Senior Analytics Engineer
Remote- Canada
Bird
Bird electric bikes and scooters are providing eco-friendly transportation for riders in hundreds of cities around the world. NYSE: BRDS.Who Is Bird
At Bird, we’re on a mission to make cities more livable by reducing traffic and carbon emissions with an affordable, convenient, and eco-friendly transportation option. We planted roots in Los Angeles, California. Now, our fleet of electric scooters is available to riders in cities around the world for short trips or the “last mile” of their journey. In our first year, Bird launched in over 100 cities and provided over 10 million rides. And we’re only just getting started.
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 a Staff 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
- 3-4+ 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
- Ability to write clear, concise documentation, and to communicate generally with a high degree of precision
- Ability to solve ambiguous problems independently
- Ability to manage multiple projects and time constraints simultaneously
Highly Desired:
- MS or greater in quantitative field of study (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.) from a top-tier institution
- Ability to build reports and dashboards with BI tools (such as Tableau or Looker)
Culture at Bird
We're an ambitious, smart, and open-minded group. Our employees are passionate about our mission, and eager to complete their work at the highest level. The office itself is up tempo and supportive, because we care about each other. People first, people.
Perks up
We want people to succeed at Bird, so we give our teams plenty of time off to relax and recharge. We also offer a generous employer-paid healthcare coverage, on-demand doctor visits, childcare support, a pre-tax commuter account for mass transit or parking, a wellness stipend, and more.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data CI/CD Computer Science Data strategy Data visualization ELT Engineering ETL Finance Git Java Kafka Looker Machine Learning Mathematics MPP Pipelines Python Spark SQL Statistics Tableau
Perks/benefits: Flex hours Flex vacation Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Engineer II jobs
- Open BI Analyst jobs
- Open Data Science Manager jobs
- Open Data Scientist II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Junior Data Scientist jobs
- Open Data Engineer III jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Marketing Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst II jobs
- Open Product Data Analyst jobs
- Open ETL Developer jobs
- Open Data Quality Analyst jobs
- Open Data quality-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Privacy-related jobs
- Open Data pipelines-related jobs
- Open ML models-related jobs
- Open PhD-related jobs
- Open Business Intelligence-related jobs
- Open APIs-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Deep Learning-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Git-related jobs