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hace 3 días

Barcelona, España Mad Collective A tiempo completo

.At Mad, we embrace the mad scientist persona How? We question assumptions. We strive to raise the bar. We guess, test, learn and improveOur projects are digital, in industries like VR and marketing services. Our portfolio continues to grow as we seek out exceptional products and ideas to develop and invest in.We are proud of our diversity (over 32 nationalities) and believe it is one of the most important contributors to our success.Join the collective and go mad with usWhat will you do?We are looking for a Data Analyst to join our Billing - Analytics department. This position plays a crucial role in supporting the Billing Team with projects, daily tracking, and analysis. The goal is to explore and understand performance optimization and issue tracking. Through an analytical and business-oriented approach to data, the Data Analyst will enhance billing optimization and help unlock new revenue opportunities.Responsibilities:Help to define and monitor Billing KPIs on a daily basis such as conversion rates, re-bill success, declines and chargebacksUnderstand business needs and produce insightful, actionable insightsConceptualize, develop, and maintain dashboards and visualizations that inform both tactical and strategic decision makingCollaborate with cross-functional teams (Product, Data Engineers, Data Scientists) to plan, facilitate, and develop Billing Analytics projectsEnable self-service data exploration, making data standardized and easily accessibleCollaborate with stakeholders to collect feedback, educate on new data solutions and promote data culture within the companyRequirementsThe ideal candidate will have at least 2-3 years of relevant industry experience, including 1-2 year with billing/finance knowledge, possess good communication skills, is proactive, independent and result oriented. We are looking for someone who is passionate about challenging billing and payments data problems, enjoys finding interesting insights and suggesting improvements, and applying conclusions to drive clear and practical business improvements

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