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Checkout.com

Data Analyst - Payments Success

  • Office
  • 0-3 years

Salary

Not stated

Similar roles pay $80K - 105K a year · our estimate

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Description

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.

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.

Requirements

  • 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
  • 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.
  • 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

Where you’d work

From the office, 3 days a week in the office

About the company

Checkout.com

  • Industry: FinTech

Office in Atlanta, United States

Also hiring in Barcelona, Spain, London, United Kingdom, New York, United States and 4 more places

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 1 red flag

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
Type
Full-time
Industry
FinTech
Specialty
Data Analyst
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Experience
2+ years
Tech stack
  • Python
  • SQL

Location

Work model
Office
Region
United States
Office
  • Atlanta, United States
Days in the office
3 days

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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