Lead Data Analytics Engineer, Zwift

• We are looking for someone with strong curiosity and sense of ownership, who is excited to operate cross-functionally to support better data analysis and governance. If this sounds exciting to you, then please don't hesitate to apply
• Master's or advanced degree in a quantitative field
• Outstanding track record with 5+ years' experience in a consumer facing, digital first business. Technology, gaming, ecommerce, or subscription businesses an advantage
• Strategic thinker with a hands-on approach, able to manage competing priorities, deliver on key initiatives, and drive measurable results within a fast-paced, high-growth environment
• Expertise in querying databases using SQL and building new gold-level datasets
• Excellent knowledge of data visualization and analysis tools, such as Tableau, Amplitude and Databricks
• Comfortable working with data and software engineers to craft, instrument and test new data models
• Must be organized, self-motivated, resourceful, curious and proactive

Desirable

• The Lead Data Analyst is a key role within Zwift's Data team, responsible for leading projects and acting as the main data business partner to multiple teams
• The ideal person in this role will evangelize a data driven culture and deliver solutions and insights to Watopians every day
• Partner closely with senior leadership to influence strategic decision-making. Support the definition of key success metrics, spearhead the design of rollout and measurement plans, and oversee in-depth performance analysis of new initiatives, campaigns, and critical company objectives
• Produce high quality data models, dashboards and ad hoc reports to support business performance analysis and decision-making
• Collaborate with the Data Engineering team and Software Engineers to produce new well-governed datasets, tools and products that will enable team members and internal customers to use data with confidence
• Support teams to design, launch, monitor, analyze and report on A/B, multivariate and campaign incrementality tests
• Prioritize your workload and support team members to balance delivery of proactive and practical insights with a timely turnaround on ad hoc requests that are aligned to key company initiatives
• Collaborate with data analytics peers with a range of experience levels

• Your resume/CV is enough to show off your skills, accomplishments, and experience. However, if you choose to include a cover letter introducing us to your awesome personality, we will read that too