives with data quality and governance.

Skills

BI capabilities

Data analytics

Stakeholder management

Problem solving

Leadership

Education

Bachelor's degree in Business Analytics/IS/CS/Data Analytics

Tools

Power BI

SQL

Databricks

Microsoft Fabric

Jira

Confluence

Job description

Company Description

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

The Senior Business Analytics Analyst will support the Business Intelligence Technology Team under Information Technology Department, reporting to Business Analyst Manager, this position will be based in Hong Kong Lai Chi Kok Office. The Senior Business Analytics Analyst will be responsible for providing business analysis and delivery support for Business Intelligence (BI) and data analytics in Asia Pacific. Connect business stakeholders with technology teams throughout solution delivery.

Essential Duties & Responsibilities

• Lead end-to-end business analysis activities for assigned BI and data analytics initiatives. Follow each initiative from requirement clarification through testing, implementation, and post-launch support.
• Work with business stakeholders and technology teams. Clarify business needs and translate them into clear functional, data, and solution requirements.
• Lead requirement workshops. Document functional specifications, user stories, process flows, source-to-target mappings, test scenarios, and acceptance criteria.
• Coordinate delivery with business stakeholders, technology teams, vendors, and regional/global teams. Track progress, issues, risks, and dependencies.
• Support reporting, analytics, and KPI initiatives. Ensure data quality, governance, and alignment with business objectives.
• Lead SIT and UAT activities. Manage defects, data validation, reconciliation, and production readiness.
• Maintain project documentation, backlogs, decision logs, risks, and dependencies using Jira, Confluence, or similar tools.
• Support BI and analytics solutions after launch. Identify opportunities to improve processes and business outcomes.
• Use AI, automation, and modern analytics tools to improve requirements analysis, documentation, testing, reporting, monitoring, knowledge sharing, and team productivity. Follow responsible AI practices.
• Mentor and support junior analysts by sharing business analysis methods, delivery practices, and stakeholder management experience.

Experience, Skills & Knowledge

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Analytics, or a related discipline.
• 5+ years of experience in Business Analysis, Business Intelligence, Data Analytics, Data Warehousing, or data and analytics solution delivery.
• Experience managing cross-functional BI or data initiatives and working with stakeholders across business and technology teams.
• Strong understanding of BI, reporting, data warehousing, ETL processes, data governance, and data quality.
• Experience with BI and data tools such as Power BI, SQL, Databricks, Microsoft Fabric, or other cloud data platforms. Experience with Jira and Confluence is preferred.
• Strong business acumen and analytical, problem-solving, facilitation, and communication skills. Able to translate complex business needs into practical technology solutions.
• Able to manage multiple priorities independently and drive assigned work from requirements through testing and delivery.
• Experience mentoring and supporting junior analysts and contributing to continuous improvement.
• Practical exposure to AI and automation, with a strong interest in using them to improve business analysis, reporting, documentation, testing, and operational efficiency.
• Self-motivated and collaborative. Able to work effectively in a fast-paced environment with minimal supervision.