Total 806 support analyst job vacancies in Information Technology category

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!

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.

About the role

We’re looking for a Software Support Team Lead to guide, mentor and support our team of Software Support Engineers in delivering best-in-class support to our customers.

In this role, you’ll be responsible for building a high-performing team, ensuring smooth day-to-day support operations, and helping our engineers do their best work. You’ll work closely with the Head of Product Support and Support Operations Manager to drive operational improvements, monitor performance against SLAs and KPIs, and provide valuable insights into team successes and challenges.

You’ll also act as a key escalation point for support engineers, leading responses to incidents and service outages, and collaborating cross-functionally to reduce commercial risk and improve the overall customer support experience.

This is a great opportunity for someone who combines people leadership, technical understanding, and a data-driven mindset to improve processes, develop talent, and shape an excellent support function.

Because many of our products allow customers to build their own functionality using Groovy and/or JavaScript, a good understanding of coding is essential for this position.

What you'll be doing

People leadership

• Lead, mentor and develop a team of highly skilled Support Engineers
• Set clear expectations and provide regular feedback through 1-2-1s and performance reviews
• Support the professional development of your team members
• Manage team workload, priorities and planned leave to help ensure SLA and KPI targets are met
• Support hiring activities and help maintain effective onboarding resources
• Create training materials that help the team confidently handle new and complex issues
• Help resolve team challenges and conflicts in a constructive way

Support leadership

• Take ownership of customer outcomes and ensure support tickets are resolved to a high standard
• Act as an escalation point for tickets or situations involving commercial risk
• Lead incident management processes, support the team during critical incidents, and run post-mortem reviews
• Identify opportunities to improve the experience for customers, the business and the support team
• Build strong business cases for ideas and influence stakeholders to drive positive change
• Build strong relationships with Customer Success, Product and Development teams
• Share data-driven voice-of-the-customer insights across the business
• Translate business and product strategy into actionable updates for the team
• Chair stand-ups, facilitate workshops and lead team meetings
• Foster a collaborative, respectful and inclusive team culture

Support operations

• Work with support metrics such as CSAT, FRT, RoR, SLA performance and ticket volumes
• Collaborate with leadership and cross-functional teams to meet KPIs, SLAs and OKRs
• Monitor support queues and ensure work is delivered in line with best practices and standards
• Analyse trends and identify opportunities to improve team performance and customer experience
• Highlight quality concerns and operational challenges, providing clear recommendations to management
• Work with the Support Operations Manager to improve tooling and automations
• Assess the impact of process changes and share feedback with relevant stakeholders
• Contribute to knowledge base content, internal documentation and training materials

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.

• Responsible in assisting Laboratory Technical & Compliance Manager on day-to-day laboratory operation for assigned section towards direction of effective implementation of quality system ISO/IEC 17025, SAMM policy and SGS GCSC requirement
• Assist Technical Advisor /Technical Specialist on the new method development as per business need.
• Respond to queries raise by customer / business / customer support team within agreed timeframe, with minimal supervision from Technical Advisor/ Specialist
• Collaborate with Operation team on investigation and deliver the outcome of investigation professionally to the party who raise the queries within agreed timeframe
• Periodically review, enhance and update of Working Instruction and Standard Operating Procedures when needed
• Working towards enhancement of existing lab process/methodology for lab efficiency improvement
• Work with laboratory operation team on root-cause investigation of all non-conformities and/or customer complaints with proposal of appropriate corrective and preventive actions to address the issue promptly.
• Provide technical training to laboratory personnel to ensure the laboratory competency and conduct refreshment training when needed.
• Insight into new technologies and initiative for enhancement
• Assist to ensure Good Housekeeping and Good Laboratory practice in the laboratory.
• Adherence to SGS Health, Safety and Environment (HSE) Policy by uphold a good safety behavior and exercising necessary standard and process when carry out your responsibilities at all times to ensure compliance to the HSE requirements.
• Perform any other responsibilities as assigned by your reporting manager and/or Senior Management

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

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

What we can offer you:

• Life Insurances
• Team Building

Reporting to the Manager, Singapore, this role will offer an opportunity for you to broaden your knowledge and skills related to e-Commerce payment solutions as you will be tasked to lead payment gateway integrations, to provide technical support to clients by understanding their payment processing requirements and designing appropriate solutions and to maneuver internally to obtain the development resources necessary to meet merchant needs. This role will work closely with internal and external stakeholders locally and regionally which includes business partners, third party vendors and development teams to design and deliver IT solutions that enable the e-Commerce business unit to achieve results.

Merchant Support, your primary responsibility will include but not limited to

the following:

• To support business development efforts during pre-sales, implementation, and post-sales support by:

- providing technical expertise to internal and external stakeholders.

- designing and presenting ecommerce solutions for clients and partners

- conducting internal and external training

• Point of contact point between technology team and business / product development
• team technical issues/bugs.
• Able to decipher/decoded merchant logs and troubleshoot.
• To review and coordinate the enhancement of partner solutions, also ensuring that relevant technical documentation and materials are up to date.
• To work with other teams within the company for multi-country solutions
• Assist with merchant integration and support integration related queries, deciphering/decoding merchant logs and troubleshoot
• Monitor daily batch jobs and operational functions within the systems
• Manage merchant helpdesk or merchant/customer issues and maintain work with technical teams to provide visibility on the issue and resolution (including providing the
• RCA).
• System monitoring and SLA follow ups.
• Assist with ad-hoc special projects integration and monitor stability (can be 24/7 for a period), specially for L1 cases

• 3 years working experience in payment, retail or IT solutions vendors
• Extensive pre-sales / post –sales or consulting experience
• Experience in fintech, payment gateway would be an advantage
• Ability to effectively prioritize tasks
• Dedication and commitment to problem resolution
• Strong customer focus, Proactive/Extrovert, Team Player
• MS Visual Studio 2013
• Knowledge of SQL Statement
• API-based programming skills is an advantage
• Java, HTML, Desktop OS, Window Server

Interested candidates are invited to send your comprehensive resume with current and expected salary package via this job ad. Please note that only shortlisted candidates will be notified.

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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.

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  

Responsibilities:

• Collaborate with business stakeholders and cross-functional teams to gather, analyze, and document requirements for SAP ERP enhancements and customizations.
• Translate business requirements into functional and technical specifications, and partner with developers to deliver efficient ABAP programs, reports, and interfaces.
• Configure and maintain SAP FICO modules to support business operations.
• Develop and maintain comprehensive documentation, including functional specs, technical designs, test plans, and user guides.
• Identify and implement process improvements to optimize SAP system performance and enhance operational efficiency.
• Support system upgrades, patches, and new module implementations by providing technical analysis and expertise.
• Troubleshoot and resolve SAP-related issues, ensuring timely support to end users.
• Stay updated on SAP technologies, trends, and best practices to drive continuous improvement and innovation.

Requirements:

• Degree or Diploma in Information Systems, Computer Science, or a related discipline.
• Minimum 3 years of experience supporting SAP FICO modules.
• Strong understanding of SAP modules and business processes, with the ability to analyze complex requirements.
• Good research and analytical skills, with strong verbal and written communication abilities.
• Proven problem-solving and troubleshooting skills.
• Ability to adapt to evolving SAP and IT technologies.
• SAP certification and experience with SAP S/4HANA will be an advantage.
• Familiarity with additional tools such as RPA is a plus.

EA License No: 18C9123

EA Personnel: R25126753 (Samuel Tan Zihui)

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements

- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

We regretto inform that only shortlisted candidates will be notified.

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