Total 55 Information Technology job vacancies

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning, Computer Vision and GenAI  to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. 
• Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process. 
• Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction. 
• Able  to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance. 
• Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.

• Implement and monitor site-specific HSE policies and procedures in line with local regulations and project requirements
• Conduct daily site inspections, audits, and safety walkabouts to identify hazards and ensure compliance
• Lead toolbox talks, safety briefings, and training sessions for site personnel and subcontractors
• Ensure proper use of PPE (Personal Protective Equipment) and enforce safety protocols at all times
• Investigate incidents, near-misses, and accidents, and prepare detailed incident reports and corrective actions
• Coordinate with project managers, engineers, contractors, and clients to maintain a safe work environment
• Oversee high-risk activities such as working at heights, confined spaces, electrical works, and chemical handling
• Maintain and update all safety documentation, permits-to-work, and compliance records
• Support emergency response planning and drills

The Data Processing Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories. To create and deliver client outputs 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 and colleagues.
• This role is to support Korea Market.

As a Senior Marketing Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Strategic Marketing Analysis: Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives
• Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

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!

First Circle is one of the fastest-growing FinTech companies in the country, providing financial services to under-served SMEs. We've already transformed access to credit for thousands of businesses, and now we're building a full-stack neobank offering multi-currency bank accounts, payments, FX, corporate credit cards, and payroll. As we enter this next phase of growth, we're hiring exceptional talent with a track record of excellence to join us in shaping the next chapter.

We’re looking for a Data Analytics Lead who's a practical problem-solver. The ideal candidate has strong problem solving and analytical skills, and is able to work with others to turn ideas into action. They don't stop at finding a neat solution to a problem - they want to implement change and see the results of their work. They’re comfortable with data, ready to tackle tricky problems in ambiguous situations, and able to partner with stakeholders, including senior leaders.

First Circle is changing small business banking in the Philippines. The sky is the limit for someone who wants to get stuck in and make a difference.

Responsibilities

• The role will report directly to Senior Leadership and offer high exposure to the executive leadership team, working on strategic priorities.
• There will be limited repetitive or process-based work. The majority of the focus will be on projects that deliver real business impact.
• Projects will vary in nature, scope, and duration, making this role ideal for candidates who enjoy variety and tackling new challenges.
• Example projects could include:
• Restructuring our analytics tables to ensure consistency across the firm, fast retrieval, and user-friendly creation of new metrics.
• Diagnosing issues with our sales funnel and working with our sales team to improve processes, including AI-automated solutions where possible.
• Building a churn-prediction model that will help us to pre-emptively engage with customers at critical junctures.
• Conducting price elasticity analysis and designing and implementing experiments to test the hypotheses.
• Automating our weekly and monthly reporting to surface insights and allow us to see the “so what."

• Professional Experience: 4–8 years of experience, ideally in a tech company or fast-paced environment, with a strong track record of implementing solutions and delivering results.
• Team Leadership: At least 1 year of experience leading and managing teams effectively.
• Problem-Solving & Analytical Expertise: Strong structured problem-solving skills with advanced proficiency in data and analytics tools (required: strong SQL; preferred: strong Python), including data modeling and table structuring for efficiency and usability.
• Execution-Driven Approach: Highly practical and results-oriented, with the ability to translate solutions into tangible business outcomes.
• Project & Stakeholder Management: Skilled in managing multiple projects and stakeholders within dynamic, high-growth environments.

Get to Know the Team

The Integrity team is dedicated to safeguarding all Grab users. We ensure user safety, prevent fraud, and help the Grab ecosystem achieve regulatory compliance. This team involves itself in the entire data lifecycle, from analyzing user behavior to developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to an Analytics Manager in the Integrity team, you will implement controls that protect Grab's ecosystem. You will assist with deep-dive analysis on user behaviors, product funnels, and transaction patterns to help identify potential risks and new fraud typologies. Your analytical support will contribute to the design of risk detection strategies, optimization of AI/Machine Learning models, and implementation of crucial risk controls to safeguard a diverse user base.

You will base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Assist in measuring and analyzing key risk metrics, such as fraud loss, business/product performance, and the performance/effectiveness of existing risk controls across Grab business verticals.
• Support the identification of new fraud and risk patterns by extracting and visualizing data, contributing to the development of data-driven rules and strategies.
• Perform statistical analyses to improve risk detection systems and ensure data integrity.
• Contribute to reporting and data visibility efforts by preparing datasets and dashboards to empower stakeholders (Product, Engineering, Risk Operations) with insights on key risk metrics and evolving attack patterns.
• Support data extractions and preparations required for internal audits and compliance assessments.
• Help design and analyze experiments to determine the effectiveness of new or existing risk controls within the platforms.

Data Management & Engineering:

• Design, implement, and optimise end-to-end data pipelines to improve the integration and processing of data.
• Oversee data storage, transformation, and retrieval processes to support analytics and reporting requirements.

Data Analytics & Reporting:

• Deliver actionable insights through analytics and reporting tools, enabling data-driven decision-making across the organisation.
• Implement robust data visualisation frameworks to enhance data accessibility and usability.

Data Governance:

• Enforce data governance frameworks, ensuring data quality, security, compliance, and regulatory alignment.
• Promote a culture of accountability and best practices around data usage and stewardship.

Solutions & Data Architecture:

• Design, build and maintain scalable data architectures, enabling the seamless integration of new technologies and methodologies.
• Collaborate with the clients data, technology and business teams to ensure alignment between solutions and business needs.

• Develops, implements, and maintains technical quality assurance and control systems and activities.
• Defines and specifies the implementation of standards, methods, and procedures for inspecting, testing, and evaluating the precision, accuracy, and reliability of the construction and future operation management.
• Participates in the reviewing of engineering designs to contribute quality requirements and considerations.
• Assists construction support areas in gathering and analyzing data.
• Demonstrable experience in the managing of multi-disciplined semiconductor projects and/or other relevant industries is strongly preferred.
• Implement construction quality management in construction activities.
• Collaborate with core team to perform the audits to validate and confirm Contractors’ QA/QC (Quality Assurance and Quality Control) activities.
• Focal Point for specific discipline, excellent familiarity with the project scope and drawings.
• Review and follow up the Contractors’ QA/QC plans and relevant Quality Documentation and verify execution is done per latest and updated IFC.
• Review and follow up the Contractors’ Quality records.
• Issues and tracks NCR (Non-Conformance Record) items till closure.
• Supports and coordinates Mock-ups.
• Escalation path for relevant Lead Project Manager.
• Performs incremental checks to validate and confirm Contractors’ installations.
• Attend mutual QC walk down with Owners.
• Supports Design Verification (DV) Process and start-up and commissioning quality issues.
• Root cause analysis and problem-solving program. Tracking defect rectification and closure in time.
• Perform Quality training for Subcontractors.
• Summarize and categorize all kinds of Quality inspection statistic data and list down for supervision, analysis and outcome report for improvement and recovery.

In this role, you will become part of the Performance Excellence Pillar. The role is intended to work on Quality escape, RCA, KPI, and strategic prediction by analyzing data countries/clusters. You will have the opportunity to lead continuous improvement projects, according to the requirements, and deliver the expected business impacts. You will be working closely with Process Engineers, BAU Leads, Transformation on compliance-related initiatives and local projects.

• Analyze and identify areas for improvement in BAU (Business as Usual) processes and drive convergence of processes and tools
• Identify and implement solutions that translate into standardization and process efficiency while balancing local BAU needs
• Evaluate, develop, and implement policies and procedures, mapping business processes, capturing and sharing best practices between the respective countries and regions
• Facilitate and organize improvement and problem-solving workshops, brainstorming with stream members
• Work with metrics and data to identify improvement opportunities, delivering data-driven analysis and business cases
• Cooperate with Global Enablement, Governance, Process Owners, and Operations leaders to ensure we maintain high-quality deliverables and our delivery standards are met or exceeded.
• Utilize the AI concept to streamline the process to gain the operation efficient.

Our Data & AI Vision

We are building an AI-native data platform that:

• Unifies data across ecommerce, marketing, creators, and operations into a real-time, governed data foundation
• Moves beyond dashboards to deliver proactive, predictive, and prescriptive insights
• Enables AI-driven self-serve analytics for business users via natural language, copilots, and agents
• Powers autonomous decision-making and optimization across pricing, campaigns, inventory, and content
• Embeds machine learning and generative AI into core workflows (forecasting, recommendations, anomaly detection, content insights)
• Acts as the intelligence backbone of our internal tech platforms

Our current stack includes Google BigQuery, StarRocks, Airflow, DBT, Cube.dev (semantic layer), Looker Studio, and Apache Superset—and we are evolving this into a modern AI + data platform with real-time, ML, and agentic capabilities.

Role Overview

We are looking for a hands-on Head of Data & Analytics to lead the transformation from a traditional BI and data platform into an AI-driven intelligence platform.

You will:

• Own the end-to-end data, analytics, and AI strategy
• Build a platform that shifts the company from reporting → insights → actions → autonomous optimization
• Enable both internal teams and external clients with self-serve, AI-powered decision-making tools
• Partner closely with Product, Engineering, and Business teams to embed intelligence into every workflow

This role requires someone who is equally comfortable:

• Defining data + AI strategy at the leadership level
• Designing modern data and ML architectures
• Driving real business impact through insights and automation

Key Responsibilities

1. Data, Analytics & AI Strategy

• Define and execute the roadmap for an AI-native data platform aligned with Intrepid’s product and business strategy
• Evolve the organization from dashboarding → proactive insights → autonomous intelligence systems
• Identify and prioritize high-impact opportunities across ML, GenAI, and agentic workflows in ecommerce, marketing, and social commerce
• Drive adoption of AI-powered self-serve analytics and copilots across business teams

2. Data Platform, Architecture & Governance

• Own the design and evolution of the modern data stack, including:
• Data warehouse/lakehouse (BigQuery, StarRocks)
• Data pipelines (Airflow, DBT)
• Semantic layer (Cube.dev)
• BI tools (Looker Studio, Superset)
• Extend the platform to support:
• Real-time and streaming data use cases for social commerce
• Vector databases, MCP, and LLM integration layers
• Establish strong foundations for data governance, privacy, security, quality, lineage, and cataloging
• Ensure platform scalability, reliability, and cost efficiency

3. AI, Machine Learning & Intelligent Systems

• Lead the development and deployment of:
• Anomaly detection and automated insight systems
• Generative AI use cases (copilots, automated reporting, content insights)
• Recommendation systems (product, pricing, targeting)
• Predictive models (forecasting, ROAS optimization, churn, inventory planning)
• Drive adoption of LLM-powered analytics (NL2SQL, conversational BI, insight generation)
• Build foundations for agentic AI systems that can autonomously analyze, recommend, and act

4. Business Impact, Self-Serve & Team Leadership

• Transition from pull-based dashboards → push-based, actionable insights
• Enable business teams with:
• Proactive alerts, recommendations, and decision support tools
• Scenario simulation and planning capabilities
• Build AI-powered self-serve analytics experiences, reducing dependency on central teams
• Drive semantic layer adoption and metrics standardization across the organization
• Define and track impact metrics (e.g., GMV uplift, marketing efficiency, cost reduction, automation rates)
• Build and lead a high-performing data organization (Data Engineering, Analytics Engineering, Data Science, BI)

Foster a culture of ownership, experimentation, and AI-first thinking, partnering closely with tech and business functions

Experience & Domain Expertise

• 10+ years in data, analytics, and AI roles, with 3+ years in leadership
• Strong experience in ecommerce, marketplaces, martech, or digital platforms
• Proven track record building modern data platforms and scaling data teams
• Experience working in multi-country / SEA environments is a strong plus

AI & Data Expertise

• Deep expertise in the modern data stack:
• BigQuery, DBT, Airflow, real-time pipelines, semantic layers
• Hands-on experience with:
• Generative AI / LLMs (RAG, copilots, natural language interfaces)
• Experimentation frameworks and causal inference
• Machine learning (forecasting, optimization, recommendations)
• Familiarity with:
• Feature stores, MLOps, vector databases, and AI orchestration frameworks
• Strong understanding of data modeling, governance, and scalable architecture

Leadership & Ways of Working

• Proven ability to build and lead multi-disciplinary data teams
• Strong communication skills; able to translate complex data/AI concepts into business value
• Highly analytical and structured thinker
• Comfortable operating in fast-paced, ambiguous, high-growth environments
• Collaborative, pragmatic, and outcome-driven

You will apply a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas. You will contribute to helping Developers, Designers and Product Managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.

This role is based on-site in our Petaling Jaya office.

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 Operations Analyst 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 

As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
• Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
• Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
• Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
• Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
• Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
• Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.

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!

The Reference Data Specialist 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

• Develop, implement, and maintain comprehensive HSE programs and policies tailored to high voltage substation construction activities.
• Ensure project is in compliance with relevant local and national health, safety, and environmental regulations, as well as the company standards and policies.
• To provide the best practice HSE solution on day-to-day monitor and report to maintain high HSE standards in the field.
• Conduct regular risk assessments and job hazard analyses to identify potential hazards and implement appropriate control measures.
• Conduct regular site inspections and audits to monitor compliance with HSE standards. Identify areas for improvement and implement corrective actions.
• to monitor and review the implementation of HSE standard at the high voltage substation construction site.
• Ensuring project meeting that we chair starts with a Health & Safety moment which we initiate through our dedicated Health, Safety, Wellbeing App
• Ensuring all employees, contractors, subcontractors and vendors on site have a requisite level of compliant safety training resulting in them having knowledge of high degree of hazard awareness.
• Adopting a collaborative approach to health and safety across the entire project team promoting safety accountability at all levels, including from the client and owner.
• Setting a zero-tolerance health and safety culture.
• Adopting health and safety assurance process emphasizes leading indicators, which are effective in the developing mitigations to risks on the project site
• Proactively undertaking site supervision of works activities to address safety concerns or identified risk activities.

Key Responsibilities

1. Customer Service Performance Monitoring (KPI)

• Track and analyze key Customer Service KPIs such as CSAT, response time, handling time, and resolution rate
• Develop and maintain dashboards and reports to provide clear performance visibility
• Identify performance gaps and recommend actionable improvements

2. Data Analysis & Insights

• Analyze data across Customer Service, Operations, and Payment teams to identify trends, issues, and opportunities
• Provide insights to improve service quality, operational efficiency, and customer satisfaction

• Support regular reporting (weekly/monthly) and business reviews

3. System Usage & Process Optimization

• Monitor the usage and effectiveness of CS tools (e.g., ticketing systems, CRM platforms, chatbot solutions)
• Ensure proper system adoption and highlight gaps in usage or workflow inefficiencies
• Recommend enhancements to processes and system workflows

4. AI & Automation Support

• Track and evaluate chatbot performance (e.g., resolution rate, fallback scenarios)
• Identify opportunities to reduce manual workload through automation•
• Collaborate with Tech teams to improve AI tools using data-driven insights

5. Cross-functional Collaboration

• Work closely with CX, Product, and Technology teams to support business initiatives
• Assist with ad hoc data analysis and reporting requests as required

Requirements

• Diploma or Degree in Data Analytics, Business, IT, or related fields
• 1–3 years of experience in data analysis, reporting, or similar roles (experience in Customer Service environment is an advantage)
• Strong proficiency in Excel or Google Sheets (e.g., formulas, pivot tables)
• Basic knowledge of SQL is preferred
• Experience with data visualization tools (e.g., Power BI, Tableau) is a plus
• Strong analytical thinking, problem-solving, and communication skills

• Project documentation and project filing to all online sharing and offline platforms as per required
• Ensuring that the files in the onboarding pack and online sharing platforms are up to date
• Collation for certificate of insurance and submission to project compliance coordinator
• To prepare formal project progress and other reports includes but not limited to weekly progress report, master schedule, risk register and audit documentation tracker
• Supports in the preparation of the project execution plan
• Liaise closely with the local project managers to obtain the information that is required
• Ensure that the local project managers are aligned and accountable with the reporting information
• To attend meetings and draft minutes
• Support in the update of the program tracker and ensure that or data quality validation errors are resolved
• Support in ensuring the relevant scores for the project key performance indicators are being achieved
• Support the physical closure process of the projects
• Liaise with project compliance coordinator to ensure all compliance documents are provided for project closure

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 

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Act as point of contact from Operations to internal Client Ops and Customer Success Leaders commercial leaders (including the Country MD / external clients where applicable) to lead and drive the operational delivery of our client offering. Leads a team of country functional managers. 

Client Solutioning 

• Advocate" of Operations, to provide solutions that meet the client's needs and which are at the same time cost-effective and technically sustainable.
• Responsible for making decisions on behalf of operations for the country. 
• Has breadth of Operations E2E knowledge regarding the production processes and client knowledge to be able to handle discussions with client Ops in regard to possibilities and limitations of Nielsen solutions 
• Accountable for the agreed service level (quality, allocation of data) to be satisfied / surpassed, and the commitment to the client to be satisfied/ exceeded. 
• Drives Operation Processes with Quality and On time Delivery as per Global KPIs 
• Drives Standardization and Harmonization of processes across the region as per Global SOPs  
• Delivers on Global Productivity targets including RUN and other Global initiatives 

Team Management 

• Plans and controls resource allocation to optimize the “operations service” to clients 
• Manages initiatives to deliver efficiency and productivity to the company 
• Expected to coach and develop the team, monitor individual performances and identify talents or low performers 
• Acts as an escalation point for the country team and constantly reviews and assesses team's KPIs periodically 
• Meets clients to conduct client health check on operations 

About the job   

• Acts as point-of contact for Input Operations processes  
• Act as secondary point of contact in the absence of team lead in managing E2E operational queries and deliverables  
• Act as the SPOC for all the queries/data investigations and managing the internal stakeholders on the assigned queries 

Responsibilities  

• 1st function IV - Input Validation level, Production flow, what kind of validation, overall flow of the production, how functions coordinate each other  
• Database management system - understanding; can see a broader picture of the function  
• Get data from different sources, data handling, data evaluation, data analytics  
• Data Production process, reports  
• what kind of output that needs to be impacted from the input approach  
• 60%/ 70% system knowledge; 40%/ 30% analytics  
• Focus on IV - should see a broader level, what can foresee/ view on data  
• In-house system/ execution system  
• Project implementation, research - getting input from RMS or different sources, data validation  

We're looking for a skilled Data Engineer with a strong product builder mindset to join our Product Development Team. In this role, you'll be instrumental in building and maintaining the data infrastructure that powers our data products. You'll work closely with product owners, engineers, developers, and data scientists to ensure the quality, consistency, and scalability of our solutions.

This is a hands-on role where you'll help shape the future of our data products—translating business needs into robust, scalable data solutions that empower our clients to make smarter decisions.

What you'll do

• Design and build robust, scalable data pipelines to ingest and process large volumes of data.
• Develop complex data models to support client-facing teams and product features.
• Lead and support the migration of data infrastructure from on-premise to cloud environments.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Implement and maintain optimal cloud-based architectures to support our data products.
• Own the full lifecycle of data processes—from ideation to deployment and maintenance.

• Develops, implements, and maintains technical quality assurance and control systems and activities.
• Defines and specifies the implementation of standards, methods, and procedures for inspecting, testing, and evaluating the precision, accuracy, and reliability of the construction and future operation management.
• Participates in the reviewing of engineering designs to contribute quality requirements and considerations.
• Assists construction support areas in gathering and analyzing data.
• Demonstrable experience in the managing of multi-disciplined semiconductor projects and/or other relevant industries is strongly preferred.
• Implement construction quality management in construction activities.
• Collaborate with core team to perform the audits to validate and confirm Contractors’ QA/QC (Quality Assurance and Quality Control) activities.
• Focal Point for specific discipline, excellent familiarity with the project scope and drawings.
• Review and follow up the Contractors’ QA/QC plans and relevant Quality Documentation and verify execution is done per latest and updated IFC.
• Review and follow up the Contractors’ Quality records.
• Issues and tracks NCR (Non-Conformance Record) items till closure.
• Supports and coordinates Mock-ups.
• Escalation path for relevant Lead Project Manager.
• Performs incremental checks to validate and confirm Contractors’ installations.
• Attend mutual QC walk down with Owners.
• Supports Design Verification (DV) Process and start-up and commissioning quality issues.
• Root cause analysis and problem-solving program. Tracking defect rectification and closure in time.
• Perform Quality training for Subcontractors.
• Summarize and categorize all kinds of Quality inspection statistic data and list down for supervision, analysis and outcome report for improvement and recovery.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Perform data mining and analytics for Quality Assurance (QA) in semiconductor Assembly & Testing processes
• Understand QA business workflows (e.g., SPC, 8D, defect management) and translate business needs into scalable data solutions
• Design and develop end-to-end data pipelines, including data ingestion, transformation, modeling, and visualization
• Develop analytical methods such as anomaly detection, trend analysis, and predictive modeling to enhance quality control
• Drive the transformation of quality management from manual processes to automated and intelligent systems
• Develop dashboards, reports, and automated QA-related business applications
• Collaborate with IT, data teams, and business stakeholders to integrate data platforms with operational systems
• Explore and implement AI/GenAI use cases in quality engineering, such as intelligent insights and automated reporting

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive 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