Source: CrawlJobs

Data Analyst II

GoCardless Riga, Latvia
On-site work

Publication date: 31/08/2026

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. Our mission is to make GoCardless the best way to pay and be paid. 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. 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.

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))

Requirements

Comfortable with large data sets, customer data, and machine learning principles; Background working in similar fast paced product-driven teams; Great at communicating insights to a range of audiences, including senior stakeholders; Self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product; Extensive experience with data visualisation tools mentioned above and develop compelling visualisations which influence decision making and business understanding; Advanced SQL skills; Intermediate Python skills; Experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes; Solution-oriented and able to own projects from start to finish; Comfortable motivating stakeholders across the business and negotiating timelines

Benefits

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’)
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