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Data Analyst

2 mesi fa

Gorgonzola, Lombardia, Italia Thales A tempo pieno
About the Role

We are seeking a highly skilled and motivated Data Analyst to join our Operations team at Thales. As a Data Analyst, you will play a critical role in building and maintaining our data infrastructure, with a focus on automating data updates and ensuring the reliability and accuracy of our SQL-based data lake.

Key Responsibilities
  • Design, build, and maintain our 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.
Requirements
  • 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.
  • Excellent communication and presentation skills to convey technical concepts to both technical and non-technical stakeholders.
  • Strong organizational skills with the ability to prioritize tasks and manage multiple projects simultaneously.
Soft Skills
  • Proactivity, independence, and creativity in solving problems.
  • Strong analysis and critical thinking skills.
  • An ability to turn ideas and initiatives into projects.
  • A flexible approach to work and an agile work style.
  • Target-oriented.
  • Willing to learn and attention to details.