About the position
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. The Marketing Analytics & BI team leads attribution approaches and measurement of the impact of marketing activities. We work closely with teams across the company to drive data driven optimization and campaign execution decisions to support overall lululemon goals. The environment is fast paced and agile to get things done quickly while putting guest experience first.
Responsibilities
- Set standards, create, and maintain enterprise marketing execution reporting to enable understanding and action on relevant performance trends to better support the guest experience.
- Manage a team of 2-5 analysts/data scientists.
- Define day-to-day work prioritization, process, technical requirements for NAM marketing attribution projects and ad-hoc analysis.
- Identify areas of focus for the marketing sciences team and set annual and quarterly team objectives.
- Effectively communicate performance results, attribution methodologies, timelines and expectations to stakeholders across marketing channel teams, finance and senior leadership.
- Follow consistent standards for tracking marketing spend, execution and performance across attribution methods, marketing channel teams and finance groups.
- Identify and lead adhoc analyses and randomized test vs. control on marketing channel performance across multiple outcomes to identify opportunities for improved marketing efficiency.
- Lead continuous improvement of existing marketing attribution tools and methods.
Requirements
- Masters (or equivalent experience) in a technical field such as statistics, engineering, or computer science.
- 6+ years (or equivalent education + experience) in a technical role (BI engineer, data science, data analytics, engineering).
- 1+ year(s) leading and managing a team.
- Experience with digital marketing execution and attribution methodologies.
- Experience with modern BI tool (Power BI / Tableau) and visualization best practices.
- Proficient in SQL programming.
- Experience with developing data models for scalable reporting.
- Proficient in programming in a statistical language (Python or R).
- Experience with modern software collaboration tools (Git).
- Understanding of database technologies and technical architecture.
Nice-to-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.
Benefits
- 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.
