Region: Canada
State: British Columbia
City: Vancouver
Business Unit: Store Support Centre (SSC)
Data Analyst, Product Analytics
Description & Requirements
lululemon athletica
At lululemon, we work together to elevate the world. We set audacious goals, nurture big growth and engineer innovative products that allow people to feel—and perform—their best. To us, leadership is more than a role or title—it’s a way of being. We are all leaders, committed to growth and results.
Together, we’re co-creating a future that otherwise wouldn’t exist. To do that, we’re looking for people who unite diverse perspectives to lean into bold visions. Who strive to be better than they were yesterday. Who are all in, in everything they do.
We’re looking for you. Join us.
A day in the life of the Data Analyst
The Data Analyst is an exceptional analytical thinker who is passionate about analyzing data and extracting insights to support decisions. This individual will work closely with data scientists and data engineers to build machine learning models and analytical tools to solve complex business problems, and communicating findings to business and technology partners. Working in teams of diverse skillsets and backgrounds, the Data Analyst works on projects tackling the most difficult problems facing our Product functions.
Core Accountabilities
- Perform descriptive analytics, data processing, with large datasets.
- Help build and maintain predictive and prescriptive data science models to support product and assortment strategy.
- Collaborate with business and technology partners to extract insights from the model results.
The Finer Print
- Master/Bachelor’s degree in a rigorous quantitative field such as mathematics, statistics, computer science, engineering, economics, physics, etc.
- 2-3 years of work experience in data analytics, preferably in the retail or apparel industries
- Exceptional analytical and problem-solving skills, including demonstrated creativity in problem solving
- Excellent interpersonal, written, and verbal communication skills
- Strong coding skills inPython, including experiences in popular libraries such as pandas, scikit-learn.
- Proficiency with data visualization packages such as Plotly, Matplotlib.
- Proficiency with using SQL and database basics
- Experiences in Machine Learning, Mathematical Optimizations, Statistics
- Experiences in working with AWS and collaborations tools such as Github
Our Must Haves
- Intellectual curiosity and ability to learn quickly
- Comfortable dealing with ambiguity
- Proven work ethic with utmost integrity
- Desire to excel and succeed
- Actively live and breathe the lululemon values
- Self-motivated, passionate, empathetic, and approachable
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 at accommodations@lululemon.com. In your email, please include the position title, the location of the position and the nature of your request.