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lululemon
is hiring
Data Analyst
About Our Company
lululemon athletica inc. (NASDAQ:LULU) is a healthy lifestyle inspired athletic apparel company for yoga, running, training, and most other sweaty pursuits, creating transformational products and experiences which enable people to live a life they love.
Setting the bar in technical fabrics and functional designs, lululemon works with yogis and athletes in local communities for continuous research and product feedback.
Job Description & Responsibilities
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
Requirements
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.
What we offer
In-person collaboration is important, and much of the role can be performed remotely. Work is performed onsite at least 3 days per week.
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 $ $117,500-$154,200 usd 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.
