Data Analyst

hace 2 meses

Madrid Centro, Madrid, España Ebury A tiempo completo
Data Scientist - Growth - Fintech

Ebury is seeking a skilled Data Scientist to collaborate with our Analytics team in Madrid. As a key member of our team, you will work closely with business stakeholders to deliver data-driven insights that drive growth across multiple verticals.

Key Responsibilities:

  • Develop and refine models for sales enablement and growth, leveraging Python to drive better sales performance and decision-making.
  • Collaborate with Data Engineers and Sales Analysts to integrate models into sales enablement platforms, ensuring the delivery of actionable insights to sales teams and stakeholders.
  • Analyse and optimise sales data to identify patterns, trends, and opportunities that enhance lead scoring and sales strategies, contributing to overall business growth.
  • Support the adoption of advanced analytics tools within the sales team, providing guidance on model outputs, while working closely with senior data scientists for continuous improvement and learning.

Requirements:

  • Proficiency in Python and experience with machine learning libraries.
  • Solid understanding of statistical methods and econometric models, with the ability to interpret model results and assess their performance.
  • Excellent communication and collaboration skills, with the ability to work closely with data engineers, analysts, and business stakeholders to translate complex data insights into actionable business strategies.
  • Experience in collaborating with cross-functional teams, including Data Engineers, Sales Analysts, and business stakeholders, to ensure models align with business objectives.
  • Problem-solving mindset with the ability to identify data-driven solutions to sales and growth challenges, helping optimize sales strategies and decision-making processes.

Desirable Skills:

  • Experience with GCP tools and services, such as BigQuery, AI Platform, and Cloud Functions, for deploying scalable data solutions.
  • Experience with A/B testing or experimentation frameworks is a plus, particularly for optimising sales strategies based on model performance.
  • Knowledge of sales analytics and CRM systems, understanding how data insights can improve lead quality and sales outcomes.

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