Senior Data Analyst, Rides Safety

Safety at Bolt sits within Trust & Safety, and it’s about people in the real world. The team works to prevent and respond to everything from road accidents and physical or sexual assault to violent crime, discrimination, harassment, and verbal abuse. The goal is simple: when people think of Bolt, they think of a platform they can trust.

That means finding the signals in very large volumes of trip, case, and behavioural data that point to risky or vulnerable users, then building for both. How do we stop a pattern of behaviour before it becomes an incident? How do we make the platform work better for a rider who needs extra support?

As a Senior Data Analyst for Rides Safety, you’ll be the team’s dedicated analytical partner. This isn’t a role for processing requests. We want someone who investigates the data from every angle, challenges how we approach problems, and helps lift the data skills of the whole team. The Safety team is small and senior, so you’ll have real ownership, move fast, and see first-hand how safety decisions shape the wider business.

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 Central Safety across the full life of an incident: how risk is detected, what happens on the trip, how the case closes, and what happens to the rider and driver afterwards.
• Define the domain’s outcome metrics and guardrails with the team, including the people we checked or blocked who should have been left alone, with serious incident rates as a health check.
• Find patterns in trip, case, and behavioural data that point to risky or vulnerable users, and take risk trends and patterns of criminal activity to Investigations and Policy with a clear view of what a false alarm would cost.
• When a rule, block, or verification change goes live, separate the harm it prevented from the good trips it caught. Read safety experiments with Product Analytics, and say when riders and drivers affecting each other limits what a test can show.
• Build early-warning views, such as risk rankings or segments that are picking up risk, that the team actually acts on.
• Be a thought partner and mentor: challenge assumptions with data, help teammates build their data skills, and ship low to medium effort dbt and Looker changes within Analytics Engineering’s architecture.

• You have extensive and proven experience in analytics, data science, or 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. Python is a plus.
• You know the difference between a launch readout and a causal claim. You can name the alternative explanations for a result, and you’ve designed an experiment or quasi-experiment and lived with the outcome, even a null.
• You bring experience in risk. Trust and safety (digital or physical), fraud detection, risk investigation, threat detection, penetration testing, red teaming, physical security, and risk analytics in banking or fintech are all a strong plus.
• You’ve built solutions, not only reviewed cases: detection logic, risk models, policies, or safety programmes that changed how a team works.
• You’re curious, critical, and clear. You look at a problem from several angles, move fast, and lead with a recommendation, even on sensitive topics.

• 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.