Data Analytics Graduate, Ride-Hailing
Tallinn, Estonia
Bolt
Bolt powers frictionless experiences for retailers and customers at every step of the shopping journey—from login to checkout.Kickstart your Data Analytics career with Bolt’s dynamic 18-month Graduate Programme in Estonia 🇪🇪! Designed for ambitious early-career talent, this opportunity offers two focused nine-month rotations within the Ride-Hailing Central Operations team, giving you exposure to high-impact analytics, product thinking, and operational strategy.
You’ll gain hands-on experience solving real-world mobility challenges and, upon successful completion, transition into a full-time Data Analyst role in one of Europe’s fastest-growing tech companies.
The program launches in September 2025, it will be paid, and it is full-time.
Please note: we’re not able to offer visa sponsorship or relocation support for this role, so make sure you’re all set to be in Estonia if you apply!
About us
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!
About the role
We are looking for a Data Analyst Graduate to join our Analytics team and help shape the future of urban transportation. You’ll fuel business growth, improve operational efficiency, and help scale critical analytical processes across 50+ countries and 600+ cities.
In this role, you'll work cross-functionally with stakeholders across Bolt, using data to unlock insights, drive decision-making, and build scalable analytics systems that power our Ride-Hailing operations.
Main tasks and responsibilities:
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Partner with domain managers to drive data-informed decision-making and improve efficiency.
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Lead the development, monitoring, and alignment of key KPIs with strategic business goals.
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Implement automated workflows and optimise manual processes using scripting and analytics tooling.
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Design, build, and maintain scalable dashboards in Looker that reflect real-time business needs.
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Define and enforce best practices for reliable and secure data exposure across teams.
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Collaborate with program managers, operations leaders, engineers, and other cross-functional stakeholders.
About you:
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You hold a Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or a related field (a Master’s is a plus).
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You have a strong interest in data analytics, KPI development, data modelling, and dashboard creation.
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You are proficient in SQL and Python (required).
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Experience with Presto, DBT, Looker, and Databricks is a plus.
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You have excellent stakeholder management and communication skills, with experience working cross-functionally.
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You’re motivated by automation, process optimisation, and scaling tools and workflows through scripting and data engineering best practices.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
Why you’ll love it here:
- Play a direct role in shaping the future of mobility.
- Impact millions of customers and partners in 600+ cities across 50+ countries.
- Work in fast-moving autonomous teams with some of the smartest people in the world.
- Accelerate your professional growth with unique career opportunities.
- Get a rewarding salary and stock option package that lets you focus on doing your best work.
- 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.
- Take care of your physical and mental health with our wellness perks.
*Some perks may differ depending on your location and role.
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Databricks dbt Economics Engineering KPIs Looker Mathematics Python SQL Statistics
Perks/benefits: Career development Relocation support
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