At a Glance
- Tasks: Own and optimise data workflows, design dashboards, and mentor junior analysts.
- Company: Join Checkout.com, a leading fintech powering billions of transactions globally.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career development.
- Why this job: Make a real impact in the fintech world while developing your analytical skills.
- Qualifications: Bachelor’s degree in a quantitative field and 2-4 years of relevant experience.
The predicted salary is between 63000 - 77000 £ per year.
Company Description
We’re Checkout. com – you might not know our name, but companies like e Bay, 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, Big Query, 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.
- #J-18808-Ljbffr
Analyst II, Insights & Analytics in London employer: 0026 Checkout Technology Ltd
At Checkout.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our London headquarters is not just a workplace; it's a thriving environment where employees are empowered to take ownership of their roles, supported by a hybrid working model that promotes flexibility and work-life balance. With a strong focus on personal and professional growth, we provide ample opportunities for development, ensuring that every team member can make a meaningful impact in the fast-paced world of fintech.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analyst II, Insights & Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like 0026 Checkout Technology Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analyst II, Insights & Analytics at 0026 Checkout Technology Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like 0026 Checkout Technology Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Analyst II, Insights & Analytics at 0026 Checkout Technology Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analyst II, Insights & Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at 0026 Checkout Technology Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 0026 Checkout Technology Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at 0026 Checkout Technology Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at 0026 Checkout Technology Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
