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Senior Analytics Engineer, Customer Support
2 months ago
We are looking for an Analytics Engineer to be a central part of the operational side of the Customer Support team and play a pivotal role in shaping the future of data analytics, fueling growth, optimizing operations, and improving current analytical processes. The Analytics Engineer will be a strategic partner to numerous internal and cross-functional teams and will empower the organization with high-quality reusable data models.
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
About the role
As a Senior Analytics Engineer in the Customer Support team, you will be instrumental in developing and maintaining the foundational data layer that powers our analytics. Your role involves translating business metrics and concepts into scalable and maintainable data models, while adhering to best practices in system design and architecture. You will work closely with operational stakeholders to prioritize and align data modeling efforts with long-term business needs, building foundation for downstream decision-making and operational efficiency.
Main tasks and responsibilities:
Set up and manage the architecture, documentation, and key data transformations for in-house (our own product data) and third-party tools data (for both core and semantic models in dbt). Gradually refactor historically scattered customer support data flow into modularized and reusable data transformations in dbt
Work closely with operational stakeholders and data analysts to prioritize and align data modeling roadmaps, ensuring data solutions meet long-term scalable business needs
Manage third-party data ingestion with self-service tooling (Fivetran) for a limited number of use-cases
Make sure both core and semantic models support operational analysis by analysts for decision making
Develop and maintain the semantic layer for operational data in dbt, including reusable metrics
Follow system design and architectural best practices to ensure data integrity and efficiency across all processes. Ensure high-performance, scalable, reliable and maintainable data transformations. Oversee data quality and consistency across the analytics layer (incl. with proper tests coverage and alerting)
Be a liaison between the CS analytics team and the data platform team
About you:
Bachelor's/Master's degree in Mathematics, Economics, Computer Science, Information Management, Statistics or Business
At least 3 years of significant experience in developing analytics architecture and data modeling, working with large volumes of data and demonstrating tangible impact in the area
Proficient in SQL, Python, and Spark, experience in leveraging tools such as Apache Airflow and dbt for effective data orchestration and data transformation at scale
Proficiency in data modeling tools, particularly dbt, with a focus on reusability, maintainability, reliability, and scalability
Excellent knowledge of system design and architectural best practices
Strong collaborator with excellent communication skills in English (both verbal and written)
Experience working collaboratively in cross-functional teams, with a demonstrated ability to align data modeling efforts with operational priorities)
Self-service data ingestion experience (e.g. with Fivetran) would be an advantage
Previous exposure to BI tools (e.g. Looker or Tableau) would be an advantage
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
Why you'll love it here:
Play a direct role in shaping the future of mobility.
Impact millions of customers and partners in 500+ cities across 45 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.
