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Analytics Engineer Intern

CDI
Saint-Cloud
Salaire : Non spécifié
Télétravail non autorisé

Kyriba
Kyriba

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Le poste

Descriptif du poste

Kyriba empowers CFOs, Treasurers, and their IT counterparts to transform treasury, payments, working capital, and connectivity solutions to activate liquidity as a dynamic, real-time vehicle for growth and value creation. Kyriba is a secure, scalable SaaS platform that leverages artificial intelligence, automates payments workflows, and enables thousands of multinational corporations and banks to maximize growth, protect against loss from fraud and financial risk, and reduce operational costs. With 2,000 clients worldwide, including 25% of Fortune 500 and Eurostoxx 50 companies, Kyriba manages more than 1.3 billion bank transactions per year, and 250 million payments for a total value of $15 Trillion annually. Kyriba is headquartered in San Diego, with offices in Dubai, Frankfurt, Londo, Paris, Shanghai, Singapore, Tokyo, Warsaw and other major locations. For more information, visit www.kyriba.com.

Role: 

We are seeking a highly motivated Analytics Engineer Intern to join our Data Team. The ideal candidate will have passion for data analysis, programming and statistics, and an interest in working on data-driven projects.

Key Responsibilities:

  • Onboard new business data in our Data Lake

  • Develop data pipelines in Databricks

  • Monitor data quality

  • Help design and implement data models and algorithms to support business decisions

  • Collaborate with cross-functional teams to understand business needs and develop data-driven solutions

  • Communicate results and recommendations to stakeholders in a clear and concise manner

  • Possibility to use statistical techniques to analyze data and identify trends, patterns and insights

  • Profile:

  • Currently in the final year of an engineering degree program

  • Programming skills in Python, SQL

  • Nice to have experience with Big Data processing framework like Spark or Flink

  • Strong analytical and problem-solving skills

  • Excellent communication and teamwork skills

  • Passion for working with data and a desire to learn and grow in the field of analytics.

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