Asset Performance and Manufacturing Data Analytics Engineer

BASF

Festanstellung

Datenanalyse, Prozessoptimierung, Projektmanagement

Bachelor

Nächstmöglicher Zeitpunkt

Deutsch

Navi Mumbai, Maharashtra, India



Job Summary:

We are seeking a highly skilled and motivated engineer to join our team in driving digital transformation across manufacturing operations. The ideal candidate will have hands-on experience in asset performance monitoring, predictive analytics, and manufacturing data analysis, with a strong foundation in Chemical or Mechanical Engineering. This role demands multitasking across various digital tools and cross-functional teams to ensure seamless integration and optimization of manufacturing processes. Strong presentation skills and a customer-centric approach are essential to effectively communicate insights and deliver value to stakeholders.

Key Responsibilities:

  • Implement and manage Asset Performance Monitoring (APM) solutions to improve equipment reliability and reduce downtime.
  • Analyze manufacturing process data to identify trends, anomalies, and opportunities for optimization.
  • Develop predictive models using historical and real-time data to support proactive maintenance strategies.
  • Collaborate with cross-functional teams including operations, maintenance, and IT to integrate analytics into decision-making processes.
  • Create dashboards and visualizations to communicate insights using tools like Power BI.
  • Support deployment and scaling of digital tools across multiple manufacturing sites.
  • Efficiently multitask across various platforms and projects to meet operational goals.
  • Present findings and recommendations clearly to technical and non-technical audiences.
  • Maintain a customer-centric mindset to ensure solutions align with business needs and operational goals.

Required Skills & Tools Proficiency:

  • APM Tools:
    • Aspen Mtell / Aveva PRiSM / GE Digital Predix APM
  • Manufacturing Data Analytics Tools:
    • SEEQ/TrendMiner
  • Industrial Data Historians:
    • Aspen IP.21 / OSIsoft PI System
  • Programming & Scripting:
    • Python / SQL
  • Visualization & Reporting:
    • Power BI
  • ERP Systems:
    • SAP PM (Plant Maintenance)
    • SAP MM (Materials Management)

Qualifications:

  • Bachelor’s degree in Chemical Engineering or Mechanical Engineering.
  • 4–6 years of relevant experience in manufacturing analytics, reliability engineering, or digital transformation.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Strong presentation and communication skills

Preferred Attributes:

  • Experience in chemical, petrochemical, or process industries.
  • Familiarity with industrial data historians like Aspen IP.21 and PI System.
  • Knowledge of machine learning techniques for predictive maintenance.
  • Ability to multitask and manage multiple digital initiatives simultaneously.
  • Customer-Centric approach

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