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Lead Systems Anayst Jobs

Company

lululemon

Address Vancouver, British Columbia, Canada
Employment type FULL_TIME
Salary
Category Retail
Expires 2023-05-10
Posted at 1 year ago
Job Description
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
This role is in the Global Product Technology team in the lululemon technology organization. The team is responsible for system reliability engineering, incident management and operations to ensure the right product is available at the right location and at right time.
a Day In The Life
The ideal candidate will have a history of demonstrated results leading mid-size to large cross-functional Data Analytics and Artificial Intelligence/Machine Learning teams to deliver business values and thought leadership across matrixed organizations. They must thrive in fast-paced environments, be able to manage through ambiguity and complexity, create and simplify processes, and simultaneously support multiple projects impacting a growing global organization. This role requires excellent communication and organizational skills and the ability to work closely with internal technical teams as well as different facets of the lululemon enterprise.
  • Analyze technology systems and related processes to identify and design improvements.
  • Engages in design and impact assessments with tech leadership team and architects.
  • Lead technical/business systems analysts to define minimum feature set, acceptance criteria, user acceptance tests.
  • Understand business needs around planning, demand forecasting, and inventory optimization and translate to functional and technical requirements.
  • Coordinate with engineering team to develop the most cost-effective solution on complex, high-impact efforts with visualizations for given metrics or nature of data.
  • Drive roadmap and planning sessions with key decision makers and stakeholders from across the organization to deliver defined scope of work and support through productionization.
  • Understand end-user interfaces and actions, and how a forecast supports those actions.
Qualifications
  • Strong communication skills: both verbal and written.
  • Strong skills in Agile and facilitating experience of scrum events within team and program.
  • Preferred Scrum certification: SAFe (Scaled Agile Framework) is nice to have.
  • 3+ years of retail industry experience with Demand Forecasting, Planning and Allocation systems.
  • 5+ years of agile and scrum team experience.
  • Knowledge of SQL scripts for analysis and reporting on Data warehouse. i.e., Snowflake
  • Strong cloud technology background: AWS preferred.
  • Proficient at requirement gathering, managing ambiguity, and driving a project from inception to delivery.
  • Strong analytical and problem-solving skills
  • 5+ years in technology with recent experience in Artificial Intelligence and Machine Learning
  • Experience in agile/enterprise tools such as Jira, Confluence, ServiceNow, Zoom, MS Teams.
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.
  • Foster connection by putting people first and building trusting relationships.
  • Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Communicate with honesty and kindness and create the space for others to do the same.
  • Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.