We are the fitness company born from gaming. And we’re on a mission to make more people, more active, more often.

The Lead Data Analyst is a key role within Zwift's multi-disciplinary Data team. The ideal person in this role will evangelize a data driven culture and deliver solutions and insights to Watopians every day.

This role will support and drive decisions for the Marketing Team at Zwift. The role is responsible for providing insights, measuring marketing initiatives and campaigns, and building innovative products to grow the business efficiently. It will drive the development of instrumentation, tools and processes that help us better understand why users come to Zwift, subscribe, engage with the product, and realize value from Zwift's offerings across the customer journey.

We are looking for a strong, analytically capable analyst who can not only identify and proactively advocate for changes that Zwift should make, but also align cross-functional partners around the delivery of those changes. This person will collaborate with senior partners mainly in Marketing but also in Product, Engineering, Sales, and Community Support, as well as partner with other Data functions (Data Engineering, Data Science, Data Governance) to deliver coordinated insights solutions.

Zwift is a fast-paced, high growth company where everyone has a chance to create a difference and point to the results of their work. If this sounds exciting to you, then please don't hesitate to apply.

What You’ll Do

• Promote data and insights-based decision making at Zwift by collaborating with marketing leaders and other teams including software and hardware product, engineering, community support, web, and ecommerce, to tackle their highest priority and most complicated problems
• Influence and partner with senior leaders and business owners to define success metrics, establish rollout and measurement plans, and provide analysis on the performance of new initiatives and campaigns and significant company objectives
• Drive progress by guiding teams to design, launch, monitor, analyze and report on A/B, multivariate and campaign incrementality tests
• Collaborate with the Data Engineering team to produce new well-governed datasets, tools and products that will enable team members and internal customers to use data with confidence
• Apply your experience, curiosity, and knowledge of industry standard methodologies to up-level data, analytics and insights capabilities at Zwift
• Prioritize the work of the team to balance delivery of proactive and practical insights with a timely turnaround on ad hoc requests that are aligned to key company initiatives
• Develop and maintain self-service dashboards used by analytics and the business that drive decisions
• Mentor, and coach junior analysts with a range of experience levels
• Lead Data Team initiatives and projects

What We’re Looking For

• Master's or advanced degree in a quantitative field
• Outstanding track record with 7+ years' experience in marketing analytics and marketing effectiveness for a consumer facing, digital first business - technology, gaming, ecommerce, or subscription businesses an advantage
• An analytics 'translator' with the ability to take an ambiguous problem, establish hypotheses, identify goals and metrics, and drive a team to deliver on those goals
• An authority in storytelling with data, with the skills to influence at all levels of the organization and across multiple business units
• Deep knowledge of experimentation including crafting, implementing, and analyzing tests to support new features and the optimization of existing capabilities for product and marketing applications
• Deep knowledge and experience building and using multi-touch attribution and marketing mix models
• Significant involvement using web and customer journey analytics to optimize web experiences and surface opportunities
• Expertise in querying databases using SQL and statistical analysis using R or Python
• Excellent knowledge of data visualization and analysis tools such as Tableau, Periscope/Sisense, Google Analytics, and Optimizely
• Comfortable working with data engineers and QA testers to craft, instrument and test new data models
• Must be organized, self-motivated, resourceful, curious and proactive

Bonus Points

• Experience collaborating with consumer insights and UX researchers
• Experience with online Affiliate programs
• Experience with Google and Social Media Advertising platforms
• Experience with DBT and Analytics Engineering best practices