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Data Analyst II

gocardless · Riga, Riga · Posted 172 days ago

hybridic
SQLPythonLookerA/B TestingData VisualizationAmplitudeMachine LearningUser Segmentation

About us

GoCardless is a global bank payment company. Over 100,000 businesses , from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking.

GoCardless processes US$130bn+ of payments annually, across 30+ countries ; helping customers collect and send both recurring and one-off payments , without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks , we help our customers make faster, more informed decisions.

We are headquartered in the UK with offices in London and Leeds , and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States.

At GoCardless, we're all about supporting you ! We’re committed to making our hiring process inclusive and accessible . If you need extra support or adjustments, reach out to your Talent Partner — we’re here to help!

And remember: we don’t expect you to meet every single requirement. If you’re excited by this role, we encourage you to apply!

Payment Intelligence

Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction.

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Related roles

There are 30 open roles at gocardless right now. This role is one of 178 Data Analyst openings and centers on SQL, Python, Data Visualization, and A/b Testing.

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