Data Analyst, Bird

• Bachelor's degree in a quantitative field, economics, or finance from a competitive school
• Highly Proficient in SQL
• Fluency in either R or Python strongly desired: candidates should be able to acquire, manipulate, transform, and visualize data using these languages
• 3+ years of experience using data to facilitate business or product decisions
• Responsible and reliable to the people you work with - this is a team effort!
• Project management savvy: you expect best from your peers to get joint projects done well
• Responsiveness: you deliver timely, digestible answers to complex asks

Desirable

• The Data Team at Bird is an integral component of every facet of the business from strategic initiatives to tactical effectiveness, and is a key resource in developing Bird's product and procedures
• As a Data Analyst you will support the product team in their pursuit to make the cities we operate in more liveable, sustainable, and efficient
• You will be embedded with a product team and be assigned a stakeholder who you will proactively work with to develop a roadmap of data priorities and execute against those priorities as we develop data-driven products, features, and strategies to support the growth of the business
• Leverage your experience and skills to understand and share how our users (riders, operators, etc) interact with and use our core business products
• Partner with Product to help define and analyze metrics that inform the success of products and to monitor product adoption & health across our vehicle and marketplace ecosystems
• Partner with Engineering and Data Science to develop and implement experiments to test hypothesis for which changes will drive product adoption and growth
• Partner with Engineering to develop, implement, and test experiments meant to drive product adoption or usage
• Design the data strategy, select applicable statistical methods and synthesize results from complex A/B multivariate tests
• Communicate via compelling, easy-to-use dashboards or analysis the state of our business and products, operational performance, experiment results, and potential opportunities for growth
• Influence and inform product teams through write-ups, meeting and presentations of data-based recommendations
• Write ETLs to make product data consumable for our internal data and product customers
• Conduct hands-on modeling/analytics retrieving, compiling, and analyzing large volumes of data from disparate databases into distilled, actionable information and insights
• Champion the analytics process – from measurement strategies, data preparation, modeling, cleansing and evaluation
• Lead by example and help educate business stakeholders with varying technical or non-technical backgrounds