Data Analyst II

About the role

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. Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features.

Responsibilities

• Own and iterate on experiments to generate user insight and drive business metrics, allowing the team to quickly take action on business opportunities.
• Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
• Influence the organisation to increase Product Data coverage and implement user tracking best practices - acting as a mentor to guide other members of the organisation to become data driven
• Build models of user-segmentation, customer lifetime value etc in order to inform strategic product & commercial decisions
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker), Tracking (Amplitude), Automation (Python), AI (Gemini)
• What Excites You
• Become a strategic partner and advisor for the business: you like to proactively seek out gaps in our product capabilities, suggest areas of improvement based on tangible data, as well as owning processes to run and improve testing from the tracking point of view when developing new features.
• Act as a catalyst for change across the organization, driving the evolution of our data analytics standards, internal processes, and overall product data strategy to ensure scalability and operational excellence.
• Translate complex technical findings into compelling, high-impact narratives. You will bridge the gap between technical data and commercial strategy, influencing product roadmaps and executive decision-making across the entire organization.
• Stay current with AI and data trends to solve real-world problems. You like to leverage these technologies to enhance the payment experience, as well as to optimize data analysis, and deliver high-impact insights and strategic recommendations across the business.
• Unlocking new layers of payment performance, from uncovering new fraud vectors to maximizing success rates
• Serve as a cross-functional mentor, championing a data-driven mindset and elevating the analytical

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at gocardless? Share your experience