Advanced Analytics Lead

Boku; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Boku, un leader mondial des paiements mobiles, recherche un Analytics Engineer à Londres. Dans ce rôle, vous serez responsable de la conception et de la maintenance de modèles de données pour soutenir l'analyse. Vous travaillerez en étroite collaboration avec divers intervenants pour assurer la qualité et l'accessibilité des données nécessaires aux décisions commerciales.

Qualifications

• Expérience en SQL et Python pour transformation des données.
• Compétence dans la construction de modèles de données avec dbt.
• Compréhension des plates-formes modernes de data warehousing.

Responsibilities

• Construire et maintenir des modèles dbt et pipelines ETL/ELT.
• Collaborer avec les analystes pour définir les principes logiques.
• Intégrer des sources de données externes et API.

Skills

SQL

Python

API integration

Data modelling techniques

Data validation

Git

Tools

dbt

Redshift

BI tools

ETL/ELT tools

Job description

Boku Inc. (BOKU.L) is the leading global provider of local mobile-first payments solutions. Global brands including Amazon, DAZN, Meta, Google, Microsoft, Netflix, Sony, Spotify, and Tencent rely on Boku to reach millions of new paying consumers who do not use credit cards with our purpose-built payment network of more than 300 local payment methods across 70+ countries. Every year, Boku processes over $10 billion in value for our customers. Incorporated in 2008, Boku is headquartered in London and San Francisco and has employees in over 39 countries around the world, including Brazil, China, Estonia, Germany, Ireland, Japan, Singapore, and the UAE. Boku is a truly global company that takes pride in its diversity and thriving equal opportunity workplace.

As an Analytics Engineer at Boku, you’ll bridge the gap between raw data and business insights. Your core mission will be to design, build, and maintain clean, scalable data models that enable reliable and efficient analytics across the organisation. This role combines strong technical skills with a deep understanding of how data supports decision-making.

You’ll work closely with analysts, BI developers, and stakeholders to ensure the availability of high-quality, well-modelled data for reporting, dashboards, and data-driven initiatives. This is a great opportunity for someone who thrives on building systems, improving data reliability, and empowering others with the tools to make smart decisions.

Key Objectives

• Develop modular, maintainable data models usingdbtand cloud data warehousing tools
• Promote consistency and trust in data through robustdata validation, governance, and documentation
• Partner with analysts and stakeholders to define and deliver core business logic and metrics
• Enable scalable, self-service analytics through well-structured semantic layers

Core Responsibilities

• Build and maintaindbt models, views, and transformations to support business intelligence and analytics
• Translate business requirements into performant and reliableETL/ELT pipelinesusing SQL and Python
• Collaborate on metric definitions and shared data logic that supports reporting and analysis across teams
• Contribute to the design and maintenance of scalabledata warehouse architecture
• Conduct QA, validation, and testing of data pipelines and dashboard outputs
• Integrate external data sources and APIs into internal data ecosystems
• Maintain clear documentation and contribute to a culture ofknowledge sharing

Skills and Experience

We’re looking for candidates who can demonstrate experience or capability in the following areas. You may have gained these through employment, education, or personal projects:

Technical Skills:

• Strong proficiency inSQLandPythonfor data transformation and scripting
• Experience building data models withdbtor similar tools
• Understanding of moderndata warehousing platforms(e.g. Redshift)
• Familiarity withdata modelling techniquesand transformation best practices
• Experience withAPI integrationand working with external data sources
• Exposure toBI tools(e.g., Tableau, Power BI, etc) and data visualisation concepts
• Understanding of version control systems likeGit

Desirable Knowledge:

• Experience working withETL/ELT tools(e.g., Informatica, Airflow)
• Familiarity withcloud platforms(AWS, Azure, GCP)
• Understanding ofdata governanceanddata quality assuranceprocesses
• Experience inregulated industriessuch as financial services/payments is a plus

What Success Looks Like

• Analysts can confidently self-serve from well-documented datasets
• Business logic is centralised, consistent, and version-controlled
• Data pipelines are robust, monitored, and aligned with business needs
• You proactively identify improvements to how data is modelled, shared, and understood

About You

• A systems thinker with an eye for efficiency and reusability
• Comfortable working with both technical and non-technical stakeholders
• Passionate about clean code, clean data, and clear documentation
• Proactive, communicative, and eager to take ownership of data quality

Why Work at Boku

At Boku, you’ll be part of a global fintech that’s driving real innovation. We value smart thinking, open collaboration, and practical problem-solving. Join us to work with cutting-edge tools, make a measurable impact, and grow your career in a dynamic environment.