Quality Data Analyst (Data Testing/ PowerBI/ SQL and Six Sigma/ Lean)

AtkinsRéalis

Bengaluru

On-site

INR 1,500,000 - 2,300,000

Full time

10 days ago

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Benefits offered by this job

Comprehensive life insurance coverage
Premium medical insurance for you and/
Generous annual leave balance
Flexible and hybrid work solutions
Relocation assistance
Discretionary bonus program
Employee Wellbeing Program

Job summary

AtkinsRéalis in Bengaluru seeks a Data-Driven Quality Analyst to monitor, analyze, and improve quality performance through data analytics, audits, and continuous improvement initiatives. You will collect data from projects, develop dashboards, and report on KPIs to boost operational efficiency and customer satisfaction.

The role collaborates with project teams and leadership to drive improvements, conducts quality reviews, and recommends corrective actions.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Business Analytics, or a related field.
  • Experience in Quality Assurance, Data Analytics, Process Improvement, or Project Governance.
  • Strong analytical and problem-solving skills.
  • Proficiency in Excel, Power BI, SQL, and data visualization tools.
  • Knowledge of quality frameworks, audit methodologies, and continuous improvement practices.
  • Excellent communication and stakeholder management skills.
  • Experience with root cause analysis and KPI reporting.
  • Improved quality compliance scores.

Responsibilities

  • Collect, validate, and analyze quality-related data from projects, processes, and systems.
  • Develop and maintain quality dashboards, KPIs, and performance reports.
  • Conduct quality audits and compliance reviews against organizational standards and procedures.
  • Identify trends, risks, defects, and root causes through data analysis.
  • Recommend corrective and preventive actions to improve quality performance.
  • Monitor adherence to quality processes and governance requirements.
  • Collaborate with project teams, business stakeholders, and leadership to drive continuous improvement.
  • Support quality reviews, lessons learned sessions, and process improvement initiatives.
  • Provide insights and recommendations using tools such as Excel, Power BI, SQL, or other analytics platforms.
  • Track and report quality metrics including rework, defect leakage, audit findings, compliance scores, and customer feedback.

Skills

Analytical skills
Problem solving
Data visualization
Stakeholder management
SQL

Education

Bachelor's degree in Engineering, Computer Science, Business Analytics, or related field

Tools

Excel
Power BI
SQL

Job description

Job Description Overview


A Data-Driven Quality Analyst is responsible for monitoring, analyzing, and improving quality performance through data analytics, process audits, and continuous improvement initiatives. The role focuses on identifying trends, ensuring compliance with quality standards, and providing actionable insights to enhance operational efficiency and customer satisfaction.


Your role


  • Collect, validate, and analyze quality-related data from projects, processes, and systems.

  • Develop and maintain quality dashboards, KPIs, and performance reports.

  • Conduct quality audits and compliance reviews against organizational standards and procedures.

  • Identify trends, risks, defects, and root causes through data analysis.

  • Recommend corrective and preventive actions to improve quality performance.

  • Monitor adherence to quality processes and governance requirements.

  • Collaborate with project teams, business stakeholders, and leadership to drive continuous improvement.

  • Support quality reviews, lessons learned sessions, and process improvement initiatives.

  • Provide insights and recommendations using tools such as Excel, Power BI, SQL, or other analytics platforms.

  • Track and report quality metrics including rework, defect leakage, audit findings, compliance scores, and customer feedback.


About you


  • Bachelors degree in Engineering, Computer Science, Business Analytics, or a related field.

  • Experience in Quality Assurance, Data Analytics, Process Improvement, or Project Governance.

  • Strong analytical and problem-solving skills.

  • Proficiency in Excel, Power BI, SQL, and data visualization tools.

  • Knowledge of quality frameworks, audit methodologies, and continuous improvement practices.

  • Excellent communication and stakeholder management skills.

  • Experience with root cause analysis and KPI reporting.

  • Improved quality compliance scores.



  • Reduction in defects and rework.

  • Increased process adherence and governance compliance.

  • Timely and accurate quality reporting.

  • Actionable insights leading to measurable business improvements.


Rewards & benefits


  • Comprehensive life insurance coverage.

  • Premium medical insurance for you and your dependents.

  • Generous annual leave balance.

  • Flexible and hybrid work solutions.

  • Remote work opportunities outside of country.

  • Company gratuity scheme.

  • Discretionary bonus program.

  • Relocation assistance.

  • Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.


Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.


About AtkinsR alis

Were AtkinsR alis , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the worlds infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. Were committed to leading our clients across our various end markets to engineer a better future for our planet and its people.


Find out more.


Worker Type Employee Job Type Regular


AtkinsR alis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

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