Data Analyst

Bird

2h•Remote

About The Position

We’re Bird, and we’re on a mission to transform the way the world moves one ride at a time. Our products, services, and people share one common goal: to make cities more livable by empowering people and communities everywhere to move freely, discover new possibilities, and create a cleaner, more connected future. To cleaner air. To calmer streets. To cities built for people. Who We Are Bird is a global leader in micromobility, dedicated to shaping the future of urban movement. Our cleaner, affordable, and on-demand mobility solutions are available in over 200 cities worldwide. We take a collaborative, community-first approach to micromobility. Bird partners closely with the cities in which it operates, leveraging our experience and safety-first technology to help them meet their shared mobility and climate goals and provide a reliable, affordable, and responsible transportation option for people who live and work there. Our award-winning electric vehicles have empowered more than eighty-seven million rides in cities around the world and helped riders take carbon-free trips in more than 200 cities globally. And our teams are constantly pushing boundaries and challenging the status quo in pursuit of a brighter future. Job Summary 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.

Requirements

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

Nice To Haves

Graduate degree in a quantitative field, economics, or finance from a competitive school
Experience designing and analyzing randomized control trials
Ability to develop and manage an experimentation roadmap in collaboration with Product and Operations team
Understanding of data warehouse architecture and data design
Responsible and reliable to the people you work with - this is a team effort!
Growth mindset: you seek out learning opportunities for yourself and the team
Effective communication skills: you can build the story and then tell it just as well
Project management savvy: you expect best from your peers to get joint projects done well
Seize opportunities and willing to go beyond the task at hand
Responsiveness: you deliver timely, digestible answers to complex asks
Constantly think of ways to improve our products and the business

Responsibilities

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

Benefits

Plenty of time off to relax and recharge, plus a wellness resource to help you wind down.
A work-from-home stipend.
An employer-paid healthcare package.
Bird ride credits to get you where you need to be!

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