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    Job · 14234539

    Kantar logo

    Q2C Specialist

    Kantar · Gurugram · onsite · Posted 56d ago

    Undisclosed5–8 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Role Objective
    The SPC Engineer will be responsible for designing, deploying, and sustaining Statistical Process Control systems across IC Assembly and Test operations in a Greenfield OSAT facility.
    This role is critical to:
    • Establish process capability, stability, and predictability
    • Enable datadriven decision making
    • Prevent defects through early detection of process shifts
    • Support Automotive, Industrial, and Aerospace quality expectations
    Key Responsibilities
    1. SPC System Deployment (Greenfield Focus)
    • Lead endtoend SPC framework deployment for IC Assembly and Test processes.
    • Define critical process parameters, CTQs, and control characteristics.
    • Select and implement appropriate control charts (XbarR, XbarS, IMR, P, NP, C, U charts).
    • Establish sampling plans, subgrouping strategies, and reaction plans.
    2. Process Capability Stability
    • Perform Process Capability Analysis (Cp, Cpk, Pp, Ppk) during:
      • Tool qualification
      • Line qualification
      • NPI / New package rampup
    • Identify sources of common and special cause variation.
    • Drive process centering and variation reduction initiatives.
    3. Manufacturing Quality Integration
    • Work closely with Process Engineering, Production, Equipment, and QE teams.
    • Support control plan development and linkage to SPC controls.
    • Ensure SPC outputs are aligned with:
      • PFMEA
      • Control Plans
      • Customer requirements
    • Participate in daily Gemba, yield reviews, and excursion analysis.
    4. Data Analysis Digital SPC
    • Establish digital SPC dashboards and alerts (MES / SPC software / Excel / JMP / Minitab).
    • Monitor process trends and proactively flag:
      • Outofcontrol conditions
      • Capability degradation
    • Develop automated SPC reports for:
      • Management reviews
      • Customer audits
      • Certification audits
    5. Problem Solving Continuous Improvement
    • Lead statistical analysis during:
      • Process excursions
      • Customer complaints
      • Yield degradation
    • Apply structured methodologies:
      • SPC interpretation
      • DOE (basic intermediate)
      • 8D / DMAIC support
    • Drive sustainable corrective actions through data validation.
    6. Training Culture Building
    • Train operators, technicians, engineers, and supervisors on:
      • SPC concepts
      • Chart interpretation
      • Reaction plan execution
    • Build SPC discipline and data integrity culture on the shop floor.
    • Act as SPC Subject Matter Expert (SME) for the plant.
    7. Compliance Customer Expectations
    • Ensure SPC compliance to:
      • IATF 16949 / Automotive customer requirements
      • ISO 9001
      • AS9100 (where applicable)
    • Support customer audits, line walks, and SPC reviews.
    • Ensure proper linkage between SPC, MSA, Control Plans, and PFMEA.
    Key Skills Competencies
    Technical Skills
    • Strong understanding of:
      • SPC theory application
      • Control charts data interpretation
      • Process capability indices
    • Handson experience with:
      • Minitab / JMP / SPC software
      • Excelbased statistical analysis
    • Working knowledge of:
      • PFMEA
      • Control Plans
      • MSA (Gauge RR preferred)
      • Basic DOE
    Behavioral Leadership Skills
    • Strong analytical and statistical mindset
    • Ability to challenge processes using data, not assumptions
    • Effective communication with:
      • Operators
      • Engineers
      • Management
    • High ownership, structured thinking, and coaching capability
    Education Experience
    Education
    • Bachelors degree in:
      • Engineering (Electronics / Mechanical / Industrial / Mechatronics preferred)
      • Statistics / Applied Mathematics (with manufacturing exposure)
    Experience
    • 37 years of SPC / Quality Engineering experience in:
      • Semiconductor Assembly Test (preferred)
      • Electronics manufacturing / highvolume manufacturing
    • Exposure to greenfield setup, line rampup, or new product introduction is a strong advantage.
    Tools Systems Exposure
    • SPC / Statistical Tools: Minitab, JMP,Camline
    • Manufacturing systems: MES, Yield Management Systems
    • Quality systems: FMEA, Control Plan, NPI Quality
    Role Objective
    The SPC Engineer will be responsible for designing, deploying, and sustaining Statistical Process Control systems across IC Assembly and Test operations in a Greenfield OSAT facility.
    This role is critical to:
    • Establish process capability, stability, and predictability
    • Enable datadriven decision making
    • Prevent defects through early detection of process shifts
    • Support Automotive, Industrial, and Aerospace quality expectations
    Key Responsibilities
    1. SPC System Deployment (Greenfield Focus)
    • Lead endtoend SPC framework deployment for IC Assembly and Test processes.
    • Define critical process parameters, CTQs, and control characteristics.
    • Select and implement appropriate control charts (XbarR, XbarS, IMR, P, NP, C, U charts).
    • Establish sampling plans, subgrouping strategies, and reaction plans.
    2. Process Capability Stability
    • Perform Process Capability Analysis (Cp, Cpk, Pp, Ppk) during:
      • Tool qualification
      • Line qualification
      • NPI / New package rampup
    • Identify sources of common and special cause variation.
    • Drive process centering and variation reduction initiatives.
    3. Manufacturing Quality Integration
    • Work closely with Process Engineering, Production, Equipment, and QE teams.
    • Support control plan development and linkage to SPC controls.
    • Ensure SPC outputs are aligned with:
      • PFMEA
      • Control Plans
      • Customer requirements
    • Participate in daily Gemba, yield reviews, and excursion analysis.
    4. Data Analysis Digital SPC
    • Establish digital SPC dashboards and alerts (MES / SPC software / Excel / JMP / Minitab).
    • Monitor process trends and proactively flag:
      • Outofcontrol conditions
      • Capability degradation
    • Develop automated SPC reports for:
      • Management reviews
      • Customer audits
      • Certification audits
    5. Problem Solving Continuous Improvement
    • Lead statistical analysis during:
      • Process excursions
      • Customer complaints
      • Yield degradation
    • Apply structured methodologies:
      • SPC interpretation
      • DOE (basic intermediate)
      • 8D / DMAIC support
    • Drive sustainable corrective actions through data validation.
    6. Training Culture Building
    • Train operators, technicians, engineers, and supervisors on:
      • SPC concepts
      • Chart interpretation
      • Reaction plan execution
    • Build SPC discipline and data integrity culture on the shop floor.
    • Act as SPC Subject Matter Expert (SME) for the plant.
    7. Compliance Customer Expectations
    • Ensure SPC compliance to:
      • IATF 16949 / Automotive customer requirements
      • ISO 9001
      • AS9100 (where applicable)
    • Support customer audits, line walks, and SPC reviews.
    • Ensure proper linkage between SPC, MSA, Control Plans, and PFMEA.
    Key Skills Competencies
    Technical Skills
    • Strong understanding of:
      • SPC theory application
      • Control charts data interpretation
      • Process capability indices
    • Handson experience with:
      • Minitab / JMP / SPC software
      • Excelbased statistical analysis
    • Working knowledge of:
      • PFMEA
      • Control Plans
      • MSA (Gauge RR preferred)
      • Basic DOE
    Behavioral Leadership Skills
    • Strong analytical and statistical mindset
    • Ability to challenge processes using data, not assumptions
    • Effective communication with:
      • Operators
      • Engineers
      • Management
    • High ownership, structured thinking, and coaching capability
    Education Experience
    Education
    • Bachelors degree in:
      • Engineering (Electronics / Mechanical / Industrial / Mechatronics preferred)
      • Statistics / Applied Mathematics (with manufacturing exposure)
    Experience
    • 37 years of SPC / Quality Engineering experience in:
      • Semiconductor Assembly Test (preferred)
      • Electronics manufacturing / highvolume manufacturing
    • Exposure to greenfield setup, line rampup, or new product introduction is a strong advantage.
    Tools Systems Exposure
    • SPC / Statistical Tools: Minitab, JMP,Camline
    • Manufacturing systems: MES, Yield Management Systems
    • Quality systems: FMEA, Control Plan, NPI Quality

    Sourced from naukri

    Skills

    Cyberbusiness processfinance functionCash Allocationenterprise resource planningRevenue Recognitionmental healthERPStakeholder ManagementoperationsFinancial OperationsAdministrationWordAccountingfinance

    About Kantar

    Kantar logo

    Kantar

    Analytics & KPO

    6.5k+

    employees

    2008

    18 years old

    London, London

    United Kingdom (UK)

    About

    Kantar is the world's leading data, insights, and consulting company. They help clients understand people and inspire growth, and our innovative approach to market research.

    Industries

    Analytics & KPOConsultingMedia & Entertainment / Publishing

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    Culture

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