Total 459 analyst job vacancies in Information Technology category in Singapore

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

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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PERSOL Singapore Pte Ltd •RCB No. 200007268E • EA License No. 01C4394• Reg No: R25158902 (Goh Bi LanAngelica)

Working Arrangement: Hybrid, Full Time

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.  

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Conversion Rate Optimization analytics.
• Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges. 
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs. 
• Help to design and analyze A/B experiments to improve conversion rate outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
• Contribute to the planning & execution of the Growth team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.  

Who we’re looking for

If this sounds like you, please get in touch! 

Experience & expertise

• 5+ years in a web analytics, product analytics, or business intelligence role
• Proven track record of designing, executing and evaluating A/B experiments, with the ability to recommend next steps through iterative testing
• Outstanding analytical skills — from querying data to unearth insights, to creating compelling visualisations for ease of understanding
• Strong problem-solving skills with the ability to think beyond the obvious

Data mindset & ownership

• Passionate about data and using it to influence business decisions
• Detail-oriented in ensuring data quality and integrity across everything you present
• Self-starter with a strong sense of ownership — you bring insights to life, not just report them
• Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome

Business partnership

• Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
• Strong business acumen with a business-first approach to problem framing
• Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive

Communication & storytelling

• Excellent communicator who uses storytelling to make insights land at the business level
• Able to connect data narratives to commercial outcomes in a way that resonates across teams
• Fluent in English
• Thrives working alongside intelligent, passionate people

Technical skills

• High proficiency in SQL and/or other querying languages
• Hands-on experience in Tableau or equivalent data visualisation tools
• Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper

Nice to have, but not required 

• You are comfortable talking about technology and communicating with developers on technical topics.
• A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.

What we can offer you

• Challenging work in a fun and collaborative environment
• Smart, passionate, and intelligent colleagues
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

Job Summary

Review gaming app updates to ensure compliance with monetization and in-app purchase policies. Collaborate effectively with developers to support smooth app operations and quality assurance.

Responsibilities

• Evaluate gaming app updates for compliance before submission to ensure adherence to platform standards
• Verify monetization features and in-app purchases meet regulatory and company policy requirements
• Communicate clearly with developers to resolve issues and facilitate timely app releases
• Apply experience in app operations or quality assurance to identify and address potential risks or defects

Preferred competencies and qualifications

• Demonstrated interest in gaming apps to understand user experience and industry trends
• Prior experience in app operations or quality assurance to support quality control processes

Other Information

• Salary: SGD 4,200 – 6,800/month

Job Summary

Review mobile app builds before public release to ensure compliance with App Store and Play Store guidelines. Track bugs, crashes, and user experience issues to maintain app quality and performance.

Responsibilities

• Review mobile app builds to verify readiness for public release
• Ensure mobile apps comply with App Store and Play Store guidelines
• Track and document bugs, crashes, and user experience issues to support app stability and usability
• Utilize mobile SDKs and debugging tools to identify and troubleshoot app issues

Preferred competencies and qualifications

• Experience in quality assurance (QA) or mobile app testing
• Familiarity with mobile SDKs and debugging tools

Other Information

• Salary: SGD 4,000 – 6,500/month

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Mobile App Customer Feedback Analyst – Job Description

A Mobile App Customer Feedback Analyst is responsible for collecting, reviewing, and analysing user feedback related to mobile applications. The main goal of this role is to understand how users feel about an app, identify problems they face, and provide insights that help improve the overall user experience.

In this role, you will regularly monitor feedback from multiple sources, such as app store reviews (Apple App Store, Google Play Store), in-app surveys, customer support tickets, and social media comments. You will organise this information and categorise it based on themes such as bugs, performance issues, usability concerns, feature requests, and general satisfaction.

One of the key responsibilities is to identify patterns in user feedback. For example, if many users report the same issue, the analyst highlights it and reports it to the product, design, or development teams. This helps companies prioritise fixes and improvements that matter most to users.

The Mobile App Customer Feedback Analyst also prepares simple reports and summaries that show trends in user satisfaction, common complaints, and positive feedback. These reports are often shared with management teams to support decision-making and product planning.

In addition, this role may involve tracking app ratings over time and measuring the impact of updates or new features on user sentiment. By comparing feedback before and after updates, the analyst helps determine whether changes have improved the user experience.

Strong communication skills are important in this role, especially when translating user comments into clear and actionable insights. Attention to detail is also essential, as small issues reported by users can indicate larger problems in the app.

Basic knowledge of mobile apps and how they function is helpful, along with the ability to use spreadsheets or simple analytics tools to organise data. Being organised, patient, and consistent is important because feedback analysis is often repetitive but highly valuable work.

This role is ideal for individuals who enjoy working with data, understanding user behaviour, and helping improve digital products. It can be performed remotely or in an office environment, depending on the company.

Mobile App Risk & Compliance Analyst – Job Description

Responsibilities

• Review mobile app features, updates, and processes to ensure compliance with data protection laws, privacy regulations, and platform policies such as Apple App Store and Google Play Store guidelines
• Identify and assess potential risks including data security vulnerabilities, privacy concerns, unauthorized access, and misuse of user information within mobile applications
• Report identified risks to relevant teams promptly to enable effective mitigation and resolution
• Monitor compliance during app updates and new feature releases by reviewing documentation, testing app behavior, and collaborating with development and product teams
• Maintain detailed compliance records and reports documenting risks, mitigation actions, and overall compliance status for audits and internal reviews
• Assist in creating and updating internal policies related to app security, user privacy, and compliance standards to ensure consistent adherence across teams
• Communicate clearly and effectively with developers, product managers, legal, and security teams to address compliance issues and promote risk awareness
• Apply strong analytical skills to evaluate potential compliance problems and understand their impact on app security and user trust
• Demonstrate attention to detail to prevent compliance oversights and security risks in app development and maintenance

Preferred competencies and qualifications

• Basic understanding of mobile applications, data privacy principles, and security practices
• Familiarity with compliance frameworks or risk management processes