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IB

Quality Analyst (Six Sigma Green/Black Belt Preferred)

IBM

Bengaluru, Karnataka, India Posted Oct 17

Full-timeOn-site0-1 Yrs

About the job

The Quality Analyst will be responsible for driving quality assurance and continuous improvement across supply chain and service delivery operations using the Process Maturity Assessment (PMA) framework. The role focuses on monitoring, analyzing, and improving process quality, compliance, and performance, while leveraging Lean Six Sigma principles to deliver measurable business outcomes and enhance customer experience.

Key Responsibilities

1. Quality Monitoring & PMA Framework Execution

  • Implement and manage the Prepare–Monitor–Act (PMA) quality framework

    • Prepare: Define quality standards, sampling plans, scoring criteria, and audit guidelines

    • Monitor: Conduct periodic audits, track defects, and evaluate SLA adherence

    • Act: Drive corrective and preventive actions, including coaching and process improvements

  • Ensure adherence to SOPs, compliance standards, and process governance

2. Process Quality Assurance

  • Perform transaction-level quality audits across supply chain processes (Order Management, Provisioning, Logistics, Fulfillment)

  • Track and improve:

    • First-time-right performance

    • Transaction accuracy

    • SLA compliance

    • Defect leakage and rework

  • Identify gaps through quality scorecards and trend analysis

3. Continuous Improvement & Six Sigma Initiatives

  • Apply Lean Six Sigma methodologies (DMAIC) to identify root causes of defects and inefficiencies

  • Lead or support Black Belt / Green Belt projects to:

    • Reduce cycle time and rework

    • Improve process capability and consistency

    • Enhance productivity and service quality

  • Conduct root cause analysis (RCA), FMEA, and value stream mapping

4. Data Analysis & Insights

  • Analyze operational data such as defects, delays, and SLA breaches to derive actionable insights

  • Develop dashboards and reports (Power BI / Excel) for:

    • Quality trends

    • Performance metrics

    • Improvement opportunities

  • Provide recommendations for process re-engineering and automation

5. Stakeholder Collaboration

  • Work closely with delivery teams, transformation teams, and stakeholders to:

    • Define quality benchmarks and KPIs

    • Share audit findings and improvement plans

    • Drive accountability for quality performance

  • Participate in governance forums and present insights to leadership

6. Capability Building & Coaching

  • Coach operations teams on:

    • Quality standards and audit expectations

    • Lean Six Sigma fundamentals

    • Error prevention techniques

  • Support maturity progression from Aware → Developing → Practicing → Optimizing → Leading

7. Transformation & Automation Enablement

  • Identify opportunities for automation and digitization in quality monitoring

  • Collaborate with digital/IT teams to implement tools and solutions (RPA, workflow tools)

  • Support continuous evolution of the PMA framework

Key Skills & Competencies

  • Strong knowledge of quality assurance frameworks and audit methodologies

  • Expertise in Lean Six Sigma tools (DMAIC, RCA, Control Charts, FMEA)

  • Analytical mindset with strong data interpretation skills

  • Understanding of supply chain / telecom operations lifecycle

  • Strong stakeholder management and communication skills

  • Problem-solving and continuous improvement mindset

Requirements

Preferred Experience

  • Experience in Telecom / supply chain operations

  • Exposure to PMA or similar quality maturity frameworks

  • Knowledge of tools such as:

    • Power BI / Excel

    • Minitab

    • ServiceNow / SAP / Order Management systems

Key Performance Indicators (KPIs)

  • Quality scores and defect reduction

  • SLA adherence and audit compliance

  • Reduction in rework and process variability

  • Improvement in process maturity levels

  • Successful delivery of improvement initiatives

Value Contribution

  • Enhances quality, compliance, and process maturity

  • Drives continuous improvement and operational excellence

  • Improves customer experience and delivery consistency

Supports data-driven decision-making and transformation goals

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