IIoT DATA & ANALYTICS EXPERT

We’re looking for a dynamic and reliable IIoT Data & Analytics Expert eager to grow in a fast-paced environment. The role involves data modeling, cloud integration, and smart device connectivity. Required skills: Python, Docker, network protocols, and automation standards. Join us to shape the future of industrial data.

Your Mission

• As a key member of the Advanced Data Analytics team, the IIoT Data & Analytics Expert plays a pivotal role in bridging industrial data with cloud-based intelligence;
• This position is responsible for the end-to-end process of data inspection, cleansing, transformation, and modeling; working closely with domain experts to deliver actionable insights through robust reporting and diagnostics;
• The expert ensures seamless data acquisition from smart devices such as cameras and sensors, defining the standards and requirements for connectivity to Sidel’s cloud infrastructure. With hands-on experience in Docker and containerization, the candidate will deploy and manage containers on embedded systems, validate data acquisition tools, and troubleshoot connectivity issues;
• Success in this role requires a strong foundation in network protocols, automation standards, and object-oriented programming (Python), along with proficiency in popular data analysis tools. The ideal candidate combines technical excellence with a collaborative mindset to drive innovation in industrial IoT and smart manufacturing.

Your Profile

• Strong skills in Docker, automation protocols, and embedded device development;
• Proven experience as a Data Analyst or Connectivity Expert in industrial environments;
• Proficient in Python, relational databases, and large-scale data management;
• Ability to translate business needs into clear, non-technical language;
• Experience in data cleansing, mining, and quality assurance;
• Skilled in designing reporting environments and generating multi-source reports;
• High-level communication skills and ability to train end-users;
• Capable of developing algorithms and flexible tools for ad hoc reporting;
• Experience handling confidential data and collecting user feedback;
• Ability to validate data acquisition tools and collaborate with suppliers;