About the role

Our whole platform lives and breathes on data. Every step of our product development is powered by robust, scalable data infrastructure — and Analytics Engineers are the people who make that possible.

As an Analytics Engineer , you work at the intersection of data engineering and product analytics. You own everything between data producers and data consumers: building the pipelines, models, and data products that empower analysts and decision-makers across the organisation. You’re a sparring partner to our Product Analysts and a force multiplier for the teams you support.

We operate across four product verticals — Ride-Hailing, Delivery (Bolt Food and Bolt Market), Rentals (e-bikes, scooters, and carsharing), and  Business — plus two horizontals: Platform and Incentives.

We have multiple open roles across these teams. Once you apply, you’ll go through a universal process designed to help you learn more about Analytics Engineering  — and help us find the team that best matches your skills and ambitions.

If you believe great data infrastructure is what separates fast-moving organisations from slow ones, you’ll fit right in. Scroll down to find out what it looks like day-to-day!

Main tasks and responsibilities

• Work closely with product analysts and adjacent stakeholders to prioritize and align analytics engineering roadmaps, ensuring that solutions meet the long-term business needs.
• Build, expand and maintain reusable data models and metrics in dbt.
• Set up and manage the architecture, documentation, and key data transformations for in-house and third-party data.
• Improve the efficiency and impact of product analysts through data products, processes, collaboration and active knowledge-sharing.
• Develop strategic data products such as segmentation feature store or enable advanced solutions such as interactive metrics trees.
• Follow system design and architectural best practices and closely collaborate with cross-functional stakeholders to ensure data integrity and efficiency across all processes.

About you

• You hold a Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business or similar studies.
• You have significant experience with data modeling, developing analytics architectures for large volumes of data and can demonstrate tangible impact in the area.
• You are proficient in SQL, Python, Spark, data modelling tools such as dbt and orchestration tools such as Apache Airflow.
• You possess excellent knowledge of system design and architectural best practices with a focus on reusability, maintainability, reliability, and scalability.
• You are a strong cross-functional collaborator with a good business sense and excellent communication skills in verbal and written English.
• Previous exposure to Business Intelligence tools such as Looker or Tableau would be an advantage.

Why you’ll love it here

• Accelerate your professional growth with unique career opportunities.
• Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you.
• Take care of your physical and mental health with our wellness perks.
• Celebrate 5 years  with a 1-month paid sabbatical to recharge.
• Connect with colleagues at annual company events and smaller team gatherings.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!
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