Lead Pricing Analyst, Rides

We are looking for a Lead Pricing Analyst to support the adoption of a global pricing strategy and local experimentation to drive incremental net profit and sustainable growth in the Ride Hailing vertical. You will be working with HQ and local teams to optimize pricing structures through market diagnostics and validate improvements via A/B testing and modeling.

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Analytics

Tallinn, Estonia

About us

With over 150 million customers in 45+ 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, national origin, 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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About the role

Your daily adventures will include:

Establish strong collaboration between Growth Analytics, Product Incentives, and Country teams to proactively identify opportunities for enhancing global campaign playbooks, processes, tooling.
Conduct research, audits and analysis, uncovering insights on customer lifetime value, user experience, and operational efficiency, and sharing these insights with relevant stakeholders.
Own the impact assessment and generalization of data insights and proposed opportunities.
Collaborate with the Product team to build joint roadmaps, research business opportunities, ideate on solution design, estimate effort, and prioritize backlog based on impact.
Own global experimentation roadmap, consolidate learnings into playbooks to optimize the impact of day-to-day Growth Analytics operations.
Own the rollout roadmap of new segmentation, features, reporting, and tooling across relevant markets for the Growth Analytics team. Ensure playbook adoption across relevant markets.
Define requirements and own a set of relevant KPIs, dashboards, and tooling for the Growth Analytics and SGTM teams to track progress and make decisions effectively.

About you:

Bachelor's degree in Mathematics, Economics, Computer Science, Statistics or similar
At least 2 years of experience in an analytical role dealing with large volumes of data
Experience in consulting, pricing/discount strategy, and/or on-demand is a plus
Solid grasp of statistics and demonstrated experience with A/B testing
Proficiency in SQL and Excel, with experience in Python or R
Experience with BI tools and data visualization such as Looker, Tableau or Power BI
Strong collaborator with excellent communication skills (both verbal and written)
Excellent at best practices of change management and process improvement
Fluent in English

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 if you feel you’re the kind of person described above!

Become part of our Analytics team

The Analytics team ensures the sustainable growth of our business lines. The team’s distributed across the organisation, standing between executive management and local operations, and acts as an internal consultant for growth-related topics.

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Bolt employees having fun while working in the kitchen

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

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The Bolt's Tallinn hub is our largest office and is home to the majority of our management and senior leaders. The hub hosts teams from all business functions, including Marketing, Legal, Finance, Product, and Engineering. Our working space in Tallinn covers three buildings. The offices are divided into individual workstations, team spaces, meeting rooms, and common areas. Our office complex is located close to the city center in Veerenni, and the hub is well-connected by public transport. The heart of the city is just a 10-minute bike or scooter ride away, but many HQ employees walk to the office — including our CEO. Would you consider joining our team and being based in Estonia?*

Do you possess the following skills necessary for this new adventure: Outstanding SQL proficiency, a strong command of Python/R for data analysis, a solid understanding of statistics for A/B testing and experimentation, at least 4 years experience in an analytical role dealing with large volumes of data, experience in consulting, pricing/discount strategy and excellent English communication skills? Feel free to add any relevant information that could help us on understanding better your skills and background :)

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