The Reference Data Specialist (RD PH) is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

Job description

The data analyst will play a key role in defining, creating, and delivering powerful interactions data for a substantial part of our business and will partner closely with multiple business partners to provide data and insights to drive operational improvements. This is a critical role that will enable and support our global data and business intelligence strategy. The data analyst will be able to embrace and drive change and to lead global cross-functional data-related projects as well as being data savvy, technically minded and capable of quickly gaining a deep knowledge and understanding of Experian’s wide-ranging systems landscape as well as continually evolving complex data hierarchies, reporting structures and business intelligence requirements and priorities.

The Data Processing Specialist is responsible for data coding and data input validation focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health, and Beauty Products). As a Data Processing Specialist at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner. This role is to support New Zealand market (CI). 

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

The Sustainability Data & Energy Analyst plays a critical role in analyzing, forecasting, and optimizing the company’s energy usage, utility spend, and sustainability performance. This position leads complex data modeling, energy performance analysis, and reporting initiatives that support cost reduction, operational efficiency, carbon reduction strategies, and regulatory compliance. The ideal candidate combines strong technical analytics skills with deep knowledge of energy systems, utility data, emissions accounting and ability to communicate effectively with a wide range of colleagues, from facilities technicians to senior leaders.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

1. Energy & Utility Data Analytics

• Collect, clean, and analyze utility and resource consumption data across facilities, assets, and operations. Resources to include, at a minimum, fuels, gases, chemicals, water, waste and energy.
• Develop dashboards, performance indicators, and analytics tools to monitor energy and resource consumption, trends, anomalies, and savings opportunities.
• Conduct variance analysis, cost modeling, and root‑cause investigations of energy performance deviations.
• Identify and quantify energy efficiency opportunities, load optimization strategies, and cost‑saving programs.
• Develop and deliver effective data-related trainings to ensure high fidelity incoming data. Conduct spot checks and check-ins with employees across global sites to confirm uptake and understanding.

2. Forecasting & Modeling

• Build and support modelling for Scopes 1, 2, 3, water and waste goals, configure models to ensure dynamic conditions are incorporated, assumptions documented, and risks to performance are evident and monitored.
• Build and maintain forecasting models for Scopes 1, 2, 3 and water, and waste.
• Build and maintain energy forecasting models for electricity, fuel, thermal energy, and peak demand, incorporating traditional and clean energy sources.
• Support financial planning with energy budget models, scenario analysis, and rate/tariff evaluations.
• Evaluate the financial and operational impacts of energy price fluctuations, weather patterns, utility programs, and operational changes.

3. Sustainability & Emissions Accounting

• Manage greenhouse gas (GHG) emissions calculation across Scopes 1, 2, and relevant Scope 3 categories.
• Prepare energy, emissions, and resource consumption data for corporate sustainability reporting (e.g., CDP, GRI, TCFD, ISSB, CSRD).
• Analyze the energy and emissions impacts of operational initiatives, equipment upgrades, and renewable energy projects.
• Develop standardized tools to direct site-level environmental accounting and reporting; whether SaaS, homegrown, or hybrid tools

4. Third-party Assurance and Audit Support

• Prepare audit‑ready datasets, documentation, evidence, and data dictionaries for energy and GHG emissions assurance reviews.
• Serve as a key liaison between external auditors/assurance providers and internal teams.
• Support walkthroughs, sampling, and testing procedures by providing source data, calculations, and methodological explanations.
• Maintain traceable audit trails, version control, and documentation to meet assurance requirements (limited or reasonable assurance).
• Implement auditor feedback to strengthen internal controls and improve future assurance readiness.
• Assist in annual internal reviews of data processes, methodologies, and system controls to reduce audit findings and risks.

5. Energy Systems & Operations Support

• Partner with operations, facilities, engineering, and procurement to improve energy performance and optimize systems.
• Analyze performance of HVAC, lighting, manufacturing equipment, motors/drives, and building automation systems at a global level. Support site teams as appropriate.
• Support the assessment and validation of energy conservation measures and capital projects.
• Evaluate clean energy and onsite generation opportunities (solar, storage, microgrids, fuel switching, etc.). Partner with site facility teams to explore and evaluate opportunities in-country/region.

6. Data Engineering & Digital Tools

• Develop and maintain data pipelines, automation scripts, and analytics models using SQL, Python, BI tools.
• Manage energy data systems and platforms (e.g., Power BI/Tableau).
• Understand, support, and implement data governance improvements, quality control processes, and documentation standards. With Data Governance manager, conduct periodic reviews of governance model effectiveness and efficiency.
• Drive in-house automation initiatives across Manufacturing EPU, including data workflows, crew operations, and EHS monitoring systems.
• Collaborate with the Data Automation Team to design and deploy digital tools that streamline operational reporting, automate manual data collection, and improve real-time visibility of manufacturing performance.
• Support automation pathways for renewable energy and Carbon-Free Energy (CFE) allocation based on customer demand, enabling efficient energy utilization through digital systems and process automation.

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.   

• Support Internal and External Clients with the understanding of Data Science design and methodology.  

• Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions.  

• Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.  

• Understand Nielsen products and services to suggest innovative solutions for client challenges.  

• Collaborate with other Data Science team units.  

•  Automate and develop solutions for existing processes.  

•  Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. 

About you  

You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what is happening in big data and you are ready to influence what is next.  

1. Develop and execute SQL scripts to generate test data for Telco core systems, including sim packs and other relevant data sets.
2. Possess a deep understanding of Telco core systems to ensure accurate and comprehensive test data creation across multiple platforms.
3. Collaborate with cross-functional teams to gather requirements for test data and ensure alignment with testing objectives.
4. Implement and maintain data masking techniques to ensure data privacy and security compliance.
5. Collaborate with software engineers and quality assurance teams to analyze test data requirements and provide timely solutions.
6. Perform data validation and verification to ensure the accuracy and reliability of generated test data.
7. Troubleshoot and resolve any issues related to test data generation, collaborating with relevant stakeholders as needed.
8. Stay abreast of industry trends and best practices in test data management and automation.
9. Contribute to the development and improvement of test data management processes and tools.

1. Proficiency in SQL scripting for test data creation and manipulation.
2. Strong understanding of Telco core systems and associated protocols.
3. Experience in creating and managing sim packs for Telco testing.
4. Knowledge of data masking techniques and data privacy regulations.
5. Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
6. Strong problem-solving skills and attention to detail.
7. Familiarity with testing methodologies and best practices.
8. Bachelor's degree in a relevant field or equivalent work experience.
9. Excellent organizational and time-management skills.

Jacobs Douwe Egberts Research and Development (R&D) is part of the Global JDE organization. R&D is the major contributor to the development of innovative coffee, tea, cereal and NDC products and is constantly optimizing the product portfolio. Focus of R&D is on building technology platforms, new products, portfolio renovations and productivity initiatives. Projects are carried out together with Marketing, Operations and Procurement delivering Product and Packaging Specifications which are the single most critical output of R&D.

The PLM Specialist reports into the PLM Team Lead. They are responsible for maintenance of an effective and efficient specification system for product lifecycle management. They support the R&D team in their work developing new specifications. They are a data custodian and thanks to their actions the PLM system is trustworthy and data contained therein is a strategic R&D asset. This individual is responsible for part of the total portfolio and is expected to become the subject-matter expert for their area of the PLM system.

• Typical project portfolio: Multiple activities across all aspects of the Product / Pack portfolio
• Financial risk: Moderate – Role responsible for maintenance not creation of new specification data. Technical rigour is however critical to ensure data integrity and security.
• Geographical Scope: varies

The PLM Specialist is part of the team responsible for the maintenance of the PLM system within APAC and will support the implementation of the new PLM Software. You will be responsible for assuring quality and trust in the data and be the first point of contact for data-related questions in your field. You will work closely with R&D developers and PLM users to maintain PLM data flow throughout the specification lifecycle, enrich data, provide feedback to users and drivesystem improvement. You are the PLM data custodian, and thanks to your action, the PLM system is trustworthy and data used as a strategic R&D asset.

This requires technical rigor, attention to detail and a relentless drive for completion with excellence. This role plays a critical role in the maintenance, protection and utilisation of a critical R&D asset (our recipe know-how and IP). This role is responsible for ensuring compliance with company policies and procedures related to specifications, leveraging best in class practices throughout all R&D activities and helping to support speed to market.

• Support the implementation of the new PLM Software, user acceptance test and user support

• Ensure successful migration of the data into the new PLM software: migration, validation, completeness

• Collaborate with specification creators within your area of responsibility, to guarantee the completeness and accuracy of product data until product retirement

• Ensure the maintenance of the product data (new data entry, parameter updates, new requirements)

• Monitor data quality periodically, raise gaps and coordinate issue resolution

• With guidance from manager, drive PLM system continuous improvement (design, workflow, data quality)

• Support PLM users about data extraction and reporting

• Act as data custodian and make PLM the system loved by the users and fun

• Communicate and support best practice PLM completion with APAC applications teams for all categorie

• Reports to Manager on a weekly basis highlighting risks/issues and resolution plans

• Other tasks/duties as assigned by the Manager

This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Processing Specialist of Input Validation function at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

Get to Know the Team

The Product Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas!

Get to Know the Role

Reporting to Analytics Manager, you'll collaborate across disciplines (Product, Business, Engineering, Design, and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will collaborate with stakeholders to define key product metrics and design experiments including A/B testing that shape the future of our products.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with the engineering teams.
• You will drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Get to Know the Team

The Deliveries Analytics team is the analytics and data powerhouse behind Grab's marketplace and on-demand grocery delivery ecosystem. The Supply Chain function focuses on powering one of the most complex parts of the business - instant grocery and retail delivery through 3P and 1P partners. It operates at intersection of inventory, demand forecasting, fulfillment operations, and last-mile logistics. Unlike traditional marketplaces, we manage highly dynamic catalogs, perishable inventory, and real-time fulfillment constraints across dark stores and merchant partners. Our mission is to ensure that what customers want is available, picked, and delivered—fast, reliably, and cost-effectively.

Get to Know the Role

Reporting to the Senior Analytics Manager, you will work with Product, Operations, and Business teams to optimize the inventory-led supply chain, from assortment and availability to fulfillment and delivery. Your work will directly shape how we scale our operations and deliver a seamless grocery experience to millions of users through AI and active experiments.

Your role involves in:

• Reducing stockouts and substitutions
• Improving catalog quality and assortment efficiency
• Optimizing dark store and merchant fulfillment performance
• Balancing freshness, waste, and availability for perishable goods

This role is base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Analyze and optimize inventory availability and assortment performance, including in-stock rates, substitution rates, and catalog health across dark stores and merchant partners
• Solve main supply chain challenges such as stockouts, overstocking, perishability, and demand-supply mismatch
• Develop and monitor core supply chain metrics (eg: in-stock rate, fill rate, substitution rate, waste/shrinkage, order fulfillment time)
• Partner with Product and Operations teams to design experiments (including A/B testing) to improve availability, fulfillment quality, and customer experience
• Build data models and tools to support demand forecasting, inventory planning, and replenishment strategies
• Optimize picker and packing efficiency, batching logic, and fulfillment workflows within dark stores and merchant operations
• Define data requirements and instrumentation for new supply chain features, ensuring accurate and scalable data capture
• Champion AI-first analytics workflows, using automation and new tools to improve forecasting, anomaly detection, and operational decision-making.
• Build dashboards and data products that allow real-time visibility into supply chain performance for operations and business teams

This role is based in our Menara Skymind office.

Position Overview

We are seeking a detail-oriented Data Governance Analyst to join Omdia's Data Architecture & Engineering team, supporting the implementation and maintenance of data governance standards across our market research and industry analysis data. This role offers an excellent opportunity to contribute to Omdia's data centralization initiative while developing expertise in enterprise data governance.

Key Responsibilities

Data Governance Implementation

• Support the implementation of data governance frameworks and best practices across Omdia's market data sources
• Assist in developing and maintaining data taxonomy standards, ensuring consistency across research content workflows
• Contribute to data quality monitoring processes, identifying issues and supporting remediation efforts
• Help establish and document data lineage tracking for critical market research datasets

Data Quality & Standards

• Perform regular data quality assessments across market and industry data sources
• Document data governance procedures, standards, and best practices for team and stakeholder reference
• Support metadata management initiatives, ensuring accurate and comprehensive data documentation
• Assist in the development of data stewardship protocols and compliance monitoring

Analysis & Reporting

• Analyze data governance metrics and prepare regular reports on data quality, compliance, and governance maturity
• Support stakeholder requests for data lineage, quality assessments, and governance documentation
• Contribute to the evaluation of new data sources and their integration into existing governance frameworks
• Assist in vendor data assessment and compliance verification processes

Collaboration & Support

• Work closely with Data Governance Manager and Data Management Analyst to deliver team objectives
• Collaborate with research teams to understand data requirements and governance needs
• Support training initiatives to promote data governance awareness across the organization
• Participate in cross-functional projects related to data platform development and content workflow optimization

About GBG

Enabling safe and rewarding digital lives for genuine people, everywhere

We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.

With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.

About the team and role

We are looking for a Senior Data Engineering Manager who is deeply hands-on with technology and able to lead from the front. This role will lead teams delivering strategic AI initiatives that enhance and differentiate our Location products, combining large-scale data engineering with applied machine learning and NLP.

You will remain close to design and implementation, acting as a technical authority and coach, while also owning delivery, team health, and alignment to product strategy. This is not a purely managerial role — success requires strong technical judgement, architectural leadership, and the ability to guide teams through complex AI-driven systems in production.

What you will do

Senior Leadership & Organisation Design

• Act as hands-on technical leader for data and AI-driven Location platforms & services
• Set architectural direction for data pipelines, feature stores, and AI inference workflows
• Lead design reviews, make high-impact technical decisions, and unblock complex engineering challenges
• Stay close to code, tooling, and cloud architecture to maintain technical credibility
• Establish best practices for production-grade AI systems (performance, monitoring, reliability)

AI & Location Strategy

• Lead delivery of strategic initiatives applying AI and NLP to Location data and products
• Partner with Product and Domain experts to translate Location use cases into scalable AI solutions
• Guide teams on feature engineering, model integration, and inference at scale
• Balance experimentation velocity with production robustness and long-term maintainability

Platform & Delivery Ownership

• Own end-to-end delivery of data and AI pipelines on AWS
• Ensure systems meet expectations for latency, scalability, cost efficiency, and data quality
• Drive pragmatic technical trade-offs aligned to business priorities
• Define and track metrics for data freshness, model performance, and platform reliability

People Leadership & Team Growth

• Lead, mentor, and develop senior data engineers and applied ML engineers
• Build a culture of strong engineering fundamentals, curiosity, and accountability
• Support hiring and development of high-calibre engineers in Kuala Lumpur
• Create an environment where engineers can do their best technical work and grow

Stakeholder Collaboration

• Work closely with Product, Engineering, and AI stakeholders to shape roadmaps and priorities
• Clearly communicate complex technical topics to non-technical audiences
• Represent data engineering and applied AI in senior forums

Skills we're looking for

Technical

• Strong background in data engineering with applied AI/ML systems in production
• Extensive experience building cloud-native platforms on AWS
• Advanced proficiency in Python, including production data and AI pipelines
• Hands-on experience with NLP frameworks such as spaCy (or similar)
• Strong understanding of data modelling, feature engineering, and scalable inference
• Experience designing low-latency and high-throughput data systems

Leadership

• Proven experience leading engineers while remaining technically hands-on
• Ability to coach teams through complex architectural and implementation decisions
• Strong delivery ownership and bias toward execution
• Excellent communication and stakeholder management skills

Nice to Have

• Experience with geospatial or Location-based data
• Exposure to feature stores, vector search, or retrieval-augmented generation (RAG) systems
• Experience deploying AI models in regulated or high-availability environments
• Familiarity with MLOps practices (model versioning, monitoring, CI/CD)

To find out more

As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.

To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to behired@gbgplc.com and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.

Unleash your potential and be part of our mission to power safe and rewarding digital lives.

Join SEEK's Data Enablement function as a Data Enablement Lead. You will unlock the value of SEEK's data by improving how it is discovered, understood, and used across the organisation. Reporting to the Head of Data Enablement, you will translate strategy into execution, working across product, engineering, and business teams to enable self-serve analytics, trusted data foundations, and AI-driven use cases. Your focus: drive adoption, improve data usability, and enable confident decision-making and innovation.

The Role

• Drive execution of SEEK's Data Enablement strategy into measurable initiatives
• Shape solutions that improve data discoverability, usability, and trust
• Design capabilities like data discovery tools, metadata frameworks, semantic layers, and glossaries
• Strengthen data ownership, stewardship, and "data as a product" practices with domain teams
• Identify and prioritise opportunities to improve data health, accessibility, and user experience
• Support adoption of metadata, quality, and lifecycle controls with governance partners
• Drive data literacy by uplifting skills across analyst and product communities
• Lead through influence in a federated model, aligning stakeholders and driving change

Your work enables faster, safer, more effective use of data across SEEK — powering decision-making and next-gen AI.

As a Senior Data Analyst you will leverage your expertise to directly impact the performance and reporting for our 10 markets in the APAC region. You will act as a high-level advisor to the local markets, leveraging deep-dive analytics and AI-tools to steer country performance. This isn't about building reports, it’s about translating complex data into strategic roadmaps. You will bridge the gap between technical data analytics and executive decision-making, ensuring our global footprint is optimized for growth and efficiency.

This high-impact role requires a self-starter who is capable of effectively balancing trade-offs between speedy delivery and long-term investments in strategic data assets in order to enhance growth, efficiency, and competitive advantage across multiple markets.
 

Responsibilities:

• Strategic Market Advisory: Act as the primary consultant for 10 international markets, conducting deep-dive analyses into country performance to identify growth levers and operational gaps.
• Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into scalable reports and actionable insights, using tools like BigQuery and dbt. Leveraging critical thinking in questioning existing solutions, and high ownership in developing new ones. Championing high standards in communication and deliverables.
• Next-Gen Data Solutions: Move beyond traditional BI by integrating LLMs and agentic workflows into our reporting suite, transforming static data into interactive, conversational business intelligence.
• Functional Knowledge and Business Acumen: Quickly develop an excellent understanding of the business and its key processes, strategic levers and KPIs
• Stakeholder Collaboration & Data Advocacy: Partner with senior business leaders to co-define key metrics, identify process optimization opportunities, and translate analytical findings into actionable insights. Being a strong advocate for building strategic analytical partnerships, as opposed to just providing data.
• Transparency & Backlog Management: Maintain clear visibility into the team’s project backlog, providing regular updates and insights to stakeholders. Actively seek and incorporate feedback to continuously improve analytics processes and outputs.
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• Data & Reporting Consistency: Balance speed and adherence to SLAs with a commitment to data consistency, avoiding redundant work and ensuring alignment with the organization’s ethos of a single source of truth and standardized processes for financial and other reporting.
• Rigorous Standards in Data Quality: Establish, provide ongoing evaluations, and make strategic recommendations on future enhancements in data accuracy, validity, and velocity, both of analytics outputs created internally, and of our portfolio of category position solutions provided by external partners.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

We are looking for a skilled Data Engineer with strong experience in cloud platforms like Amazon Web Services and Microsoft Azure. The candidate will be responsible for building scalable data pipelines, managing large datasets, and supporting analytics and reporting systems.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

We are seeking a dynamic Regulatory Data Analyst (1-Year Contract) to be part of our mission to drive impactful decisions across our 16 markets. Working within our Analytics team, you'll support the team by providing high-quality regulatory data operations support and collaborating with internal teams to assist in decision-making. This is a foundational role offering the opportunity to grow technical skills and learn from experienced data professionals.

• Data Preparation & Ad Hoc Analysis: Manage and validate regulatory data requests from regulatory bodies, and courts. Ensure accurate and timely submission of information in accordance with specified deadlines.
• Cross-Functional Collaboration: Partner with legal and technical teams to maintain data integrity and uphold internal data quality standards.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

This role is based in our Menara Skymind office. 

We are looking for a Data Engineer to join our Data Engineering team in Penang. 

Purpose of role:

The purpose of the Data Management Engineer role is to ensure the organization’s data assets are effectively managed, governed, and utilized to drive business value. This position is central to maintaining the integrity, security, and accessibility of data across systems, enabling informed decision-making and operational efficiency. The Data Management Engineer will design and implement robust data management solutions, enforce governance standards, and collaborate with stakeholders to optimize data processes. By ensuring high-quality, reliable, and compliant data, the role supports the organization’s strategic objectives and fosters innovation through data-driven insights.

Key Responsibilities:

• Design and implement scalable data management solutions to support business needs.
• Develop and maintain data models, schemas, and metadata repositories.
• Ensure data integrity and consistency across systems.
• Collaborate with the Data Governance team to enforce policies, standards, and best practices for data management.
• Monitor compliance with data governance frameworks and regulatory requirements.
• Support data stewardship initiatives to ensure accountability for data quality and usage.
• Develop and optimize ETL (Extract, Transform, Load) pipelines for data integration.
• Ensure seamless data flow between systems and applications.
• Troubleshoot and resolve data integration issues.
• Implement data quality checks and validation processes to ensure accuracy and reliability.
• Work with IT and security teams to safeguard sensitive data and ensure compliance with data protection regulations.
• Identify and mitigate risks related to data management.
• Partner with cross-functional teams, including IT, analytics, and business units, to understand data requirements and deliver solutions.
• Provide technical guidance and training to stakeholders on data management tools and practices.
• Stay updated on emerging trends and technologies in data management and governance.
• Propose and implement improvements to existing data management processes and systems.

Ethics & Transparency:

• Ensure strict compliance with global data regulations (such as GDPR, CCPA) and internal governance standards to safeguard personal and sensitive data across all data pipelines and storage systems.
• Maintain transparency in data engineering processes by clearly documenting data sources, transformation logic, data quality rules, and pipeline behavior so stakeholders understand how data is processed and delivered.
• Take ownership of assigned engineering tasks and proactively engage with stakeholders, including analysts, researchers, and technology teams to ensure clear, timely, and accurate communication throughout the data lifecycle.
• Demonstrate a strong understanding and commitment to Data Engineering and I&A goals, values, and best practices, adhering to all relevant policies, security guidelines, and ethical data-handling frameworks.

This role is based in our Menara Skymind office. 

We are looking for a Data Engineer to join our Data Engineering team in Penang. 

Purpose of role:

Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support the organization’s data and analytics needs. They play a critical role in the end-to-end data lifecycle by ensuring that data is reliably collected, efficiently processed, and made accessible for analysis across various business functions. This position requires strong technical proficiency in data engineering tools, cloud platforms, and integration frameworks, as well as a deep understanding of data modelling, data quality, and automation best practices. In addition, they are expected to troubleshoot issues, manage risks, and continuously optimize data workflows for performance and reliability.

The Data Engineer also collaborates closely with key stakeholders across the Intelligence & Advisory (I&A) division, including Data Analysts, Research teams, and Technology partners, to translate business requirements into robust technical solutions. They contribute to shaping data strategy, reviewing integration and pipeline designs, and mentoring junior team members to uplift engineering standards across the organization.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion from diverse sources (APIs, web scraping, cloud systems, files).
• Implement data quality checks, monitoring, and validation processes to ensure accuracy and reliability.
• Collaborate with stakeholders to understand data requirements and translate them into efficient technical solutions.
• Manage and optimize data storage across cloud and on-premises environments (e.g., AWS S3, databases, and warehouses).
• Automate manual processes (e.g., Excel, VBA workflows) into centralized and scalable solutions.
• Work with orchestration tools to schedule and monitor data workflows.
• Maintain documentation for data pipelines, transformations, and system integrations.
• Ensure data security, compliance, and governance standards are applied consistently.

Ethics & Transparency:

• Ensure strict compliance with global data regulations (such as GDPR, CCPA) and internal governance standards to safeguard personal and sensitive data across all data pipelines and storage systems.
• Maintain transparency in data engineering processes by clearly documenting data sources, transformation logic, data quality rules, and pipeline behavior so stakeholders understand how data is processed and delivered.
• Take ownership of assigned engineering tasks and proactively engage with stakeholders, including analysts, researchers, and technology teams to ensure clear, timely, and accurate communication throughout the data lifecycle.
• Demonstrate a strong understanding and commitment to Data Engineering and I&A goals, values, and best practices, adhering to all relevant policies, security guidelines, and ethical data-handling frameworks.