Senior Data Analyst

October 22

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Logo of Zwift

Zwift

Gaming • Sports

Zwift is an online fitness platform that allows users to engage in cycling and running activities from the comfort of their homes. By utilizing interactive equipment and an immersive digital environment, Zwift seeks to enhance user experience and promote fitness through virtual cycling and running sessions. They also offer support for cycling and running, and sales of related equipment to optimize the Zwifting experience. Zwift hosts events such as the Zwift Academy and Zwift Racing, providing a social and competitive element to virtual fitness.

501 - 1000 employees

Founded 2014

🎮 Gaming

⚽ Sports

💰 $450M Series C on 2020-08

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• performance bonuses • equity • comprehensive and competitive benefits package • full range of medical, financial, and other perks and benefits

Apply Now

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