Senior Data Analyst - Guest Support Insights & Analytics

lululemon; Vancouver; Hybrid; CAD 105,000 - 139,000; Full time

Job summary

A leading performance apparel company in Vancouver seeks an experienced analyst to enhance data-driven decision-making within their Guest Education Center. The role involves analyzing guest support performance, building ML models, and collaborating with product teams to optimize processes. Ideal candidates have at least 5 years in analytics, strong skills in SQL and Python, and experience with data modeling principles. The position offers a competitive salary range of $105,800 to $138,800, along with a comprehensive benefits package and a hybrid workplace arrangement.

Benefits

Extended health and dental benefits

Paid time off

Savings and retirement plan matching

Generous employee discount

Fitness & yoga classes

Parenthood top-up

Extensive catalog of development course offerings

Qualifications

• 5+ years experience in an analytics focused role.
• Strong proficiency with SQL and Python required.
• Experience with financial reporting an asset.

Responsibilities

• Analyze & provide actionable insights on Guest Support performance.
• Creation and maintenance of ML models in data lake.
• Support product teams with analytics and A/B testing.

Skills

SQL

Python

MS Excel

Power BI

Data modeling

Salesforce CRM

Tools

Snowflake

Databricks

Job description

Description & Requirements

Description & Requirements

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

GEC Data analytics team supports all aspects of the Guest Education Center (our customer support center) through data and advanced analysis. We connect data across the guest journey - from stores and site, to after purchase - to understand what guests need and how to make their interaction with lululemon great. We are analytical, curious and always looking to connect data to guest experiences.

core responsibilities

• Analyze & provide actionable insights on Guest Support performance for product teams and senior leaders.
• Creation and maintenance of ML models in our data lake (revenue, appeasement, interactions, etc.)
• Support our product teams with analytics, A/B testing and quantifying business impact, including financial implications.
• Creates presentations, business commentary, and dashboards for GEC Operations & Technology partners
• Performs financial modeling/simulations, sensitivity analysis, hypothesis creation and testing
• Provides analytical support and tracking for financial forecasts for strategic initiatives within Guest Support
• Consults on data warehouse integrations and collaborate with technical reporting cross functional partners
• Share trends, identify gaps, and make recommendations with our product and operational teams to determine how to optimize revenue and drive automation.
• Collaborate with cross functional partners on large scale, high impact intake requests to identify reporting solutions and providing insights from GEC operational data
• Build and analyze reports and dashboards to identify trends and results in employee information (LOAs, attrition, training effectiveness, etc).

qualifications

• 5+ years experience in analytics focused role
• Strong Proficiency with SQL and Python Required
• Power user of MS Excel & Power BI
• Experience with Snowflake and Databricks an asset
• Experience with financial reporting an asset
• Strong knowledge of Salesforce CRM and datacloud
• Experience with data modeling principles and best practices
• Proven ability to form clear business requirements for ambiguous business questions
• Skilled at turning complex analysis into simple conclusions and recommendations for executive leadership

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.

additional notes

Authorization to work in Canada is required for this role.

compensation and benefits package

lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. 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.

• 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

Hybrid
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

#LI-Onsite #LI-SS1