Bolt

Senior Data Analyst

Tallinn, Estonia Full Time

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We are looking for an experienced Senior BI Analyst to join our Rides Central Operations hub to own and bridge the gap between stakeholders and the data repo. 

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<gh-about-us>

<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>

<text>

As a Senior BI Analyst in the Central Operations Analytics team you sit between business stakeholders and the data repo - translating operational questions into accurate, documented datasets and Looker explores that analysts and operators can self-serve. You own everything between marts/facts and the BI layer, and are a sparring partner to the operations analysts and business teams across Rides, Delivery, and wider verticals.

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<gh-responsibilities>

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

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  • <point>Turn stakeholder and analyst requests into clear specs (grain, definitions, edge cases) before modelling, and validate output with source systems and stakeholders before sign-off.</point>
  • <point>Build and maintain reusable dbt models, tests, and documentation; extend marts and facts for reporting and self-service.</point>
  • <point>Maintain end-to-end Looker projects (LookML views, explores, refinements), keeping LookML in step with dbt-driven or synced explores where applicable.</point>
  • <point>Use AI-assisted tooling (e.g. Cursor, Claude) and lightweight automations across dbt, Airflow, Databricks, Python, and Google Sheets to accelerate modelling and remove repetitive analyst work.</point>
  • <point>Support break-fix and small refactors when upstream schemas or marts change; coordinate impact with key consumers.</point>
  • <point>Follow system design and architectural best practices, collaborating with cross-functional stakeholders to ensure data integrity and consistency across the analytics stack.</point>
     

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<gh-requirements>

<title>About you:</title>

<bulletpoints>

  • <point>You hold a Bachelor and/or Master degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business or similar studies.</point>
  • <point>You have significant experience in BI, analytics, or data roles with end-to-end delivery ownership, and can demonstrate tangible impact in data modelling.</point>
  • <point>You are proficient in SQL and dbt (refs, layers, tests, documentation) and fluent in LookML (explores, dimensions, measures, refinements, explore-as-code).</point>
  • <point>You have a working knowledge of Python for analytics and automation; familiarity with Spark, Airflow, or semantic/metrics-layer patterns (dbt Semantic Layer, MetricFlow) is a plus.</point>
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  • You are a strong cross-functional collaborator with good business sense, structured written communication (tickets, specs, PRs), and excellent verbal and written English.</point>
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  • You are proactive, take ownership, flag blockers early, and care about how numbers are interpreted - not only that the pipeline runs.</point>

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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!

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<gh-perks>

<title>Why you’ll love it here:</title>

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


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