Total 1,336 data entry job vacancies in Information Technology category in Singapore

Game changer, armed with data.

You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.

What a Data Scientist does in Titansoft

• Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements
• Apply statistical and machine learning techniques to build models for user classification, fraud detection and other objectives
• Identify, understand and solve business problems based on the company's overall targets and design experiments to answer targeted questions
• Develop and automate reports for analytical purposes
• Support key decision makers to improve products and services

What we are looking for in a Data Scientist

Qualifications

• Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications

Experience

• Experience working with cloud services (e.g. Google Cloud Platform)
• Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
• Experience in measuring cost and production
• Experience in scripting with SQL

Skills

• Knowledge of Statistical model and/or machine learning modelling
• Proficiency in Python (must), SQL or other programming languages
• Strong problem-solving skills
• Data visualization (such as Tableau, Excel, etc)
• Ability to translate analysis results into business recommendations and insights
• Ability to present the insights clearly to technical and non-technical audiences
• Strong written, verbal communication and presentations skills

What makes a (Super!) Data Scientist in Titansoft AKA the "great to haves"

• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation

What everyone gets in Titansoft (psst. We didn't get that Great Place to Work in 2024 for nothing!)

• 18 days of rest and relaxation for each year (P.S. It gets even better over the years!)
• Competitive salaries and bonuses bench-marked against big players in the industry (Yeap, those companies!)
• Flexible working hours (Sleep in a little longer after fixing that pesky bug from last night)
• Comprehensive insurance coverage Wellness fund (Fexibilty to use it for medical, dental, EAP or even attraction parks!)
• Very well-stocked pantry (We've never heard of the term 'Hunger Games', nope)
• Communities of Practice and Workshops catered for your growth and learning
• Substantial subsidies and programs to keep that creative flow while having fun (Health promotion program, annual overseas company outing, an annual dinner that nobody will ever forget, etc.)
• Hardcore work and hardcore fun!

Working at Titansoft will probably be unlike any other careers you have ever had. Discover why you should join us!

We have been alerted that Titansoft's name has been misused in scam calls and emails. We only request personal or bank information after candidates complete our interview process and are formally invited to our office, and all official emails come from "@titansoft.com.sg". If in doubt, contact our hotline to verify and report any suspected scams to the police.

Job Summary:

We are seeking a Data Analyst to support product decision-making through experimentation, data analysis, and reporting. This role will work closely with product and cross-functional teams to drive data-informed improvements and optimize product performance.

Job Responsibilities:

A/B Testing & Experimentation

• Design, execute, and analyze A/B tests to evaluate BT product features and optimizations
• Partner with the BT Product Manager to define success metrics and measurement frameworks
• Document testing methodologies, learnings, and best practices

BAU Data Analysis & Reporting

• Analyze and report on core BT product metrics, including DAU/MAU and app downloads, etc.
• Build dashboards and reports to track product health and performance trends
• Provide regular data updates to support product planning and decision-making

Cross-Team Collaboration

• Support the broader EMTM team in scaling data-driven product iteration across publications
• Translate data into clear, actionable insights for non-technical stakeholders

Job Requirements:

• 1–2 years of experience in a data analyst or similar role
• Strong proficiency in SQL, with hands-on experience in Athena and BigQuery
• Solid understanding of A/B testing methodology and statistical analysis
• Experience with data visualization tools (e.g., Looker, Tableau, Google Data Studio)
• Strong communication skills and ability to present findings clearly
• A collaborative mindset and willingness to learn

Key Responsibilities:

• Collaborate with business stakeholders to gather, analyze, and document requirements
• Translate business needs into functional specifications and support technical design discussions
• Work closely with data engineering and development teams for implementation
• Perform data analysis and validation using SQL queries
• Ensure alignment of deliverables with business objectives and timelines
• Participate in project lifecycle activities including requirement gathering, UAT, and deployment
• Drive problem-solving initiatives with minimal supervision

Required Skills & Qualifications:

• 8–12 years of experience in Business Analysis / Data Analysis within the data domain
• Strong communication and stakeholder management skills
• Proven ability to work independently and in team-oriented environments
• Experience in writing Functional Specifications and supporting Technical Design
• Hands-on experience with SQL (basic to intermediate level)
• Strong analytical and problem-solving mindset

Preferred Skills:

• Experience working with Data Warehouse / Data Lake environments
• Exposure to Finance Risk Modeling or financial domain projects

Responsibilities:

• Building and maintaining comprehensive data analytics capabilities for the PathFin.ai Programme to generate actionable insights
• Developing analytics frameworks to track participant engagement, AI adoption trends, and Programme effectiveness metrics
• Creating interactive dashboards for Programme monitoring, stakeholder reporting, and strategic decision-making
• Identifying potential leads and opportunities for Programme expansion based on data analysis
• Generating automated reports on platform usage patterns, event attendance, and knowledge contribution rates
• Providing data-driven recommendations to support Programme growth, participant satisfaction, and operational efficiency

Requirements:

• 5 years of experience in data analytics or similar roles
• Experience with dashboards and reporting
• Build and manage data systems to track Programme performance
• Analyze data to find useful insights (e.g. user activity, trends)
• Create dashboards for reporting and decision-making
• Generate automated reports (usage, events, engagement)
• Identify growth opportunities using data

Skills needed:

• Data analysis (SQL, Excel, Python or similar)
• Dash board tools (Power BI, Tableau, etc.)

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
As an experienced technology professional, you will be responsible for:

• Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
• Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable Data Analytics and ML solutions on AWS to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
• Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into delivery
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data Analytics and machine learning
• Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

Basic qualifications

• 7+ years of technical specialist, design and architecture experience
• 7+ years of external or internal customer facing, complex and large scale project management experience
• 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
• 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

Preferred qualifications

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
• AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred.
• Experience with automation and scripting (e.g., Terraform, Python)
• Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
• Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI.
• Ability to obtain Singapore government security clearance.

About the Team:

Shopee’s Data Infrastructure team builds the company’s stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform. Including data collection, storage, offline calculation of massive data, real-time stream computing, online analysis and processing, instant return query, and other aspects of data infrastructure support, as well as big data development, production scheduling, data quality monitoring, data maps, and other platform services. Provide the upper-level business team and data team with a basic platform for various technical directions such as computing scheduling, batch computing, real-time computing, structured data query, big data analysis, and KV query. Help business teams build data reports, data monitoring dashboards, real-time business data processing, data mining, and analysis, etc.

Job Description:

• Manage one of the Data Suite products, including but not limited to Data Map, Data Integration, Data Development, Data Management, Data Quality, Data Services, Data Metrics, Data Visualisation, etc.

• Responsible for requirements analysis, product design, product prototyping as well as product operation.

• Understand user needs and big data use cases, abstract complex requirements or scenarios into solutions, and implement them in the product to empower users.

• Develop and maintain user relationships and communication channels with users, synthesize product features from users’ requirements and feedback.

• Explore and continuously learn the best practices from the big data industry, and continuously plan the product blueprints in the long term.

Job Requirements:

• Bachelor’s Degree or higher in any field.

• At least 1 year of full time product management / technical product management experience.

• Prior experience with data-related products is preferred, as this role supports the Data Infrastructure team.

• Familiarity with the full data lifecycle, including management, development, and product application

• Excellent stakeholder management and cross-functional collaboration skills

• Strong logical thinking with a proactive, service-oriented mindset.

Job Description

• Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.

• Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.

• Translate business data requirements into technical specifications and scalable solutions.

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.

• Design and implement secure, cloud-based data infrastructure and access mechanisms.

• Monitor and optimize ETL systems and databases for performance, reliability, and scalability.

• Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.

• Collaborate with data stewards to enforce data governance, quality, and security policies.

• Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.

• Develop standardized approaches for assessments, discovery, and solutioning grounded in best practices.

• Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Requirements

1. Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

2. 5–10 years of experience in data engineering, cloud infrastructure, or platform engineering, with strong foundation in data system design, data structures, algorithms, and data architecture modelling.

3. Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop), along with proficiency in Python and SQL.

4. Experience with orchestration and DevOps tools (Airflow, Azure Data Factory, Docker, Git, Terraform), CI/CD pipelines, and infrastructure-as-code practices; familiarity with Databricks, Snowflake, or Denodo and building batch/real-time data pipelines.

5. Strong understanding of data governance, security, and privacy (especially in public sector environments would be an added advantage), with excellent communication, stakeholder management, and mentoring capabilities.

This is a 1-year Contract position under People Advantage(Certis Group). We appreciate your application and regret only shortlisted candidates will be notified.

By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (www.certisgroup.com/privacy-policy).

EA Personnel Name: Siti Khatijah

EA Personnel No: R22111204

EA License No: 11C3955

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Additional job description

Enterprise Data Protection (EDP) is focused on protecting Google from exfiltration of intellectual property. 

In this role, you will work on an engineering team that builds software systems that implement an array of security controls to prevent accidental or malicious data exfiltration. This will include threats that originate from human or autonomous AI agentic actions. You will lead large parts of the systems involved, independently designing and guiding other engineers on implementation. You will be a critical part of creating a culture of engineering excellence in the team. You will work with cross-functional stakeholders across geo locales.

Qualifications

Job responsibilities

• Implement holistic, next generation security controls that are context aware across all Google systems storing intellectual property.
• Work with Security Engineers, Product Managers, Technical Program Managers, and partner teams to implement preventive data exfiltration controls.
• Lead other engineers on designing and building controls for systems, including workspace, chrome, bug manager, corporate endpoints, and access management.
• Lead the engineering effort to design and implement automatic AI-based classification systems, ensuring controls are effective against threats from agentic AI.
• Help onboard other engineers and foster a culture of engineering excellence across the team.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, C++ or equivalent codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience with designing and operating large-scale distributed systems.
  

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in AI-driven large-scale data reasoning and inference processes.
• Experience in AI, specifically in agentic software engineering.
• Proven track record of supervising teams of 4-5 engineers, providing direct coaching and professional mentorship.
• Familiarity with cybersecurity solutions and related product landscapes.
• Ability to integrate rapidly into new team environments while facilitating the onboarding of fellow engineers.

About the company
A leading financial services group with a strong global presence is looking to expand its regulatory and governance capabilities in Singapore. The organization is recognized for its commitment to excellence and long-term stability in providing comprehensive risk management solutions.

About the job

This is a critical senior position within the compliance division focused on spearheading the organization's data governance strategy and ensuring alignment with regional regulatory standards.

• Lead the end-to-end development and implementation of the corporate data governance framework, including all associated policies and standards.

• Establish robust data lifecycle protocols and classification schemes to ensure information is managed securely and efficiently across the business.

• Design and execute monitoring mechanisms to evaluate data quality and integrity across various enterprise systems and databases.

• Drive data literacy initiatives across all business units to strengthen organizational understanding of data control and management obligations.

• Collaborate closely with the Data Protection Officer and key stakeholders to assess risk levels and monitor the effectiveness of governance controls.

Skills and experience required

• At least 6 of specialized experience in data governance or data management within the financial services sector.

• Proven track record in developing and maintaining data governance framework, policies, and procedures.

• Strong analytical and project management abilities with a focus on resolving complex governance issues.

• Exceptional stakeholder management skills with the ability to provide advisory support to diverse business units.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim. (EA: 94C3609/ R1435181 )

Job Description

• Industry/ Organization Type: Cleaning/ Maintenance Services
• Position Title: Data Centre Cleaning & Maintenance Technician
• Working Location: Islandwide
• Working Hours: 6 days (Mon-Sat, 9am – 6pm)
• Salary Package: Basic + OT + Performance Bonus + Extra 2 days Leave/ month
• Duration: Permanent

Key Responsibilities

• Carry out cleaning tasks at assigned sites (e.g. vacuuming, mopping, disinfecting, etc.)
• Support installation works as instructed.
• Inform supervisors when supplies are low, equipment is damaged, or facility issues need repair.
• Assist with deliveries.
• Perform general housekeeping in the warehouse and storage areas.
• Follow safety and cleanliness requirements.
• Use cleaning and maintenance equipment safely and properly.
• Perform any other duties assigned by the Manager or Management.

APPLY NOW!!!

• Comfortable using cleaning tools and equipment.
• Willing to learn and adapt to different tasks and responsibilities.
• Basic English skills (able to read instructions and communicate).
• Willing to work overtime when needed, including after hours and weekends.
• Able to work well in a team and independently with minimal supervision.
• Good communication skills; responsible and reliable.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82315 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

We are seeking highly motivated and skilled Data Center/IDF/MDF Smart Hands Support Engineers (L1 & L2) to join our dynamic team. As a Smart Hands Engineer, candidates will be responsible for providing remote and on-site technical support for our critical data center infrastructure, including IDF/MDF rooms. Techs will perform a range of tasks, from basic troubleshooting and equipment handling to more complex issue resolution and project implementation.

This role requires a strong understanding of data center environments, excellent technical skills, and a commitment to delivering exceptional customer service. Willingness to travel locally within Singapore and internationally across APAC.

Responsibilities:

• L1 & L2 Support: Provide first and second-level technical support for data center infrastructure, including servers, network devices, storage systems, power infrastructure (UPS, PDUs), and environmental monitoring systems.

• Remote Hands Support: Execute remote instructions from senior network engineers, including server reboots, basic troubleshooting steps, and equipment configuration changes.

• On-Site Support: Perform on-site tasks such as equipment installation, racking and stacking, cabling, visual inspections, and component replacements.

• Troubleshooting & Diagnostics: Diagnose and resolve technical issues related to hardware, software, and network connectivity. Escalate complex issues to L3 engineers or vendors as needed.

• Monitoring & Alerting: Monitor data center infrastructure for performance and availability, responding to alerts and notifications in a timely manner.

• Documentation: Maintain accurate records of all work performed, including trouble tickets, incident reports, and equipment inventory.

• Preventative Maintenance: Participate in preventative maintenance activities to ensure optimal performance and reliability of data center equipment.

• Vendor Management: Work with vendors to resolve technical issues and coordinate equipment repairs and replacements.

• Project Support: Assist with data center projects, such as new equipment deployments, upgrades, and expansions.

• Adherence to Procedures: Follow established procedures and best practices for data center operations and safety.

• IDF/MDF Management: Maintain and support IDF/MDF rooms, including cable management, environmental monitoring, and equipment organization.

Requirements:

• Diploma/Degree in Electronics, Electrical Engineering, Computer Science, or a related field.

• L1: 0-2 years of experience in a data center or IT support environment. Freshers with relevant technical certifications are encouraged to apply.

L2: 2-5 years of experience in a data center or IT support environment with demonstrable L2 support capabilities.

Technical Skills:

• Solid understanding of data center infrastructure, including servers, network devices (routers, switches, firewalls), storage systems, power infrastructure, and environmental monitoring systems.

• Experience with operating systems (Windows Server, Linux) and virtualization technologies.

• Basic networking knowledge (TCP/IP, DNS, DHCP).

• Proficiency in using ticketing systems and documentation tools.

• Strong troubleshooting and problem-solving skills.

• Experience with cabling standards and best practices.

Familiarity with IDF/MDF room standards and best practices.

Additional requirement:

• Willingness to travel locally within Singapore and internationally across APAC.

Certifications (Preferred):

• CompTIA Server+, Network+, A+

• ITIL Foundation

• Data Center certifications (e.g., CDCP, CDCS)

We are seeking a detail-oriented and analytical individual to support digital content operations and performance tracking. This role focuses on ensuring content accuracy, managing workflows, and generating insights to improve overall digital performance.

Key Responsibilities:

Content Management & Operations:

• Manage daily website content updates, uploads, and maintenance, including listings, metadata, and digital records
• Process content update requests from internal teams and external stakeholders efficiently
• Coordinate content approval workflows in line with established standards and compliance requirements
• Perform thorough quality assurance checks before content goes live
• Monitor published content to ensure accuracy, consistency, and relevance

Analytics & Reporting:

• Extract and compile performance data for regular reporting
• Support trend analysis to identify insights from datasets
• Assist in preparing reports on campaign performance and user engagement
• Collaborate with cross-functional teams to support funnel and performance analysis

Requirements:

• Basic data analytics skills with ability to interpret data and identify trends
• Proficiency in Excel or Google Sheets, including handling CSV files
• Strong written and verbal communication skills
• High attention to detail with a strong focus on data accuracy
• Ability to adapt quickly and learn new tools and systems
• Strong problem-solving skills to resolve content and data issues
• Experience with web analytics tools and performance tracking
• Knowledge of data extraction and automated reporting processes
• Understanding of digital marketing funnels and conversion metrics
• Familiarity with content management systems and website maintenance

Responsibilities

• Gather and analyse requirements from business.
• Perform data discovery and analysis from the bank’s data platform to ensure requirements are feasible.
• Conceptualise dashboard design through wireframes and prototypes.
• Build complex visualizations in QlikView and other BI visualisation tools, that will help derive insights for user.
• Apply best practices on user interface/user experience (UI/UX)
• Support the publication of the dashboard in production.
• Conduct trainings and roadshows to promote awareness and usage from target users.
• Assist other data discovery tasks (non-dashboard related) that the team is working on.

Job requirements

• Bachelor’s degree in Business Analytics, Computer Science or equivalent.
• Knowledge in Business Intelligence (BI) tools, Visualization tools, and scripting
• Knowledge in using SQL
• Ability to convert data into meaningful information
• Good problem solving skills
• Good interpersonal, communication and presentation skills
• Effective time and stakeholder management skills

 Thankyou for your interest!

We respect your privacy andall communication will be treated with confidentiality. If you wish to knowmore about this position or explore other roles, please prepare your updatedprofile and get in touch with our consultant at  cristina.malijan@manpower.com.sg

CristinaMalabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement andcommunications with us pursuant to this advertisement will constitute informedconsent to the collection, use and/or disclosure of personal data byManpowerGroup Singapore for the purpose of carrying out its business, incompliance with the relevant provisions of the Personal Data Protection Act2012. To learn more about ManpowerGroup's Global Privacy Policy, please visithttps://www.manpower.com.sg/privacy-policy

Responsibilities

·       Architect and design modern data platforms aligned with industry’s best practices and standards.

·       Develop high-level and low-level technical solution designs for data integration and analytics.

·       Build and optimize database models for efficient data access and storage.

·       Define and implement strategies for data integrity, security, and compliance.

·       Design and implement data quality and governance frameworks.

·       Collaborate with stakeholders, analysts, and engineering teams to deliver scalable data platform roadmaps and solutions.

·       Ensure performance tuning, cost optimization, and adherence to security standards.

·       Mentor technical teams and contribute to best practices documentation.

Skills/Requirement

·       7+ years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Azure data platform covering – ADF, ADLS, Synapse, Microsoft Fabric, Databricks etc.

·       Extensive hands-on experience implementing data ingestion and data processing using Azure services: Data Share, Synapse Analytics, Databricks, Kafka, Nifi, CDC processing, Azure Data Explorer, HDInsight, Data Lake Storage , Snowflake, SQL Database, Cosmos DB, Docker, Azure Functions , Spark, Data Factory, API Management etc.

·       Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Attunity, Golden Gate ,Azure Data Explorer , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc.

·       Design and Implement analytics solutions that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

·       Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

·       Create data tools for analytics and data scientist team members that assist them in building and optimizing products

Interested candidates, who wish to apply for the above position, please send in your resume to: kellyitsg@persolapac.com

PERSOL Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

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This is in partnership with 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 e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolapac.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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- Industrial Automation & Inspection Equipment
- Walking distance from Lavender / Bendemeer MRT
- No prior experience required as training provided​

Responsibilities

• Create, maintain, and analyze sales and market data using Excel, SAP, and company software

• Use data insights to guide sales direction and market development strategies

• Proactively propose ideas to improve sales performance

• Investigate root causes behind sales outcomes and market trends

• Support lead generation, promotional campaigns, and B2B marketing initiatives

• Double-check completed work to ensure accuracy and data integrity

Requirements

• Minimum Bachelor's Degree in any field

• Proficient in Microsoft Excel

• Knowledge of Modern Excel, Power BI, or Power Automate is a plus

• Proactive in proposing ideas for sales improvement

• Curious and analytical – investigates reasons behind outcomes

• Purpose-driven – always questions the "why" behind actions

• High hospitality standards – anticipates and understands others' needs

• Action-oriented – ready to take immediate action

Please send your updated CV to josie.cha@peopleprofilers.com

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

We regret that only shortlisted candidates will be notified.

EA Personnel: Cha Zi Jing Josie
EA Registration No.: R24124843
People Profilers Pte Ltd
EA Licence Number: 02C4944
Tel: 6950 9756