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- Tasks: Join our Payment Success team to optimise payment strategies for top-tier merchants.
- Company: Checkout.com is a leading fintech empowering businesses in the digital economy.
- Benefits: Enjoy hybrid working, amazing snacks, and a supportive community.
- Why this job: Make a real impact by driving merchant performance and collaborating with diverse teams.
- Qualifications: 2+ years in analytics, SQL/Python skills, and a customer-driven mindset required.
- Other info: We welcome applicants who connect with our mission, even if they don't meet all requirements.
The predicted salary is between 28800 - 43200 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.
Company Description
Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We're the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how. We empower passionate problem-solvers to collaborate, innovate and do their best work. That's why we're on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we're just getting started. We're building diverse and inclusive teams around the world - because that's how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.
Job Description
The role
We empower businesses in the digital economy, and we know that every payment counts. Our Payment Performance team's mission is to manage and optimise merchants' payment flow, to achieve optimal conversion, compliance and cost. Checkout.com is looking for a Data Analyst to join our Payment Success team to craft an all-encompassing payments strategy tailored specifically for our Tier-1 merchants. You will be the main point of contact for a merchant regarding their payment performance playing a critical role in defining, delivering and building tools for the right insights to showcase the value of our optimal payment strategies. You will work closely with Payment Performance engineers and data scientists leveraging cutting-edge technology and data insights. You will also collaborate regularly with other teams and cross-functional stakeholders to establish priorities and drive merchant performance improvements.
How you'll make an impact
- Deliver expertise and guidance to our key merchants by crafting optimal payments strategy.
- Conduct deep-dive exploratory data analysis to uncover insights and anomalies.
- Conduct experiments and A/B tests to improve performance, including ML based solutions.
- Develop cutting-edge automation tools aimed at monitoring and optimising merchants' performance.
- Implement robust measurements to assess how proposed solutions impact merchants' performance and revenue, providing valuable insights for both internal and external ROI.
- Collaborate with various teams across the company to ensure an outstanding merchant experience and feed requirements for product development.
- Elevate internal awareness, particularly within the executive team, regarding the full spectrum of merchant services and benefits provided.
- Drive a culture of cross-team learning and knowledge sharing.
Qualifications
What we're looking for
- 2+ years in an analytical role either at a Fintech or Consultancy, using analysis to make business recommendations.
- Data driven approach, by clearly defining success metrics and measuring progress against them.
- SQL / Python knowledge to extract & analyse large data from our Data Warehouse.
- Good knowledge of today's major e-commerce and payments technologies and trends.
- Customer driven and able to establish robust relationship with assigned customer base.
Additional Information
Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We've worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.
We believe in equal opportunities. We work as one team. Wherever you come from. However you identify. And whichever payment method you use. Our clients come from all over the world - and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success. When you join our team, we'll empower you to unlock your potential so you can do your best work. We'd love to hear how you think you could make a difference here with us. We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We'll be happy to support you.
Senior Data Analyst - Payment Success employer: Checkout.com
Contact Detail:
Checkout.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Payment Success
✨Tip Number 1
Familiarise yourself with the latest trends in e-commerce and payment technologies. This knowledge will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion for the field.
✨Tip Number 2
Network with professionals in the fintech space, especially those who work in data analysis or payment success roles. Attend industry events or join relevant online communities to build connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive business recommendations in your previous roles. Being able to articulate your impact on performance metrics will demonstrate your value to potential employers.
✨Tip Number 4
Showcase your SQL and Python skills through practical examples or projects. Consider creating a portfolio that highlights your ability to extract and analyse large datasets, as this will set you apart from other candidates.
We think you need these skills to ace Senior Data Analyst - Payment Success
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in fintech or consultancy. Emphasise your skills in SQL and Python, as well as any experience with e-commerce and payment technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the digital economy and how your background aligns with Checkout.com's mission. Mention specific examples of how you've used data to drive business recommendations and improvements.
Showcase Your Analytical Skills: Provide examples of past projects where you conducted exploratory data analysis or A/B testing. Highlight any automation tools you developed and how they impacted performance metrics.
Demonstrate Customer Focus: Illustrate your ability to build strong relationships with clients. Share experiences where you collaborated with cross-functional teams to enhance customer experiences or drive performance improvements.
How to prepare for a job interview at Checkout.com
✨Showcase Your Analytical Skills
As a Senior Data Analyst, you'll need to demonstrate your analytical prowess. Prepare examples of past projects where you used SQL or Python to extract and analyse data, and be ready to discuss how your insights led to business recommendations.
✨Understand Payment Technologies
Familiarise yourself with the latest e-commerce and payment technologies. Being able to discuss current trends and how they impact payment performance will show that you're not just a data analyst, but also a knowledgeable partner for merchants.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach a situation where a merchant's payment performance is declining and what steps you would take to analyse and improve it.
✨Emphasise Collaboration
Highlight your experience working in cross-functional teams. Discuss how you've collaborated with engineers, data scientists, and other stakeholders to drive improvements in performance, as this role requires strong teamwork to succeed.
