Application Guide

How to Apply for Analytics Engineer

at Bird

🏢 About Bird

Bird is revolutionizing urban transportation with eco-friendly, dockless electric scooters, focusing on sustainability and reducing carbon emissions. The company stands out for its mission-driven approach to solving last-mile transportation challenges while promoting environmental responsibility. Working at Bird offers the opportunity to contribute to urban mobility innovation in a fast-paced, remote-first environment.

About This Role

As an Analytics Engineer at Bird, you'll design data models and pipelines that enable flexible querying and visualization for business insights, directly supporting data-driven decisions in urban mobility. You'll instrument machine learning pipelines from complex requirements and advance automation to reduce manual data manipulation, allowing more focus on analysis. This role is impactful because your work will optimize scooter operations, rider experience, and sustainability metrics across global markets.

💡 A Day in the Life

A typical day involves collaborating with data analysts and business teams to understand requirements, then designing or optimizing data models in SQL for scooter performance and rider behavior analytics. You might spend time instrumenting Spark pipelines for machine learning features, automating data validation checks, and participating in sprint planning to advance Bird's analytics engineering roadmap.

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🎯 Who Bird Is Looking For

  • Holds a Bachelor's degree from a top-tier institution in Computer Science, Engineering, or Mathematics with 2-3+ years of hands-on data engineering experience
  • Demonstrates expertise in SQL, star schemas, slowly changing dimensions, and ELT/ETL processes, preferably with MPP databases like Redshift or Snowflake
  • Has practical experience with big-data technologies such as Spark, Kafka, or Hive for processing large-scale scooter telemetry and rider data
  • Shows ability to translate complex business requirements into scalable data solutions that support Bird's operational and analytical needs

📝 Tips for Applying to Bird

1

Highlight specific experience with geospatial or time-series data relevant to scooter tracking, rider patterns, or fleet management

2

Showcase projects where you automated data validation or ETL processes that freed up analyst time, aligning with Bird's goal of reducing manual work

3

Mention any experience with sustainability metrics or environmental data, as Bird emphasizes eco-friendly transportation

4

Tailor your resume to emphasize MPP databases and big-data tech (Spark/Kafka/Hive) explicitly mentioned in the requirements

5

Include quantifiable achievements related to data model design or pipeline optimization that improved query performance or data accessibility

✉️ What to Emphasize in Your Cover Letter

["Explain how your data engineering experience aligns with Bird's mission of eco-friendly urban transportation and solving last-mile mobility challenges", 'Detail a specific project where you designed data models or pipelines that enabled better business insights or automation', "Describe your approach to managing development cycles or sprints in analytics engineering, referencing Bird's roadmap guidance expectation", 'Connect your skills in SQL, data warehousing, and big-data technologies to potential applications in scooter telemetry or rider analytics']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Bird's sustainability initiatives and how data might support their carbon reduction goals
  • → The company's market presence and operational challenges in different urban environments
  • → Bird's technology stack mentions or case studies related to data and analytics
  • → Recent news about Bird's business model, partnerships, or regulatory challenges in the micromobility space

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a data model to track scooter utilization, battery life, and rider trips across different cities?
2 Describe your experience instrumenting machine learning pipelines from business requirements, with an example relevant to transportation or logistics
3 How do you approach automating data validation and ETL processes to reduce manual work for analysts?
4 Explain your experience with MPP databases and big-data technologies like Spark or Kafka in handling high-volume data streams
5 How would you prioritize and communicate timelines for an analytics engineering roadmap at a fast-growing company like Bird?
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⚠️ Common Mistakes to Avoid

  • Submitting a generic application without mentioning Bird's focus on eco-friendly transportation or urban mobility
  • Failing to provide specific examples of SQL expertise, data modeling, or experience with the required big-data technologies
  • Overlooking the importance of automation and reducing manual data work, which is explicitly highlighted in the job description

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Bird!

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