Senior Data Analyst, Rides Operational Excellence

Behind every driver who joins Bolt and every support case that gets resolved sits a lot of operational work: registrations, driver hubs, in-house and outsourced support teams, and the workflows running through our CRM tools. Operational Excellence decides how that work runs across all our markets.

As a Senior Data Analyst for Rides Operational Excellence, you’ll be their analytical partner. You’ll find where time and cost really move, tell genuine efficiency gains apart from a quieter week or a different mix of work, and help decide where automation and AI should take work off people’s plates. What we’re after is simple to say and hard to measure: the right decision, made in less human time.

You’ll join the Rides Central Operations Analytics team with plenty of collaboration across the team. Beyond your domain team, you’ll work closely with Analytics Engineering and our Local Operations teams. The scope is global.

The team is based at our HQ in Tallinn, Estonia. This role is on-site, so you’ll need to be based in Tallinn or open to relocating.

• Partner with Operational Excellence on registration decisions, in-house and outsourced capacity, support standards, hubs, and CRM workflows, and own the domain’s KPI tree, pairing outcome metrics with guardrails.
• Find where time and cost actually move, separating a busier week, a different mix of work, and rework from a real change in how the work gets done.
• Evaluate automation, outsourcing changes, and new process standards, including the ones that don’t work. Read tests of automation, queues, hubs, and reactivation with Product Analytics, and flag when a result from one market won’t travel to another.
• Build forecasts and early-warning views, such as a queue that’s about to miss its target, that change staffing and capacity decisions, and quantify what a false alarm would cost.
• Put AI to work: use LLM tools like ChatGPT and Claude to speed up your own analysis, and help design and measure LLM-powered workflows such as case classification or summarisation.
• Ship low to medium effort dbt and Looker changes within Analytics Engineering’s architecture, and write clear specs when a change is bigger or crosses domains.

• You have have extensive and proven experience in analytics, or in a data role where you owned the path from question to decision, and a degree in a quantitative field or equivalent practical experience.
• Your SQL holds up in front of other analysts, and you’ve shipped dbt and Looker changes (models, tests, docs, explores) through someone else’s review.
• You have hands-on experience with LLM tools such as ChatGPT or Claude. You use them every day to work faster, and ideally you’ve built or evaluated an LLM-powered workflow and know how to check whether its output is good enough to trust.
• You’ve evaluated an automation, an outsourcing change, or a process standard, including one that didn’t work, and you know the difference between a launch readout and a causal claim.
• You write and communicate clearly. You lead with the recommendation, flag blockers while there’s still time to change the plan, and you’ve convinced a business lead that a popular metric was the wrong one.

Nice to have

• Python is a plus.
• Experience in registration operations, driver hubs, customer support, or workforce planning is a strong plus, especially if you’ve used a forecast to change a staffing or queue decision.

• 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.