Lululemon Athletica

Senior Data Analyst

刊登於 15-09-2026
月薪 Monthly

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Business Unit: Store Support Centre (SSC)

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.

about this team

As a Senior Data Analyst you will be a leader in creating a data-driven culture, providing support and actionable insights to help shape the performance management of the business. You will bring the power of analytical insights, and help drive how we continue to evolve marketing campaign, sales channel and guest experience across our APAC portfolio.

core responsibilities

  • Develop and maintain APAC enterprise Power BI dashboards across sales, guest and product
  • Conduct statistical analysis and data deep-dives to help answer strategic question regarding business performance and provide commentary in our regular business performance review cycle
  • Support the quarterly and annual guest forecasting model to assist with business planning
  • Collaborate with global data teams to ensure alignment on data definitions and reporting accuracy
  • Deliver clear & concise regular reports and presentations for your manager, stakeholders and senior leaders
  • Interact with and support a variety of teams and individuals within the organization to make data-driven business decisions aimed at growth

qualifications

  • Bachelor’s degree in either Computer Science, Engineering, Statistics, Econometrics, Data Analytics
  • 3-5 years of experience directly related to delivering data analytics
  • 1-2 years of experience with Customer Data Platform and/or large data warehouse
  • Experience with developing PowerBI dashboard
  • Advance data manipulation skills with Excel, SQL, Python and ability to apply appropriate statistical models/algorithms for insight generation

must haves

  • Acknowledges the presence of choice in every moment and takes personal responsibility for their life.
  • Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
  • Communicates with honesty and kindness, and creates the space for others to do the same.
  • Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Fosters connection by putting people first and building trusting relationships.
  • Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously.

additional notes

Authorization to work in Hong Kong SAR is required for this role.

beyond the paycheck (benefits & perks)

At lululemon, we care for and invest in the whole person – body, mind, spirit. Our total rewards program is designed to support you in achieving your goals and focus on the things you love. In addition to competitive base pay and a team-based bonus program, we also offer paid time off, generous employee discounts, fitness/yoga classes, parenthood top up program and personal and professional development programs. Note: availability of these benefits and perks may be subject to your location & employment type and may have certain eligibility requirements. The Company reserves the right to alter these benefits and perks in whole or in part at any time without advance notice.

learn more about what it's like working for lululemon in our Asia-Pacific markets:

Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. Lululemon is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request. This Equal Employment Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. While management is primarily responsible for seeing that Lululemon equal employment opportunity policies are implemented, you share in the responsibility for assuring that, by your personal actions, the policies are effective.

lululemon is committed to providing reasonable accommodation to applicants with disabilities. If you would like someone from our team to contact you for individualized support, email us [protected-email-address] . In your email, please include the position title, the location of the position and the nature of your request.

The use of AI tools, including but not limited to ChatGPT, Microsoft Copilot, Gemini, DeepSeek, or any other AI-assisted software, is strictly prohibited during the interview process. This includes, AI-generated responses, content creation, or any form of automated assistance in live interviews, case studies, technical assessments, or written submissions.

At lululemon, we are committed to privacy, integrity, transparency, and ethical hiring practices. Our commitment to responsible AI ensures that proprietary information is protected and that all hiring decisions are based on an individual’s own skills, judgment, and expertise without AI assistance. Any use of AI during the interview process will result in immediate disqualification. lululemon reserves the right to use AI detection tools to verify the authenticity of candidate responses.

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僱用形式
2026-10-06
薪酬
月薪 Monthly
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