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 team. As a key member of our analytics department, you'll be responsible for supporting our 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.
  • Understand business needs and produce insightful, actionable insights.
  • Conceptualize, develop, and maintain dashboards and visualizations that inform both tactical and strategic decision making.
  • Collaborate with cross-functional teams (Product, Data Engineers, Data Scientists) to plan, facilitate, and develop Billing Analytics projects.
  • Enable self-service data exploration, making data standardized and easily accessible.
  • Collaborate with stakeholders to collect feedback, educate on new data solutions, and promote data culture within the company.
Requirements

We're looking for someone 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. You should have experience in a similar role and/or a degree in a quantitative discipline such as Engineering, Computer Science, Mathematics, Economics, or related field.

Proficiency in writing and optimizing SQL queries, specifically with MySQL and Redshift, is a must. Working knowledge with visualization tools (BigQuery, Tableau, Looker, Qlikview, etc.) and experience working with R or Python to perform business analysis are also required.

Excellent problem-solving, analytical, and critical thinking skills are essential, as well as good presentation skills in communicating to both experts and general audiences. Quality-driven, attention to detail, and pragmatic, you should be proactive and positive, self-organized, and an excellent team player.

Fluent spoken and written English is a must, and experience or exposure to cloud platforms such as AWS or Google Cloud is a nice to have.

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