Analytics Engineer at Bird

, , United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modeling, Data Warehousing, ELT/ETL, MPP Databases, Spark, Kafka, Hive, Python, Java, Go, Git, CI/CD, Agile, Tableau, Looker

Industry

Software Development

Description

Bird launched micromobility. Now we’re shaping its future. 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 processes. As an Analytics Engineer, you will lead data pipeline, data modeling, architecture and data strategy-related efforts for the Data team at Bird working in close partnership with the engineering team. You’re a seasoned analytics professional and engineer who not only understands how to use big data in answering complex business questions but also how to design semantic layers to best support self-service reporting and discovery. You will manage projects from requirements gathering to planning to implementation of full-stack data solutions. You will work closely with cross-functional partners such as engineering, ops and finance to ensure that business logic is properly represented in the semantic layer and production environments, where it can be used by the wider Bird team to drive business strategy. Responsibilities Design and implement understandable data models that support flexible querying and data visualization Instrument algorithms and machine learning pipelines from complex business requirements Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing it Guide the Analytics Engineering roadmap, communicate timelines, and manage development cycles/sprints to deliver value Own the creation and support of internal data architecture and governance standards and best practices Lead the selection, implementation, optimization, and integration of data tools Rapidly deliver on concepts through prototypes that can be presented for feedback Train fellow employees on best practices for data standards, DAGs, code, documentation and visualization and help others act as successful stewards of our internal tools Must Haves Bachelor's degree in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution 2-3+ years of relevant experience in data engineering Expertise in writing SQL and in data-warehousing concepts such as star schemas, slowly changing dimensions, ELT/ETL, and MPP databases Experience with big-data technologies (e.g. Spark, Kafka, Hive) Experience in transforming flawed/changing data into consistent, trustworthy datasets, and in developing DAGs to batch-process millions of records Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats Proficiency with Git (or similar version control) and CI/CD best practices Experience in managing workflows using Agile practices Highly Desired MS or higher in a quantitative field (CS, Engineering, Math, Stats, Finance) from a top-tier institution. Proven ability to build complex reports and dashboards using tools like Tableau or Looker. Deep understanding of data warehouse architecture and data design principles. Ability to translate complex technical asks into clear documentation and compelling data stories for any audience. A self-starter who thrives in ambiguity and can manage projects independently from ideation to execution. A growth mindset focused on seizing opportunities to optimize products, business processes, and team knowledge. A dedicated team player who delivers timely, high-quality work and expects the same from their peers. Why Bird Matters Every time you hop on a Bird, you’re helping build a more livable city. We focus on four core pillars that reflect the impact of every ride: Freedom: We're the bridge that connects you to every experience—simple, convenient, and stress-free. We give you the freedom to move without limits. Exploration: We turn everyday trips into memorable experiences, sparking discovery and wonder as you connect with the world around you. Community: Taking a Bird is an act of citizenship. We create a sense of belonging and unity, knowing that the richer our communities become, the richer our lives become. Sustainability: Our electric vehicles reduce gas-powered car usage and lower carbon emissions. We enable responsible choices, creating tangible impact and driving progress toward a cleaner future. Culture at Bird We're an ambitious, smart, and open-minded team that is passionate about our mission. Each day is unlike the last, as we’re constantly moving forward, challenging each other, and working together to create the future of micro-mobility. Perks Up! We want you to succeed and thrive here, so we offer a few sweet perks: 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. Of course, Bird ride credits to get you where you need to be! Bird is the world Bird stands for a culture of inclusion. We celebrate different backgrounds, experiences, and perspectives —encouraging everyone to bring their authentic selves to work. We have a diverse environment that empowers our team to feel comfortable when they voice their opinions. For these reasons and more, Bird is a proud equal employment opportunity employer. We welcome everyone regardless of their race, color, religion, sex, national origin, age, disability, veteran status, or genetics, and we are dedicated to providing an inclusive, open, and diverse work environment. Sound like a place you’d like to work? Sweet. Let’s chat. #LI-remote

Responsibilities

The Analytics Engineer will lead data pipeline, modeling, architecture, and strategy efforts, working closely with the engineering team to design semantic layers supporting self-service reporting. Responsibilities include designing data models, instrumenting ML pipelines, advancing automation, guiding the roadmap, and establishing data governance standards.