Job details
Job type full-time
Full job description
About us
Mirror is the world’s first nearly invisible home gym featuring live and on-demand fitness classes in a variety of workout genres, and 1:1 personal trainingMirror is creating a new category of in-home fitness with cutting-edge hardware, responsive software, and best-in-class content that transforms any room into a complete home gymFor the first time, the essential components of a great studio workout-variety, personalization, and community-are brought to the most convenient place: the home.
We recently joined the lululemon family, operating as an independent entity, and now have the resources of a public, global company behind usWe’re an inclusive space for all identities and are committed to keeping that foundation intact as we growIf you`re eager to make an impact in a quickly growing business, we want to hear more from you!
The role & you
We’re looking for a motivated, data-driven, insightful senior data analyst to join our expanding data & analytics teamYou will work with your business partners to produce insights, conduct exploratory analyses, design and analyze experiments, and build data models and dashboardsAbove all, you will develop an understanding of mirror`s customers and how they engage with us across all of our platforms and products with the purpose of influencing key strategic decisions that will have a direct impact on our goals.
At mirror, you will:
Build relationships with multiple business stakeholders, manage expectations and align efforts to meet business needs by developing a strong communication process between teams
Communicate essential insights to stakeholders in a manner that productively influences decision making
Provide leadership to team members and peers by working with others; promoting ideas and viewpoints to senior management, peers and others; identify and initiate projects; manage resources; drive the resolution of issues; and hold self and team accountable for results
Assist with experimental design and the interpretation of the results
Evangelize data expertise, best practices, and documentation for all analytical data needs
Requirements
4+ years of professional experience
Expert-level knowledge of sql, including experience in data modeling, query performance, and query optimization
Experience working with business stakeholders to understand problems and engineers to understand data sources, and experience influencing strategy with data
Demonstrated ability to extract business insights from large datasets and use them to drive business change
Experience performing analysis with large datasets and building reports and dashboards using business intelligence tools
Experience building out a modern analytics data stack preferred
Familiarity with scripting languages (python or r) preferred
In-house experience at a fast-growing direct-to-consumer startup a plus
Benefits
Fully remote team
Competitive compensation
Competitive health coverage
401(k) plan
Self-directed paid time off
Opportunity for rapid growth
