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We connect and develop people with diverse talents all over the world. For you, this means a variety of ways to progress.

Not only your performance but also your personality matter to us, regardless of gender, age, ethnicity, orientation, and background.  At BASF, careers develop from opportunities. 

Asset Performance Monitoring & Manufacturing Data Analytics Engineer

Experience Required: 4–6 Years Designation- Assistant Manager

Location: BASF, Thane Department: Digitalization Reporting To: Manager

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