AI Analyst
SUPERIOR POLAND EUROPE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Stalowa Wola
Do uzgodnienia
Wymagania
- Python
- SQL
- Excel
Opis stanowiska
Nasze wymagania:
QUALIFICATIONS:
• Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, or related field
• Experience in data analytics, AI/ML, or related technical role (internships acceptable)
• Basic understanding of machine learning concepts and data analysis techniques
• Experience with tools such as Python, SQL, Excel, or similar data/analytics platforms
• Exposure to visualization tools (Power BI, Tableau, or similar) preferred
• Must be able to read, speak, and write English at a professional working level
• Strong analytical and problem-solving skills
• Ability to work in a cross-functional, fast-paced environment
PREFFERED SKILLS:
• Familiarity with manufacturing or industrial processes (nice to have)
• Exposure to cloud platforms (Azure, AWS, or GCP)
• Basic understanding of automation tools (Power Automate, scripting, etc.)
• Interest in applying AI to operational efficiency and plant performance
KEY COMPETENCIES:
• Strong curiosity and willingness to learn
• Ability to translate business problems into analytical approaches
• Effective communication with both technical and non-technical stakeholders
• Team-oriented mindset with hands-on approach
SUCCESS MEASURES:
• Contribution to successful AI pilot initiatives in plants
• Ability to identify and support scalable use cases
• Improvement in operational insights and decision-making
• Adoption of AI-driven solutions by business stakeholders
Zakres obowiązków:
Support delivery of AI and automation projects aligned with business and plant priorities
Collaborate with Plant Operations, Engineering, Quality, Business Teams and IT teams to identify AI use cases (e.g., predictive maintenance, quality analytics, process optimization)
Assist in data collection, cleansing, and preparation for AI models and analytics solutions
Analyze operational datasets to identify trends, anomalies, and improvement opportunities
Help develop and validate basic machine learning models, dashboards, and automation workflows
Participate in pilot programs and Proof-of-Concept (PoC) initiatives within plant environments
Document AI models, processes, and outcomes for knowledge sharing and scalability
Support ongoing monitoring and maintenance of deployed AI solutions
Stay current with emerging AI tools and technologies relevant to manufacturing
Oferujemy:
A dynamic and innovative work environment in an international company in the automotive industry
A multicultural and international work environment
A package of attractive benefits (Private Health Care, Life Insurance, MultiSport Cards)
Hybrid work model
QUALIFICATIONS:
• Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, or related field
• Experience in data analytics, AI/ML, or related technical role (internships acceptable)
• Basic understanding of machine learning concepts and data analysis techniques
• Experience with tools such as Python, SQL, Excel, or similar data/analytics platforms
• Exposure to visualization tools (Power BI, Tableau, or similar) preferred
• Must be able to read, speak, and write English at a professional working level
• Strong analytical and problem-solving skills
• Ability to work in a cross-functional, fast-paced environment
PREFFERED SKILLS:
• Familiarity with manufacturing or industrial processes (nice to have)
• Exposure to cloud platforms (Azure, AWS, or GCP)
• Basic understanding of automation tools (Power Automate, scripting, etc.)
• Interest in applying AI to operational efficiency and plant performance
KEY COMPETENCIES:
• Strong curiosity and willingness to learn
• Ability to translate business problems into analytical approaches
• Effective communication with both technical and non-technical stakeholders
• Team-oriented mindset with hands-on approach
SUCCESS MEASURES:
• Contribution to successful AI pilot initiatives in plants
• Ability to identify and support scalable use cases
• Improvement in operational insights and decision-making
• Adoption of AI-driven solutions by business stakeholders
Zakres obowiązków:
Support delivery of AI and automation projects aligned with business and plant priorities
Collaborate with Plant Operations, Engineering, Quality, Business Teams and IT teams to identify AI use cases (e.g., predictive maintenance, quality analytics, process optimization)
Assist in data collection, cleansing, and preparation for AI models and analytics solutions
Analyze operational datasets to identify trends, anomalies, and improvement opportunities
Help develop and validate basic machine learning models, dashboards, and automation workflows
Participate in pilot programs and Proof-of-Concept (PoC) initiatives within plant environments
Document AI models, processes, and outcomes for knowledge sharing and scalability
Support ongoing monitoring and maintenance of deployed AI solutions
Stay current with emerging AI tools and technologies relevant to manufacturing
Oferujemy:
A dynamic and innovative work environment in an international company in the automotive industry
A multicultural and international work environment
A package of attractive benefits (Private Health Care, Life Insurance, MultiSport Cards)
Hybrid work model
🔍 Dekoder Ogłoszenia
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Support delivery of AI
Twoja rola będzie polegać głównie na pomocy w realizacji projektów AI, a nie na ich samodzielnym tworzeniu czy kierowaniu.
🔴
Ability to work in a cross-functional, fast-paced environment
Spodziewaj się pracy w zespole z różnymi działami, gdzie tempo pracy jest wysokie i może wymagać szybkiego dostosowywania się do zmian.
🟡
Hands-on approach
Oczekuje się, że będziesz aktywnie uczestniczyć w wykonywaniu zadań, a nie tylko nadzorować lub delegować.
🔴
Strong curiosity and willingness to learn
Firma może nie oferować rozbudowanych szkoleń, a oczekuje, że będziesz samodzielnie zdobywać wiedzę i umiejętności.
🟡
Basic understanding of machine learning concepts and data analysis techniques
Wymagania dotyczące wiedzy teoretycznej są minimalne, co może sugerować, że większość nauki odbędzie się w praktyce.