Analyst II, Insights & Analytics

0026 Checkout Technology Ltd; Greater London; On-site; GBP 45,000 - 65,000; Full time

Job summary

0026 Checkout Technology Ltd is seeking a Data Operations Analyst II to take ownership of critical data workflows. This role involves designing scalable data solutions and serving as a bridge between various business and technical teams.

The ideal candidate will optimize data delivery, build high-impact dashboards, and mentor junior analysts. A bachelor's degree in a quantitative field and 2–4 years of relevant experience are required, along with advanced SQL proficiency and experience with data visualization tools.

Qualifications

• 2–4 years of experience in an analytical or data operations role, ideally in Fintech.
• Strong understanding of data modeling concepts.
• Ability to explain complex data constraints to non-technical stakeholders.

Responsibilities

• Own and optimize data workflows, managing syncs and automation.
• Design and maintain interactive dashboards for decision-making.
• Lead small to medium-sized data projects from conception to delivery.

Skills

SQL proficiency

Data visualization

Root-cause analysis

Dashboard building

Data modeling

Education

Bachelor’s degree in a quantitative field

Tools

Looker

Tableau

Python

R

Job description

Company Description

We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen. Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why. With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.

Role Overview

As a Data Operations Analyst II, you will take ownership of critical data workflows and serve as a strategic data partner to the Operations, Compliance, and Finance organizations. You will move beyond simple request fulfillment to designing scalable data solutions, acting as a bridge between business stakeholders and the technical BI/Analytics teams. You will be expected to identify process inefficiencies, automate reporting at scale, and mentor junior analysts in best practices.

Responsibilities

• Own and optimize data workflows: manage syncs, architect and maintain complex data pipelines and automation workflows.
• Proactively identify bottlenecks in data delivery and implement solutions to reduce manual intervention.
• Design, build, and maintain high-impact interactive dashboards (using tools like Looker, BigQuery, etc.) that drive decision-making for executive leadership.
• Tell the story behind the data, not just display the numbers.
• Lead the definition of data quality standards.
• Perform root‑cause analysis on data discrepancies, implement automated alerts for anomalies, and work directly with Engineering/BI to fix upstream data issues permanently.
• Act as the primary data consultant for specific Operations, Compliance, and Finance verticals.
• Lead small to medium-sized data projects from conception to delivery, managing timelines and stakeholder expectations without heavy supervision.
• Provide guidance and technical support to Analyst I team members, assisting with code reviews (SQL) and best practices for data visualization.

Qualifications

• Bachelor’s degree in a quantitative field (CS, Math, Economics, Engineering) or equivalent practical experience.
• 2–4 years of experience in an analytical or data operations role, ideally within Fintech, Payments, or a high‑growth tech environment.
• Advanced proficiency in SQL is required (window functions, complex joins, query optimization).
• Proven expertise in building complex dashboards in Looker, Tableau, or similar.
• Basic proficiency in Python/R for scripting or data manipulation is highly desirable.
• Strong understanding of data modeling concepts (star schema, snowflake) and experience translating vague business questions into precise technical requirements.
• Ability to explain complex technical data constraints to non‑technical stakeholders and negotiate scope effectively.
• Fix the process so the report doesn’t break again – not just the report.