Senior Data Analyst

Seniority Level: Associate

Location: Remote - eligible US locations

About the role and about You:

The Senior Data Analyst / Analytics Engineer is a key member of the Data Analytics team, reporting to the Director of Data and FP&A. A strong candidate will be comfortable partnering directly with stakeholders across the business, will enjoy working with autonomy, and will show a very high level of curiosity. Our Data Analytics team is expected to have a good understanding of the whole business, frequently flexing across multiple domains. Your initial core responsibilities will be focused on partnership with our eCommerce and Marketing teams.

What you'll do:

• Partner with a variety of stakeholders to track performance, share insights and ultimately influence strategic decision-making.
• Design measurement frameworks and perform in-depth analysis to evaluate the impact of new initiatives, campaigns, and strategic 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, acting as an intellectual sparring partner and reviewing each others' work.

What we're looking for:

• Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related discipline.
• 2+ years of experience in data analytics, data science or advanced analytical roles.
• Expert-level SQL and strong expertise in data modeling and analytics engineering best practices.
• Excellent knowledge of data visualization and analysis tools, such as Tableau, Amplitude and Databricks.
• 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.
• Must be organized, self-motivated, resourceful, curious and proactive.

Bonus points:

• Experience in technology, gaming, ecommerce, or subscription businesses are an advantage.
• Google Analytics, Google Tag Manager, SEO, and other upper funnel marketing tools.
• Advanced analytics methods, including familiarity with Python.

If Zwift determines in any stage of our interviews that any AI tools are being used without disclosure or citation, your candidacy will be disqualified.

For All US Based Full-Time Positions:

The base salary for this position ranges between $88,000.00 to $137,500.00. The base salary will be based on a number of factors including the role offered, the individual's job-related knowledge, skills, qualifications, and geographic location. In addition to base salary, Zwift is proud to offer a comprehensive and competitive benefits package for all eligible employees which also includes performance bonuses, equity, and a full range of medical, financial, and other perks and benefits.