Billing Data Analyst
Hace 16 horas
málaga, andalusia, España
Ruby Labs Ltd
Jornada completa
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
About Us Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer‑led products, and we’re always looking for passionate individuals to join us. Learn more about our story at: The Role We are seeking a Billing Data Analyst to join our Billing and Data team. You will play a key role in analyzing financial performance, billing behavior, risk trends, and support operations. Your work will help drive better decision‑making, reduce financial risks, and improve billing efficiency across all products. This role combines analytical rigor, statistical thinking, and cross‑functional collaboration.
Key Responsibilities Monitor, analyze, and report on key billing and support performance indicators and emerging trends.
Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery.
Apply statistical methods to project scenarios, assess “what‑if” outcomes, and anticipate financial risks.
Run A/B tests and experiments to evaluate billing and support strategies.
Collaborate with cross‑functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk‑mitigation goals.
Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics.
Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies.
Document analyses, workflows, and data logic to ensure clarity and consistency.
Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support.
Strong SQL skills.
Experience with popular BI tools such as Tableau, Looker, or similar
Experience with Python or R
Solid understanding of statistical analysis, forecasting, and scenario modeling.
Experience running A/B tests and interpreting experiment results.
Excellent problem‑solving skills, attention to detail, and ability to work in a fast‑paced environment.
Strong communication skills, with the ability to explain findings to both technical and non‑technical stakeholders.
Curiosity, ownership mindset, and the discipline to maintain high‑quality data work.
Nice to have Experience with BigQuery, ClickHouse, or any cloud data warehouse.
Basic Python knowledge for data cleaning or simple analysis.
Exposure to subscription businesses or
Key Responsibilities Monitor, analyze, and report on key billing and support performance indicators and emerging trends.
Build and maintain data pipelines to ensure accurate, timely, and reliable data delivery.
Apply statistical methods to project scenarios, assess “what‑if” outcomes, and anticipate financial risks.
Run A/B tests and experiments to evaluate billing and support strategies.
Collaborate with cross‑functional teams (Billing, Support, Finance, Product, Marketing) to align processes with risk‑mitigation goals.
Analyze the impact of marketing and product changes on billing outcomes, risk behavior, and customer support metrics.
Provide actionable recommendations to improve billing performance and reduce disputes, churn, and operational inefficiencies.
Document analyses, workflows, and data logic to ensure clarity and consistency.
Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
Experience as a Data Analyst, ideally within fintech, subscription products, billing, or customer support.
Strong SQL skills.
Experience with popular BI tools such as Tableau, Looker, or similar
Experience with Python or R
Solid understanding of statistical analysis, forecasting, and scenario modeling.
Experience running A/B tests and interpreting experiment results.
Excellent problem‑solving skills, attention to detail, and ability to work in a fast‑paced environment.
Strong communication skills, with the ability to explain findings to both technical and non‑technical stakeholders.
Curiosity, ownership mindset, and the discipline to maintain high‑quality data work.
Nice to have Experience with BigQuery, ClickHouse, or any cloud data warehouse.
Basic Python knowledge for data cleaning or simple analysis.
Exposure to subscription businesses or