Total 963 data entry job vacancies in Information Technology category

Main role and responsibilities

• Develop, maintain, and optimize Oracle database stored procedures to support business intelligence and reporting needs.
• Design, build, and manage interactive dashboards and reports using Qlik Sense or Tableau.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Ensure data quality and integrity by performing data validation and cleansing activities.
• Automate repetitive reporting tasks to improve efficiency.
• Document data processes, procedures, and dashboards for knowledge sharing and future reference.
• Provide ad-hoc analysis and support to various business units as needed.
• Collaborate with cross-functional teams to identify data needs and develop effective solutions

Primary skills

• Oracle DB stored procedures skills and knowledge
• Dashboard reporting skills and knowledge (Qliksense preferred)
• Strong analytical skills
• Good acumen in data analysis
• Strong understanding of Oracle DB query scripting

Job Responsibilities:

• Conduct research on computer vision, deep learning and AI problems

• Build prototype applications in AI domains such as computer vision, self-supervised learning, multi-modality learning etc

• Work closely with a team of scientists and researchers to concept and iterate on software development

• Develop and deploy data science prototypes, with a focus on bringing machine learning models into production

• Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues

• Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively

• Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects

• Automate processes and workflows for efficient delivery of data science products via scripting and open-source tools

• Familiarity with code management and version control systems such as GIT

• Stay updated with the latest advancements in data science, machine learning, and deployment techniques through independent research and open source tools and libraries

Job Requirements:

• Degree/Masters/PhD in Engineering or Science with min 3 years of relevant experience with atleast 1 year in Computer Vision Projects

• Experience in real-world data science projects, internships, hackathons, and personal projects

• Prior experience in Computer Vision related projects is mandatory

• Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn

• Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI

• Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval

• Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React to design web interfaces for data science prototypes and deploy them.

• Engineering background experienced in Sensing, Controls, Automation, Optimization & Manufacturing Processes is a plus

• Data Engineering & Analytics

By responding to Yokogawa’s advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.

We regret to inform that only shortlisted candidates will be notified.

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Responsibilities:

1. Responsible for defining data tracking solutions for the company's various business products and organizing relevant data tracking documentation.

2. Liaise with business departments to gain an in-depth understanding of reporting and data analysis requirements; independently conduct data requirement analysis, logic sorting, task breakdown and data development implementation. Oversee the development, maintenance and optimization of business report data to provide fast and accurate data support for BI.

3. Implement data warehouse optimization and data governance initiatives based on the current status of the data warehouse.

4. Undertake data development for the user profile platform, supporting the development of platform data service requirements, user segment performance measurement, and the improvement of tag timeliness and accuracy.

Qualifications:

1. At least 5 years of experience in big data development; bachelor’s degree or above, with a major in Computer Science, Software Engineering, Data Science or related fields preferred.

2. Fluent communication skills in Chinese .

3. Proficient in Spark, Spark SQL and Hive SQL, with the ability to perform performance tuning.

4. Solid experience in data warehouse modeling and data governance; able to independently design data warehouses and evaluate data warehouse health.

Proficient in at least one commonly used programming language in the big data ecosystem (Python, Scala, Java).

5. Experience with large cloud platforms in the Internet industry (AWS, Azure) and familiarity with their big data-related services is preferred.

Responsibilities:

1. Responsible for defining data tracking solutions for the company's various business products and organizing relevant data tracking documentation.

2. Liaise with business departments to gain an in-depth understanding of reporting and data analysis requirements; independently conduct data requirement analysis, logic sorting, task breakdown and data development implementation. Oversee the development, maintenance and optimization of business report data to provide fast and accurate data support for BI.

3. Implement data warehouse optimization and data governance initiatives based on the current status of the data warehouse.

4. Undertake data development for the user profile platform, supporting the development of platform data service requirements, user segment performance measurement, and the improvement of tag timeliness and accuracy.

Qualifications:

1. At least 0-3 years of experience in big data development; bachelor’s degree or above, with a major in Computer Science, Software Engineering, Data Science or related fields preferred.

2. Fluent communication skills in both Chinese and English.

3. Proficient in Spark, Spark SQL and Hive SQL, with the ability to perform performance tuning.

4. Solid experience in data warehouse modeling and data governance; able to independently design data warehouses and evaluate data warehouse health.

Proficient in at least one commonly used programming language in the big data ecosystem (Python, Scala, Java).

5. Experience with large cloud platforms in the Internet industry (AWS, Azure) and familiarity with their big data-related services is preferred.

What you'll do:

As a Data Operations Control Analyst based in Singapore within the Asia Client Management Unit, you will be responsible for ensuring the integrity of securities reference data across various asset classes. Your day-to-day activities will involve managing instrument data setup for indexes and curves specific to the Asia timezone, handling settlement instructions when tickets are transferred locally, maintaining centralised reference data platforms for accuracy across systems, updating fixings according to operational schedules, completing audit checks with thorough documentation, responding promptly to stakeholder requests via ticketing systems, collaborating with cross-functional teams to improve processes, adhering to risk controls with diligence, and actively participating in knowledge sharing within your team.

• Ensure timely and accurate set up of securities reference data across all asset classes and systems for the Asia timezone, supporting both cash and derivatives products.
• Manage the set up of other instrument data such as indexes and curves for the Asia timezone, guaranteeing precision and consistency.
• Handle settlement instructions, post-trade contacts, and ledger counterparty data when tickets are transferred to the Asia team, maintaining meticulous records.
• Maintain all reference data and supported market data on the central instrument management platform (FMDM), ensuring uniformity of published information across distinct systems.
• Update required daily, weekly, and monthly fixings promptly to meet operational deadlines and stakeholder expectations.
• Complete FMDM audit reports and checks on a daily basis, establishing a comprehensive audit trail for all reference data additions, deletions, and amendments across each system.
• Manage the ISD and CRD ticketing inbox daily to ensure all stakeholder requests are responded to efficiently and processed without delay.
• Collaborate with front office teams as well as operations and IT functions to foster strong partnerships that enhance data quality control processes.
• Adhere strictly to established procedures while understanding risks and control processes inherent in referential data management.
• Contribute positively to team goals by sharing knowledge, supporting colleagues, and participating in communal problem-solving initiatives.

What you bring:

The ideal candidate for the Data Operations Control Analyst position brings proven experience in analysing complex financial datasets with meticulous attention to detail. Your background includes hands-on involvement in securities or counterparty party data maintenance where strict adherence to procedures was paramount. You possess advanced IT skills—particularly in Word and Excel—and demonstrate adaptability when faced with new software platforms. Your excellent interpersonal abilities allow you to collaborate effectively across departments while maintaining high standards of integrity aligned with regulatory requirements.

• Demonstrated ability to analyse complex datasets with exceptional attention to detail while providing dependable service to internal stakeholders.
• Experience in securities or counterparty party data maintenance within financial services or related industries is highly desirable.
• Proven track record of adhering strictly to procedures while understanding risks and control processes associated with referential data management.
• Advanced IT literacy including proficiency in Word and Excel; ability to quickly adapt to new software systems is essential for success.
• Excellent interpersonal skills enabling effective collaboration with colleagues across front office, operations, IT functions, and other departments.
• Self-motivated approach combined with enthusiasm for communal achievement; proactive participation in team initiatives is valued.
• High level of personal integrity demonstrated through respect for regulatory requirements governing financial data management.
• Ability to plan and prioritise own work efficiently; consistently meets deadlines even under pressure by making best use of available time resources.
• Commitment to continuous learning through training opportunities provided by the organisation; willingness to share knowledge with peers enhances team performance.
• Sensitivity towards inclusive practices that promote diversity within the workplace; supportive attitude contributes positively to organisational culture.

What sets this company apart:

This global financial institution stands out for its unwavering commitment to fostering an inclusive environment where every employee’s contribution is valued. The organisation offers flexible working opportunities designed around your needs so you can achieve optimal work-life balance. Training programmes are regularly available—ensuring you remain knowledgeable about industry developments while advancing your career at your own pace. Supportive leadership encourages open communication between teams; collaborative efforts are celebrated as key drivers of success rather than individual achievements alone.

Do note that we will only be in touch if your application is shortlisted.
Robert Walters (Singapore) Pte Ltd
ROC No.: 199706961E | EA Licence No.: 03C5451
EA Registration No.: R1435983 Glen Chua

What You'll Do

• Design and develop the robust data solutions on SQL Server, ensuring optimal performance through advanced query optimization, indexing strategies, and partition management
• Design and optimize large-scale ETL pipelines using Apache Spark to process high-volume data from diverse sources across the bank
• Ensure data quality and reliability across the platform through comprehensive validation frameworks and proactive monitoring
• Collaborate with analytics teams using SAP BusinessObjects and other systems to deliver regulatory reports and business intelligence
• Drive continuous improvement by evaluating and adopting emerging technologies and best practices in big data engineering
• Troubleshoot and resolve complex data pipeline issues, performance bottlenecks, and system failures

Required Qualifications

• 8+ years of data engineering experience, preferably in financial services or high-volume data environments
• Advanced SQL Server expertise including:
• Query optimization, execution plan analysis, and performance tuning
• Index design, maintenance, and partitioning strategies for large tables
• Deadlock analysis, resolution, and troubleshooting
• Database design, normalization, and experience managing large-scale databases (multi-TB environments)
• Solid understanding of data engineering principles: data modeling, ETL best practices, and data quality frameworks
• Java/J2EE development skills for building scalable data applications
• Good to have the proficiency with Apache Spark (Data Frames, RDDs, Spark SQL) for building and optimizing production-grade ETL pipelines that handle large-scale distributed data processing

Preferred Qualifications

• Experience with SAP BusinessObjects and reporting tools
• Background in banking, risk management, or regulatory reporting
• Familiarity with data governance and quality frameworks
• Knowledge of cloud platforms (AWS, Azure, or GCP)

Thanks,
Saghana Sithara

Business Manager, Recruitment| Quess Selection & Services, Singapore

EA License Number: 23C2060 Registration ID is R1550224

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfil our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA.”

We seek an IT professional with advanced, hands-on technical skills in server hardware and Linux - ideally in a Data Center environment. Having broad knowledge of server administration and participating in projects in a large-scale distributed data center environment is a core competency of this individual. You should also have working knowledge and experience in a few of the following core areas: Hardware repair, OS management, Tooling and Automation, Networking, or Technical Project Management.

Responsibilities

• Support platform health by successfully resolving and closing tickets, while addressing the overall issue (i.e. addressing root cause) including, but not limited to, remote troubleshooting and physical inspection of services in data halls
• Participate in n-depth exploration and root cause analysis of highly technical issues within the data center, ranging from automated tooling to hardware failures and network issues
• Collaborate with cross-functional teams on projects and initiatives related to topics such as process, hardware and automation
• Point of contact for the introduction of new platforms and hardware to the site, in collaboration with partners and global resources, accelerating the time it takes to bring these products to sustained mass production
• Use tools and data analysis effectively to identify issues. Take actions to communicate with all stakeholders appropriately and manage or escalate as needed
• Identify corrective actions of hardware issues, work with internal teams and vendors; influence future design changes to ensure ease of serviceability
• Solve systemic hardware and/or software issues at scale using scripting, automation, and tooling to drive global resolution
• Continuously evaluate and identify areas for improvement in processes, tools, and systems to optimize efficiency and quality of repairs
• Use data analytics to drive maximum server up-time and utilization rates, understanding hardware failure rates and service level agreements
• Support and train team members to evaluate and identify better ways to resolve issues, and define updates to tools and processes
• Provide engineering support and be a go-to technical resource for the team, leadership, and cross-functional teams in operating and maintaining data center servers
• Maintain and update documentation i.e. procedures, runbooks and guides
• Build cross functional relationships and influence policies and procedures that improve global data center operations
• Participate in 24/7 on-call rotation
• Ability to travel up to 15% of the time

Minimum Qualifications

• BS, BA or BEng in technical field or commensurate experience
• 5+ years of technical IT experience within an infrastructure environment, in a role such as Systems Administrator, DevOps Engineer, or Site Reliability Engineer
• Intermediate-level understanding in Linux (or equivalent OS) in a complex IT environment with the ability to triage, debug, and troubleshoot server issues
• Hands-on experience and knowledge of server hardware and components, including storage
• Intermediate-level knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, and network
• Experience managing technical issues and driving to the root cause
• Experience participating in technical projects related to areas such as process improvement, technology, and/or automation
• Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to the audience
• Intermediate-level knowledge of technologies such as HTTP, DNS, RAID, and DHCP
• Experience in providing technical guidance to external vendors
• Experience in debugging, modifying and developing commonly used scripting or programming languages in at least one of these languages: Bash, PHP, Python, SQL, Rust, Go or Perl
• Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console
• Experience using data and metrics to drive decisions

Preferred Qualifications

• Experience in fostering growth in others, and driving influence across all organizational levels
• Experience in a large-scale data center environment
• Experience with large-scale AI implementations
• Six Sigma knowledge/certification
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Main role and responsibilities
• Develop, maintain, and optimize Oracle database stored procedures to support business intelligence and reporting needs.
• Design, build, and manage interactive dashboards and reports using Qlik Sense or Tableau.
• Analyze large datasets to identify trends, patterns, and actionable insights.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Ensure data quality and integrity by performing data validation and cleansing activities.
• Automate repetitive reporting tasks to improve efficiency.
• Document data processes, procedures, and dashboards for knowledge sharing and future reference.
• Provide ad-hoc analysis and support to various business units as needed.
• Collaborate with cross-functional teams to identify data needs and develop effective solutions

Top Must have skills / Primary skills
• Oracle DB stored procedures skills and knowledge
• Dashboard reporting skills and knowledge (Qliksense preferred)
• Strong analytical skills
• Good acumen in data analysis
• Strong understanding of Oracle DB query scripting

Good to have skills (Optional)
• Familiar with Agile process and tools so that can understand develop process and tools to support SDLC
• SAS (Statistical Analysis System) knowledge and experience
• Practical working experience in Python scripting for ETL

This is a high-impact leadership role driving data integrity governance and GxP computerized systems oversight across R&D, Pharmacovigilance, and Medical Affairs on a regional and global scale.

You will play a pivotal role in shaping and executing the Data Integrity strategy, partnering with senior stakeholders across QA, IT, and R&D to ensure robust compliance, inspection readiness, and continuous improvement.

This is an excellent opportunity for a seasoned QA leader to influence enterprise-wide data governance frameworks and contribute to digital transformation initiatives, including AI-enabled QA oversight.

Key Responsibilities

• Lead execution of global Data Integrity strategy across APAC
• Provide QA oversight for GxP computerized systems and business data processes
• Drive audit & inspection readiness, including CAPA and deviation management
• Partner cross-functionally with senior stakeholders across R&D, PV, MA, and IT
• Champion risk-based compliance frameworks and governance models
• Lead continuous improvement initiatives leveraging analytics and emerging technologies

To be shortlisted for the role, you will come with:

• 10–15 years’ experience in QA, CSV, or IT compliance within pharma/biotech
• Strong expertise in data integrity & GxP systems governance
• Proven track record in audit/inspection leadership and CAPA oversight
• Experience working in global, matrixed environments
• Ability to influence senior stakeholders and drive cross-functional alignment
• Fluency in English and the ability to communicate in Mandarin (for stakeholder management) will be an added advantage

Reg. No. R1110770
BeathChapman Pte Ltd
Licence no. 16S8112

Job Description

• 2–6 years of relevant experience in software or data engineering
• Proficiency in Scala/Java and Python
• Strong communication skills with good command of English
• Solid experience with ETL processes, including the Spark Suite (PySpark)
• Hands-on experience with the Hadoop ecosystem (Hadoop, Hive, HDPS)
• Ability to design and develop Data APIs
• Experience with Operational Data Stores (ODS), Master Data Management (MDM), and data modeling
• Proven experience in building data frameworks and data architectures

Nice-to-Have:

• Experience in data warehousing, data lakes, and overall data management, including data processing and optimization
• Intermediate knowledge of Artificial Intelligence (AI) and basic Data Science concepts
• Experience with BI tools, such as Tableau, for dashboard development and reporting

Overview of the Role

A Data Engineer/scientist to develop and maintain the current data flow and data warehouse.

Main Responsibilities:

• Maintain and develop integrations with Xplan, including client-to-adviser mapping to support accurate revenue and commission reporting. 

• Support the transition of member firms from individual adviser codes to corporate codes by ensuring proper client mapping and data consistency within Xplan. 

• Implement and manage ETL (Extract, Transform, Load) processes. 

• Design and develop enterprise data models and data warehouses for clients. 

• Maintain and develop reports in Power BI and Board Pack PDF. 

• Lead data analytics projects, focusing on visualisation and predictive modelling. 

• Understand business data needs and guide appropriate technological resources. 

• Collaborate with cross-functional teams and stakeholders to identify data requirements, particularly during client transitions (e.g., Fortnum Advice and Captegra migration), and design effective solutions. 

• Aggregate and analyze data to generate actionable insights. 

• Develop and maintain reports, dashboards, and other tools for business users. 

• Develop and implement data management policies, procedures, and standards. 

• A graduate in Computer Science, Engineering, or a related field. 

• Minimum of 2 years of experience in a similar or related role. 

• Strong proficiency in SQL, data modelling, and ideally Power BI and Power Query. 

• Experience working with financial systems or CRM platforms (e.g., Xplan) and an understanding of revenue/commission data structures is highly desirable. 

• Familiarity with ETL processes and associated tools. 

• Working knowledge of Data Lake and Python is a plus but not required. 

• Ability to create clear and concise process documentation. 

• Excellent problem-solving and analytical abilities. 

• Strong communication and collaboration skills. 

• 500K per incident HMO coverage + Dental & Optical benefits ​
• 2-week paid Christmas vacation​
• Electricity & Data subsidies​
• 25K Educational Assistance ​
• Training and equipment will be provided​
• Fixed Schedule of Mon-Fri from 7 AM to 4 PM​

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Requirements

• Minimum 8 years of experience in data engineering or related roles
• At least 2–3 years of hands-on experience with the Databricks platform
• Proven track record of refactoring legacy code into modern frameworks
• Strong experience building and maintaining production data pipelines at scale
• Experience working with diverse data sources and formats (structured, semi-structured, unstructured)
• Familiarity with Agile development methodologies and cross-functional collaboration

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, or GCP)
• Strong programming skills in Python, Scala, or SQL
• Experience with Spark and distributed data processing frameworks
• Knowledge of data governance, security, and compliance best practices

Required Certifications

• Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional certification

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As a statutory board under the Ministry of Education, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow SSG into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

• Develop and drive SSG’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instil best practices​​​​​​

The Manager is integral to driving data-centric projects and supporting the enhancement of SSG Data Analytics Environment (DAE). This role involves ensuring data quality, facilitating analytics processes, and empowering stakeholders through insights and training. The position supports our mission to leverage data for strategic development andoperational excellence.

Data Analytics Support

• Perform data cleaning, pre-processing, and feature engineering to support advanced analytics projects
• Conduct data manipulation, create workflows, and maintain analytics datasets in SSG’s DAE
• Collaborate with data analysts across SSG divisions to ensure data quality and support data needs
• Assist in training internal stakeholders to use tools within SSG's DAE
• Support WoG data sharing arrangements
  
  Product Testing

• Collaborate with development teams to understand product functionalities and data migration approaches
• Ensure comprehensive testing coverage by identifying, documenting, and tracking bugs and issues through resolution
• Work closely with contractors to prioritize and implement fixes
  
  Data Project Management
  
• Actively monitor project timelines and milestones, communicating progress to stakeholders
• Collaborate with vendors to ensure comprehensive and accurate documentation for SSG’s DAE
• Prioritize tasks to meet project objectives efficiently
  
  Data Management Strategy

• Understand principles of data governance and management, and able to apply Whole-of-Government (WOG) compliance requirements to SSG’s context
• Support data management and exploitation

Requirements

• Possess the required competencies to execute the job duties proficiently
• Strong knowledge in SQL is essential
• Proficiency in Python, and Tableau
• Self-motivated, resourceful, and meticulous, with the ability to work independently and in teams
• Strong project management, planning, time management, and organizational skills
• Strong analytical skills with a keen eye for detail
• Strong command of written and spoken English, with the ability to communicate ideas, data, concepts, and outcomes of analysis clearly to business users
• Experience supporting and working with cross-functional teams in a dynamic, fast-paced environment is advantageous.

Successful candidates will be offered a 1-year contract with potential for a 1-year extension and consideration for permanent tenure thereafter.

http://www.myskillsfuture.gov.sg/Candidates are encouraged to sign up for a Careers & Skills Passport (CSP) account and include your CSP public profile in your resume. Please check out www.myskillsfuture.gov.sg for details on the CSP.

Senior Data Analyst

We are looking for a Senior Data Analyst to drive data transformation and enable trusted, data-driven decision-making across the APAC region.

In this role, you will lead the development of scalable data solutions using modern data platforms and BI tools, while leveraging AI-driven insights (e.g., Copilot, forecasting, anomaly detection) to support business outcomes. You will work closely with stakeholders to ensure data is reliable, accessible, and actionable.

Key Responsibilities

Drive AI-Enabled Insights

• Develop and deploy AI-driven use cases such as forecasting, anomaly detection, and KPI insights

• Enable natural language querying and self-service analytics for business users

• Support adoption of AI-powered tools for decision-making

Build Scalable Data Solutions

• Design and optimize data pipelines using modern data platforms (e.g., Microsoft Fabric / Azure)

• Develop data models and interactive dashboards using Power BI

• Standardize data architecture and reporting frameworks across regions

Strengthen Data Governance

• Implement data governance and lineage solutions (e.g., Microsoft Purview)

• Define data ownership and ensure consistency of KPIs

• Improve data quality, transparency, and compliance

Business Partnership

• Translate business requirements into data and AI solutions

• Act as a trusted advisor to stakeholders across functions

• Drive adoption of data-driven practices and tools

Requirements

• 3–5 years of experience in data analytics, BI, or data platform roles

• Strong hands-on experience with Power BI and data modeling

• Experience with Microsoft Fabric / Azure Data Platform is preferred

• Exposure to AI tools (e.g., Copilot, Azure OpenAI, or similar) is a plus

• Experience in data governance tools (e.g., Microsoft Purview) is advantageous

• Strong communication and stakeholder management skills

Interested candidate who wish to apply for the advertised position, please click “Apply”. We regret that only shortlisted candidates will be notified 

EA License No.: 01C4394 (PERSOL Singapore Pte Ltd) 

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