Data Analyst II
GoCardless, a global leader in bank payments, is seeking a Data Analyst II to join their Payment Intelligence team in Riga, Latvia. This role is integral to enhancing payment performance and safeguarding customers from issues like fraud and payment failures. The team collaborates closely with Product Managers, Engineers, and Data Scientists to provide critical insights and drive product direction.
As a Data Analyst II, you will partner with various stakeholders, including product, operations, marketing, and commercial teams, to deliver actionable insights that influence decisions across the organization. Your responsibilities will include owning and iterating on experiments to generate user insights, defining key performance indicators (KPIs), and building models of user segmentation and customer lifetime value to inform strategic product and commercial decisions. Additionally, you will mentor other members of the organization to foster a data-driven culture.
The ideal candidate will have experience in data analysis, particularly in the payments or financial services sector. Proficiency in SQL, data visualization tools like Looker, and a strong understanding of A/B testing methodologies are essential. Experience with Python for automation and familiarity with AI technologies will be advantageous. Strong communication skills are necessary to translate complex technical findings into compelling narratives that influence product roadmaps and executive decision-making.
While specific compensation details are not provided, GoCardless offers a comprehensive benefits package, including health insurance, retirement plans, and professional development opportunities. The company fosters a collaborative and innovative work environment, encouraging continuous learning and growth.
Joining GoCardless means becoming part of a mission-driven company dedicated to improving payment experiences globally. As a Data Analyst II, you will have the opportunity to make a significant impact on the company's strategic direction and contribute to the success of its Payment Intelligence products.