Optimization Data Analyst

October 17, 2026

Office

Senior

London

Keep in mind

Office-only work

Description

The Optimization Data Analytics team is hiring a Data Analyst to support top customers and drive automation and scaling projects. The role covers evaluating large datasets on pressing business questions, building self-service tools for the Account Management organization, and turning findings into actionable stories for stakeholders and merchants. The stack spans Python, SQL, PySpark, Looker and other Big Data tools.

Responsibilities

Develop scalable and reusable frameworks for evaluating large datasets on pressing business questions
Determine the necessary data required to solve business problems, extract data, draw conclusions and provide recommendations
Act as subject matter expert for merchants and internal stakeholders on payment optimization
Shape the next generation of BI and data infrastructure, building self-service tools and automation projects
Turn findings into concise, actionable advice and present to internal customers and merchants
Collaborate with Account Managers and Product teams to align on data best practices and priorities
Write complex and high performing Python/SQL queries and apply advanced statistical techniques
Develop and optimize data pipelines using PySpark and other Big Data tools
Create and optimize ETLs, ensuring data consistency and reliability
Design and develop LookML models and Looker dashboards

Requirements

At least 5 years of relevant working experience in the Data & Analytics field
Excellent analytical and data wrangling skills, with advanced proficiency in PySpark/Python
Experience using descriptive and inferential statistics such as distributions, correlations, hypothesis testing and regressions
Expertise in leveraging data to uncover meaningful and actionable insights for executives
Experience with data visualization platforms such as Looker and Tableau
Familiarity with Big Data tools and platforms such as Spark and Airflow, and proficiency in version control using Git
Ability to design and develop efficient and scalable ETL and data pipelines with automated data validation
Ability to manage multiple priorities and deliver results in a fast-paced environment
Excellent communication and collaboration skills with a global perspective for a multicultural team
Experience in FinTech or Payments is a plus

Conditions

Full-time employment with office-based collaboration in London
Feedback on application within 5 business days, interview process about 4 weeks

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