Senior Data Analyst, Bolt Food

We are looking for a Senior Data Analyst to join Bolt Food’s Merchant Strategy & Planning team in Tallinn. In this role, you will lead high-impact analytics work across commercial performance, marketplace dynamics, pricing, sales forecasting, operations, and strategic decision-making.Location: Tallinn, Estonia

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About the role

We are looking for a Senior Data Analyst to join Bolt Food’s Merchant Strategy & Planning team in Tallinn. In this role, you will lead high-impact analytics work across commercial performance, marketplace dynamics, pricing, sales forecasting, operations, and strategic decision-making.You will partner with senior stakeholders across commercial and operations teams, helping them move beyond reporting into structured, decision-ready analysis and complex commercial models. This role is ideal for someone who combines strong technical ability with commercial judgement, advanced modelling capability, stakeholder influence, and the autonomy to drive the analytical agenda proactively.

Main tasks and responsibilities:

Lead cross-functional analytics projects across pricing, marketplace efficiency, sales performance, account management, enterprise, operations, and commercial strategy.
Build complex pricing, forecasting, and commercial models that support business decisions, scenario planning, sensitivity analysis, prioritisation, and performance forecasting.
Translate ambiguous commercial problems into structured analytical frameworks, clear recommendations, and measurable business actions.
Design, improve, and scale dashboards, reporting layers, metric definitions, and self-serve analytics tools for commercial and operations stakeholders.
Lead or co-lead experiments, including hypothesis development, test design, statistical analysis, interpretation, and recommendation.
Partner with and influence senior stakeholders by raising the quality of analytical thinking, communication, and decision-making.
Main tasks and responsibilities:

About you:

You are a senior analytical thinker who can independently shape ambiguous business problems into structured, decision-ready analysis.
You have excellent SQL skills and can work confidently with complex datasets, data quality issues, metric definitions, and analytical logic.
You have strong experience with statistics, A/B testing, experiment design, causal analysis, and performance measurement.
You have strong modelling skills and can build pricing, sales forecasting, scenario planning, or commercial models that are actively used by business teams to make decisions.
You have hands-on experience with BI and data visualisation tools, preferably Looker, and can build dashboards that enable self-serve analytics.
You have experience with data modelling using dbt or similar tools, and can help improve reporting layers, metric definitions, and analytical foundations.
You are highly autonomous and confident, influencing senior stakeholders while communicating complex insights clearly to non-technical audiences.
At Bolt, using AI daily is a baseline expectation for everyone. If there’s a faster, smarter way to do your work, we expect you to find it. You’re still responsible for the output, so the standard stays high when using AI tools. Experience is valuable, but what we really look for is drive, intelligence, and integrity — so if you don’t tick every box, apply anyway.
About you:

Apply now and join us to make cities for people, not cars.

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Bolt’s Data Analytics teams drive sustainable growth across all business lines. Spread across the organisation, they act as a bridge between executive management and local operations, providing insights and strategies that power smarter decisions.
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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 at Bolt 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.

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