About us
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday.
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.
What You'll Do
At GoCardless analytics is at the core of everything we do and drives business performance through data insight. You will play a critical role partnering closely with stakeholders across the business (including product, operations, marketing, and commercial teams) in order to deliver actionable insights to influence decisions at every level of the organisation. The role is focussed on identifying value and driving change throughout the business derived from insights. Your insights will be turned into actions that will help drive the future of GoCardless. You will act as the bridge between the data, technical and business stakeholders informing strategic plans and will own and evolve a suite of reports designed to give a wide range of stakeholders access insights.
- 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))
Life at GoCardless
We're an organisation defined by our values; We start with why before we begin any project, to ensure it’s aligned with our mission. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Working this way creates the GC magic- the reason we all love showing up to work.
Salary range
The expected base salary range for this position is between €32,000 - €48,000. Base salary ranges are based on role, job level, location, and market data. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.
(some of) The good stuff
- Wellbeing - stay healthy with dedicated support and medical cover
- Work away scheme - gives you the option to work away from your country of residence for up to 90 days in any 12 month period
- Adaptive Working - allows you to work flexibly, around your lifestyle
- Parental leave - to suit everyone embarking on life's great adventure
- Learning Budget - lead your own development with an annual learning budget
- Time off - generous holiday allowance, + 3 annual volunteer days, + 4 annual business-wide wellness days (‘GC Fridays’)
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 capabilities of team members throughout the company.
What Excites us
- You have a background working in similar fast paced product-driven teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed product decisions
- You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product
- You have extensive experience with data visualisation tools mentioned above and develop compelling visualisations which influence decision making and business understanding
- You have advanced SQL skills and intermediate Python skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
- You have a background working in similar fast paced teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed decisions.
- You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across the business and negotiating timelines to unblock yourself and make things happen!
