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Senior Machine Learning Operation Analyst

NielsenIQ

Senior Machine Learning Operation Analyst

full-timePosted: Jan 20, 2026

Job Description

Description

Summary 

Are you passionate about bridging the gap between data science and production? We’re looking for a Senior MLOps Analyst to join our NiQ Tech & Durable Global Data Science team. You’ll be based in Kuala Lumpur (no travel required) and work closely with data scientists, engineers, and product teams to make sure our ML systems are running smoothly, scaling smartly, and always getting better. If you're into automation, monitoring, and making ML work in the real world, and if you enjoy learning and collaborating, this role is for you. 

What You’ll Do 

  • Monitor & Optimize ML Models: Build and maintain systems to track model performance and output quality. 

  • Automate & Scale: Simplify and automate workflows around data pipelines and model serving. 

  • Collaborate Cross-Functionally: Work with data scientists, engineers, analysts, and product teams in global cross-functional teams. 

  • Troubleshoot & Improve: Deep-dive into ML systems to identify issues, implement quick fixes, and propose long-term solutions. 

  • Champion Best Practices: Promote code quality, monitoring standards, and MLOps excellence across teams. 

  • Share & Grow: Contribute to internal Communities of Practice and take advantage of training, mentorship, and cross-functional projects. 

Tech Stack You’ll Work With 

  • Languages & Tools: Python, SQL, GitLab, MS Excel 

  • Monitoring & Visualization: Kibana, Grafana, OpenSearch, Looker 

  • Workflow & Deployment: Docker, Kubernetes, Airflow, Kubeflow 

  • Cloud Platform: GCP 

  • Automation: Power Automate 

 

Qualifications

Must-Haves 

  • 4+ years of relevant work experience  

  • Strong skills in SQL and Python 

  • Experience with monitoring tools (e.g. Kibana, Grafana, OpenSearch, Looker or similar) 

  • Familiarity with version control tools (GitLab, GitHub) 

  • Solid understanding of ML lifecycle and model performance metrics 

  • Undergraduate (BSc.) degree in computer science, mathematics, or some related field 

  • Excellent stakeholder management and communication skills to align technical solutions with business needs.  

  • Ability to work independently and asynchronously as part of a distributed team 

  • Professional working proficiency in English 

Nice-to-Haves 

  • Experience with cloud platforms (AWS, GCP, Azure) 

  • Knowledge of containerization and orchestration (Docker, Kubernetes) 

  • Exposure to workflow orchestration tools (Airflow, Kubeflow) 

  • Prior experience in market research, pricing, revenue assurance, media consumption patterns is valuable but not mandatory 

Additional Info

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Hybrid work

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Locations

  • Unit 18.01 & Unit 18.02, Level 18, Mercu 3 KL Eco City, No.3 Jalan Bangsar, Kuala Lumpur, 14, Malaysia

Salary

Estimated Salary Rangemedium confidence

65,000 - 95,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Analysisintermediate
  • Market Researchintermediate
  • Consumer Intelligenceintermediate
  • Excelintermediate
  • Problem Solvingintermediate

Required Qualifications

  • Degree in Business, Data Science or related (experience)
  • Experience in market research or consulting (experience)
  • Analytical mindset (experience)

Responsibilities

  • Analyze consumer buying behavior
  • Develop market insights
  • Deliver client presentations
  • Collaborate with cross-functional teams
  • Manage data-driven projects

Benefits

  • general: Comprehensive Health Benefits
  • general: Professional Development
  • general: Flexible Work Culture
  • general: Employee Assistance Program

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NielsenIQ logo

Senior Machine Learning Operation Analyst

NielsenIQ

Senior Machine Learning Operation Analyst

full-timePosted: Jan 20, 2026

Job Description

Description

Summary 

Are you passionate about bridging the gap between data science and production? We’re looking for a Senior MLOps Analyst to join our NiQ Tech & Durable Global Data Science team. You’ll be based in Kuala Lumpur (no travel required) and work closely with data scientists, engineers, and product teams to make sure our ML systems are running smoothly, scaling smartly, and always getting better. If you're into automation, monitoring, and making ML work in the real world, and if you enjoy learning and collaborating, this role is for you. 

What You’ll Do 

  • Monitor & Optimize ML Models: Build and maintain systems to track model performance and output quality. 

  • Automate & Scale: Simplify and automate workflows around data pipelines and model serving. 

  • Collaborate Cross-Functionally: Work with data scientists, engineers, analysts, and product teams in global cross-functional teams. 

  • Troubleshoot & Improve: Deep-dive into ML systems to identify issues, implement quick fixes, and propose long-term solutions. 

  • Champion Best Practices: Promote code quality, monitoring standards, and MLOps excellence across teams. 

  • Share & Grow: Contribute to internal Communities of Practice and take advantage of training, mentorship, and cross-functional projects. 

Tech Stack You’ll Work With 

  • Languages & Tools: Python, SQL, GitLab, MS Excel 

  • Monitoring & Visualization: Kibana, Grafana, OpenSearch, Looker 

  • Workflow & Deployment: Docker, Kubernetes, Airflow, Kubeflow 

  • Cloud Platform: GCP 

  • Automation: Power Automate 

 

Qualifications

Must-Haves 

  • 4+ years of relevant work experience  

  • Strong skills in SQL and Python 

  • Experience with monitoring tools (e.g. Kibana, Grafana, OpenSearch, Looker or similar) 

  • Familiarity with version control tools (GitLab, GitHub) 

  • Solid understanding of ML lifecycle and model performance metrics 

  • Undergraduate (BSc.) degree in computer science, mathematics, or some related field 

  • Excellent stakeholder management and communication skills to align technical solutions with business needs.  

  • Ability to work independently and asynchronously as part of a distributed team 

  • Professional working proficiency in English 

Nice-to-Haves 

  • Experience with cloud platforms (AWS, GCP, Azure) 

  • Knowledge of containerization and orchestration (Docker, Kubernetes) 

  • Exposure to workflow orchestration tools (Airflow, Kubeflow) 

  • Prior experience in market research, pricing, revenue assurance, media consumption patterns is valuable but not mandatory 

Additional Info

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Hybrid work

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Locations

  • Unit 18.01 & Unit 18.02, Level 18, Mercu 3 KL Eco City, No.3 Jalan Bangsar, Kuala Lumpur, 14, Malaysia

Salary

Estimated Salary Rangemedium confidence

65,000 - 95,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Analysisintermediate
  • Market Researchintermediate
  • Consumer Intelligenceintermediate
  • Excelintermediate
  • Problem Solvingintermediate

Required Qualifications

  • Degree in Business, Data Science or related (experience)
  • Experience in market research or consulting (experience)
  • Analytical mindset (experience)

Responsibilities

  • Analyze consumer buying behavior
  • Develop market insights
  • Deliver client presentations
  • Collaborate with cross-functional teams
  • Manage data-driven projects

Benefits

  • general: Comprehensive Health Benefits
  • general: Professional Development
  • general: Flexible Work Culture
  • general: Employee Assistance Program

Target Your Resume for "Senior Machine Learning Operation Analyst" , NielsenIQ

Get personalized recommendations to optimize your resume specifically for Senior Machine Learning Operation Analyst. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Machine Learning Operation Analyst" , NielsenIQ

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score
Quiz Challenge

Answer 10 quick questions to check your fit for Senior Machine Learning Operation Analyst @ NielsenIQ.

10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.