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We are looking for an experienced Analytics Engineering Manager to join our Product Rides team to manage a team of analytics engineers who empower the organisation with scalable, reusable, high-quality data products and solutions to improve the experience of many millions of riders and drivers across the globe.

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<title>About us</title>

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With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

 

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.

 

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

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<title>About the role</title>

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As an Analytics Engineering Manager in the Rides Product team you will be much more than a data expert, you will actively contribute to shaping the future of mobility. You will empower the organisation with scalable, reusable, high-quality data products and solutions that drive impact across Product and beyond. 

The Rides domain is uniquely challenging because it spans across many parts of the company, from product and operations to finance. Your mission is to move beyond "hacking together" local trackers and instead build a unified, global "single source of truth" that empowers hundreds of data users across teams to make data-driven decisions. 

You will lead a dedicated team of Analytics Engineers, serving as a technical mentor and manager. You will be a strategic partner to the Rides Product domain, ensuring that our core data assets are scalable, high-quality, and deeply understood by the entire organisation.

This isn't just a maintenance role; it’s an opportunity to build a world-class analytics layer from the ground up. You will be a key partner to our Analytics Engineering organisation, helping to shape the vision for our offering. We are looking for a leader who is passionate about the "Analytics Engineering mindset", treating data as a product, turning raw data into a competitive advantage for Bolt. 

You will have the autonomy to establish new ways of working, bridge the gap between data producers and consumers, and advocate for technical excellence. Your team’s goal is to provide a robust foundation for data users to focus on insights and data driven decisions, to reduce the maintenance burden on analysts and improve time from idea to insight. Your success will be measured across five key pillars: self-service, speed, selection, cost, and quality.

If you are excited by the prospect of managing a growing team in a fast-paced, global environment where your work directly impacts millions of riders and drivers every day, this is the place for you.

 

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<title>Main tasks and responsibilities:</title>

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• <point>Lead and mentor a high-performing team: build and manage a team of Analytics Engineers, providing technical mentorship, driving career growth, and fostering a culture of ownership.</point>
• <point>Strategic planning and impact: translate complex business requirements into a clear technical roadmap, balancing short-term delivery with long-term architectural health.</point>
• <point>Empower self-service and AI analytics: own the end-to-end delivery of high-quality data products that empower stakeholders to make data-driven decisions independently.</point>
• <point>Architect scalable data foundations: partner with the Analytics Engineering and Data Platform team to make key architectural decisions about the company data model, processes and tech stack, ensuring a performant, reusable, and scalable analytics layer that serves as the "single source of truth."</point>
• <point>Bridge the gap between producers and consumers: act as a strategic partner to both Engineering (Data Producers) and Business/Analytics (Data Consumers) to ensure data models reflect evolving business needs.</point>

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<title>About you:</title>

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• <point>You have experience managing a data team, either in the analytics or data engineering function or, ideally, combining the two.</point>
• <point>You have significant experience with data modeling, developing analytics architectures for large volumes of data and can demonstrate tangible impact in the area.</point>
• <point>You have deep technical understanding and leadership experience with our core data technologies (SQL, Python, dbt, Apache Airflow, etc.).</point>
• <point>You are a strategic partner in setting and enforcing system design and architectural best practices with a focus on reusability, maintainability, reliability, and scalability.</point>
• <point>You are a strong cross-functional collaborator with a good business sense and excellent communication skills in verbal and written English.</point>
• <point>You hold a Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business, or similar studies.</point>

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Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
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<title>Why you’ll love it here:</title>

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• <point>Play a direct role in shaping the future of mobility.</point>
• <point>Impact millions of customers and partners in 600+ cities across 50+ countries.</point>
• <point>Work in fast-moving autonomous teams with some of the smartest people in the world. </point>
• <point>Accelerate your professional growth with unique career opportunities.</point>
• <point>Get a rewarding salary and stock option package that lets you focus on doing your best work.</point>
• <point>Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.</point>
• <point>Take care of your physical and mental health with our wellness perks.</point>

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<text>*Some perks may differ depending on your location and role.</text>
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