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Senior Analytics Engineer, Incentives
2 weeks ago
We are looking for an experienced
Senior Analytics Engineer
to join our
Incentives
team and empower the organisation with scalable, reusable, high-quality data products and solutions.
About Us
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
About The Role
As a
Senior Analytics Engineer
for the
Incentives
team, you will be much more than a data expert, you will actively contribute to shaping the way we serve our customers. You will empower the organisation with scalable, reusable, high-quality data products. In this role, you will support the Incentives Product Analytics team by building robust data foundations and enabling data-driven decision-making at scale.
Your work will help us find the customers who benefit most from our services, provide the best of our products to them, and better understand our customers and their needs, directly contributing to Bolt's mission of cities for people.You will own everything between the data producers and data consumers, and be a sparring partner to both.
Main tasks and responsibilities:
- Partner with product and incentives analysts to prioritise and align analytics engineering roadmaps that address long-term business needs.
- Build, expand, and maintain reusable data models and metrics in dbt.
- Set up and manage the architecture, documentation, and key data transformations for in-house and third-party data.
- Improve the efficiency and impact of growth analysts through data products, processes, collaboration, and active knowledge-sharing.
- Develop strategic data products, such as a segmentation feature store, or enable advanced solutions such as interactive metrics trees.
- Follow system design and architectural best practices and closely collaborate with cross-functional stakeholders to ensure data integrity and efficiency across all processes.
About you:
- You hold a Bachelor's and/or Master's degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Information Management, Business, or similar studies.
- You have significant experience with data modeling, developing analytics architectures for large volumes of data, and can demonstrate tangible impact in the area
- You are proficient in SQL, Python, Spark, data modelling tools such as dbt, and orchestration tools such as Apache Airflow.
- You possess excellent knowledge of system design and architectural best practices with a focus on reusability, maintainability, reliability, and scalability.
- You are a strong cross-functional collaborator with a good business sense and excellent verbal and written English communication skills.
- Previous exposure to Business Intelligence tools, ideally with Looker.
Experience is great, but we also look for 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
Why you'll love it here:
- Play a direct role in shaping the future of mobility.
- Impact millions of customers and partners in 600+ cities across 50+ countries.
- Work in fast-moving autonomous teams with some of the smartest people in the world.
- Accelerate your professional growth with unique career opportunities.
- Get a rewarding salary and stock option package that lets you focus on doing your best work.
- Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
- Take care of your physical and mental health with our wellness perks.
- Some perks may differ depending on your location and role.
