Data Analyst

hace 4 semanas


Barcelona, Barcelona, España Mad Collective A tiempo completo
Unlock the Power of Data with Mad Collective

We're on a mission to revolutionize the way we approach billing and payments data. As a Data Analyst at Mad Collective, you'll play a crucial role in helping us achieve this goal.

About the Role

We're seeking a highly skilled and motivated Data Analyst to join our Billing Analytics department. As a key member of our team, you'll be responsible for supporting the Billing Team with projects, daily tracking, and analysis.

Key Responsibilities
  • Define and monitor Billing KPIs on a daily basis, including conversion rates, re-bill success, declines, and chargebacks.
  • Produce insightful and actionable insights to inform business decisions.
  • Conceptualize, develop, and maintain dashboards and visualizations that drive tactical and strategic decision-making.
  • Collaborate with cross-functional teams to plan, facilitate, and develop Billing Analytics projects.
  • Enable self-service data exploration and make data standardized and easily accessible.
  • Collect feedback from stakeholders, educate on new data solutions, and promote a data-driven culture within the company.
Requirements

We're looking for a candidate with at least 2-3 years of relevant industry experience, including 1-2 years with billing/finance knowledge. You should possess good communication skills, be proactive, independent, and result-oriented.

We're passionate about challenging billing and payments data problems and are looking for someone who is passionate about finding interesting insights and suggesting improvements. If you're a problem-solver with a knack for business analysis, we'd love to hear from you.

Must-haves include experience in a similar role, a degree in a quantitative discipline, proficiency in writing and optimizing SQL queries, and working knowledge with visualization tools. Excellent problem-solving, analytical, and critical thinking skills are a must, as well as good presentation skills and a proactive attitude.

Nice-to-haves include interest in Data Science and Machine Learning models, experience with cloud platforms, and fluency in multiple languages.


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