• Design, build, and maintain data architecture, ensuring the seamless flow and integration of data across various systems and platforms
  
• Develop and maintain Python scripts to automate data updates, quality checks, and data transformations, optimizing efficiency and accuracy
  
• Collaborate with stakeholders to understand their data requirements and translate them into actionable insights, KPIs, and business metrics
  
• Perform data analysis to identify trends, patterns, and opportunities for improvement, generating valuable insights to support business decision-making processes
  
• Contribute to the development and implementation of data-driven strategies, leveraging your understanding of both data analytics and business objectives
  
• Work closely with cross-functional teams such as IT, operations, and finance to ensure data governance, data integrity, and security
  
• Communicate data findings, insights, and recommendations in a clear and concise manner to both technical and non-technical stakeholders
  
• Stay up-to-date with new developments in data analysis, technology, and industry best practices, actively seeking opportunities for continuous learning and improvement
  
• Suggest new applications of AI and Machine Learning based on intimacy with data and operational processes

Requisiti

• Bachelor's degree in a relevant field such as Computer Science, Data Science, or a related discipline. A master's degree is a plus.
  
• Strong proficiency in Python and SQL, with experience in building and maintaining SQL-based data lakes and automating data processes using Python scripts.
  
• Solid understanding of data architecture principles, data modeling, and data integration techniques.
  
• Demonstrated experience in data analysis, extracting insights from complex datasets, and producing KPIs and business metrics.
  
• Excellent analytical skills with the ability to gather, assess, and interpret large volumes of data effectively.
  
• Strong business acumen and the ability to connect data insights with organizational goals and strategy.
  
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools is preferred.
  
• Exceptional attention to detail, problem-solving abilities, and the capacity to work independently and collaboratively in a fast-paced environment.

Benefit