Data Analyst, Product Analytics

Region: Canada

Bundesland: British Columbia

Stadt: Vancouver

Geschäftsbereich: Store Support Centre (SSC)

Beschreibung & Anforderungen

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