Data Analyst

at  Lululemon

Vancouver, BC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Dec, 2024USD 105800 Annual27 Sep, 20241 year(s) or aboveData Visualization,Data Mining,Mathematics,Computer Science,Business Analysis,Data Analytics,Analytical Skills,Sql,Relational Databases,R,Statistics,PythonNoNo
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Description:

who we are
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
Our focus is on building guest loyalty through driving retention, frequency, and brand love with various guest segments. The team is always identifying opportunities for enhancing our guest loyalty programs and differentiate our offerings. Our constant aim is to inspire even deeper guest understanding through the triangulation of data analytics, insights, consumer trends and mindsets and collaborating with teams to create alignment on a common strategy. The environment is fast paced and agile to get things done quickly while putting guest experience first.

a day in the life: what you’ll do

  • Deliver clear, concise, timely reports and presentations for your manager, stakeholders, and senior leaders
  • Execute solutions & dashboards to business problems using data analysis, data mining, optimizing tools and statistical modeling
  • Continuously develop and demonstrate improved analytics methodologies
  • Responsible for deep guest insights, using your analytic toolkit to drive business results through data
  • Support day-to-day requests for data analysis such as decision support, KPI’s and provide quality assurance on master data use
  • Conduct in-depth analytics for strategic initiatives as directed by the management

qualifications

  • Bachelor’s Degree in related field - Computer Science, Engineering, Statistics, Mathematics, Data Analytics
  • 1-2 years of work experience in business analysis or insight delivery
  • Minimum 1 year of experience in data mining working with large relational databases, advanced data extraction/manipulation tools
  • Proficiency in SQL with minimum 1 year practical experience
  • Strong analytical skills and are comfortable owning data and working from concept through execution
  • Experience preferred in marketing, loyalty, retail analytics
  • Familiar with Python, data visualization using PowerBI, and/or statistical models/algorithms using R or Python and associated packages

must haves

  • Acknowledge the presence of choice in every moment and take personal responsibility for your life.
  • Possess an entrepreneurial spirit and continuously innovate to achieve great results.
  • Communicate with honesty and kindness and create the space for others to do the same.
  • Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Foster connection by putting people first and building trusting relationships.
  • Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.

Compensation and Benefits Package
lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $105,800-$138,800 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program subject to program eligibility requirements.

At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:

  • Extended health and dental benefits, and mental health plans
  • Paid time off
  • Savings and retirement plan matching
  • Generous employee discount
  • Fitness & yoga classes
  • Parenthood top-up
  • Extensive catalog of development course offerings
  • People networks, mentorship programs, and leadership series (to name a few)

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
workplace arrangement
This role is classified as Hybrid under our SSC Workplace Policy:
Hybrid
In-person collaboration is important, and much of the role can be performed remotely. Work is performed onsite at least 3 days per week

Responsibilities:

  • Deliver clear, concise, timely reports and presentations for your manager, stakeholders, and senior leaders
  • Execute solutions & dashboards to business problems using data analysis, data mining, optimizing tools and statistical modeling
  • Continuously develop and demonstrate improved analytics methodologies
  • Responsible for deep guest insights, using your analytic toolkit to drive business results through data
  • Support day-to-day requests for data analysis such as decision support, KPI’s and provide quality assurance on master data use
  • Conduct in-depth analytics for strategic initiatives as directed by the managemen


REQUIREMENT SUMMARY

Min:1.0Max:2.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Computer Science, Engineering, Mathematics, Statistics

Proficient

1

Vancouver, BC, Canada