Checkout.com

Data Analyst - Payments Success

Atlanta
Level
Mid
Work type
On-site · Atlanta

Not stated in the posting: salary, visa.

Open. First seen 2 November 2026.

Apply on the company's site →

About the role

Checkout.com's standard text

Company Description

We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

About the team

Payment Success Management (PSM) is a merchant-facing team that diagnoses and fixes payment performance problems. When a merchant's performance falls short of expectations or trails another payment provider, we find the root cause and close the gap. This role supports US-based merchants and works alongside our account managers and technical account managers.

**This job is hybrid - 3 Days in office in our Atlanta, GA location.**

How you'll make an impact

  • Own merchant performance engagements from start to finish, typically about three months each: kickoff, diagnosis, fixes, A/B testing and reporting results.
  • Dig deep into large, complex datasets to find the root cause of performance gaps. Merchants tell us there's a problem, not where it is.
  • Turn your findings into hypotheses, run A/B tests and other experiments to prove them, and measure the uplift.
  • Understand how our machine-learning optimization engine makes decisions. Spot patterns where it gets things wrong and work with our ML engineering team to fix them.
  • Present your findings and results to merchants and non-technical stakeholders as a clear, persuasive story.
  • Use automation and AI to make the team's day-to-day work more efficient.
  • Share what you learn across teams. The problems we solve are rarely the same twice.

What we're looking for

  • 2+ years of experience using data to drive measurable results, such as revenue uplift, cost reduction or efficiency gains, in a role where you owned the metrics and the decisions.
  • Strong SQL and Python skills for analysis. You should be confident checking your own queries, and any AI-generated code, for accuracy. You don't need to write production-quality code, and we'll teach you Go.
  • Natural curiosity. You enjoy solving problems that don't have a ready-made answer.
  • The ability to explain complex analysis clearly to non-technical audiences.
  • Payments experience isn't required. We'll teach you everything you need in your first weeks.
  • We'd love to hear from people with consulting backgrounds, where you linked client teams and technical teams, or startup backgrounds, where you owned and optimized things end to end.

Additional Information

Checkout.com's standard text

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we 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.

Life at Checkout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Checkout.com's standard text

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram

What this role asks for

Standard for data / BI analysis roles

Python · SQL

Common in data / BI analysis postings at any company.

53% of this description is written for the role. The rest is Checkout.com's standard text, folded away below.

Compared with Checkout.com's other open jobs.

The team: Software engineering HIRES STEADILY

This role is one of 20 open in Software engineering. 10 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

.NET (9 of 20), AWS (9 of 20), C# (9 of 20), Agile (8 of 20), Java (8 of 20), Microservices (8 of 20), Python (8 of 20)

OTHER ROLES ON THIS TEAM

From the team and dates on Checkout.com's own job board.

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