Total 4,037 data entry clerk job vacancies in Information Technology category in Singapore

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

We are looking for a skilled Data Engineer with strong development skills to join our dynamic consulting team. In this role, you will play a key part in designing and building scalable, high-performance data pipelines and applications, while working closely with clients to understand their unique data needs and deliver tailored solutions.

This position requires a solid foundation in data preparation, backend development, and API integration, with a primary focus on Python and React.js for frontend. You will be involved in all phases of the data lifecycle, providing technical leadership, and ensuring successful project delivery through close collaboration with clients.

Key Responsibilities:

· Client Interaction: Lead client interactions, including requirement gathering, technical discussions, and workshops to clearly define project goals and data solutions.

· Data Pipeline Development: Design, develop, and maintain robust data pipelines to process, cleanse, and transform large datasets for various applications.

· Full-Stack Development: Build secure, scalable APIs and integrate third-party services, databases (SQL, NoSQL), and systems while contributing to the development of user interfaces using React.js.

· API Integration: Develop and integrate APIs for seamless data flow between systems, ensuring high performance and security.

· Data Preparation & Processing: Implement data preparation techniques to clean, organize, and structure raw data for analysis, ensuring data readiness for machine learning and AI applications.

· Emerging Technologies: Explore and gain hands-on experience with emerging technologies such as Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).

· Cross-Functional Collaboration: Collaborate with cross-functional teams to deliver high-quality projects within agreed timelines, ensuring optimal data performance and security.

· Continuous Improvement: Stay updated with the latest industry trends and technologies to drive innovation in data engineering projects.

Requirements:

· Passion for Emerging Technologies: A strong interest in staying ahead of the curve with new technologies like Large Language Models (LLM) and Retrieval-Augmented Generation (RAG), with a desire to continuously learn and integrate these into client data solutions.

· Data Engineering Expertise: Minimum of 3 years of experience in data engineering, with a strong focus on Python for backend data processing and React.js for frontend interface development.

· API Development and Integration: Expertise in building and integrating RESTful APIs for data flow and system integration, with experience working with SQL and NoSQL databases.

· Data Preparation Skills: Strong understanding of data preparation, ETL processes, and transforming unstructured or semi-structured data into structured formats.

· Infrastructure and Cloud Knowledge: Solid understanding of infrastructure, cloud platforms (Azure, AWS, GCP, Alibaba Cloud), and familiarity with network and security best practices.

· Consulting Experience: Ability to engage with clients through requirement gathering, leading workshops, and providing technical solutions that align with their data-driven business needs.

· Agile and Version Control Skills: Familiarity with agile methodologies and version control systems like Git, ensuring smooth collaboration and project efficiency.

· Problem Solving & Communication: Strong problem-solving skills with the ability to communicate complex technical information effectively to both technical teams and non-technical clients.

· Client-Focused Approach: Ability to understand client needs and translate them into scalable, high-performance data solutions that deliver value and enhance user experience.

· Track Record: Proven experience leading technical projects, guiding the data development lifecycle from requirements gathering to deployment, while ensuring quality and client satisfaction.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Allied Container Group is a leading container haulage operator and yard operator founded in Singapore in 1975. We are dedicated in using technology to improve the lives of small businesses and consumers in the logistics sector.

As part of the team, we are looking for Data Entry Clerk

Job Highlights

• We offer attractive salary commensurate with work experience
• Great opportunities for learning & career advancement
• Medical, dental & insurance benefits

Job Responsibilities

• Handle daily depot operations activities
• Maintain, update, and ensure accuracy of daily movement report
• Raise estimates of repair of containers for clients
• Attend & respond promptly to customers’ orders & inquiries
• Other ad-hoc duties as assigned by superior

JOB REQUIREMENTS

• GCE 'O' level qualification and above
• 1 to 2 years of working experience
• Able to work independently
• Meticulous and have a keen eye for details with an inquiring mind

Interested Applicants, pls WhatsApp us at 8082 6811 for instant interview

Your Role and Responsibilities :

• The overarching responsibility for the solution representative is to deliver project excellence end to end for the account and grow revenue and increase market share across all parts of Public Sector with a focus on driving the Digital and Data Analytics Agenda.
• Builds relationships with senior client executives, earning a reputation as one of the client's trusted business advisors.
• Skilled in consultative selling, with a deep understanding of the client's industry, business needs and related IBM capabilities.
• Understands and navigates IBM to identify, acquire and coordinate a team of critical resources needed to address client needs.
• Develops and executes a relationship plan to address both IT and Line-of-Business
• Integrates IBM in front of the customer providing one face, one IBM strategy for the client.
• Understands IBM business and strategies and how these translate into solutions which address client needs.
• Deep understanding in the Singapore Public Sector, including industry trends, industry business processes, industry financial measurements and performance indicators, and key client competitors in their industry. Leads the development of the overall account plan and has primary responsibility for identifying and prioritizing opportunities and developing client-valued solutions involving multiple brands and elements.
• Possess strong industry knowledge in Singapore Public Sector and bring industry based thought leadership to clients
• Collaborate with IBM's Public Sector thought leaders, executive and specialists to bring strong, provocative value propositions to key clients

Required Professional and Technical Expertise :

• Experience in proposal development during the engagement phase is required
• Candidates from a similar role with Digital Transformation, Data & AI experience
• Understand the Singapore Public Sector and what issues/challenges are facing Public Sector providers
• Ability to build executive relationships with C-Suite and executives across client organizations
• Must understand the breadth of IBM's capabilities and offerings to bring the right solutions to your clients
• Needs to have demonstrated communication skills - can create compelling value propositions for your customers and can coordinate IBM team to deliver what your customers need.
• Experience and results in strategic initiatives (with an understanding of cloud, mobility, security, cognitive..)

Preferred Professional and Technical Expertise :

• Build executive relationships
• Lead cross functional teams to deliver solutions

Job Description

• Maintain timely deliverable and accuracy of all business reporting and dashboards.
• Collaborate with the different business departments to understand analytical needs and translate them into data requirements
• Work with analytics team to optimize the data flow and automate various data sources.
• Daily interaction with dashboard, CRM, and other database on data investigation to track performance of specific business needs.
• Translating all the data insights to help in making informed marketing, sales, and business strategies.
• Work with local and global analytics teams to drive digital transformation and training.
• Lead ad hoc projects to optimize processes and/or improve the quality of the database.

Requirements

• Bachelor's degree in Data Science, Statistics or equivalent
• Strong analytical skills, capable of using data analytics to drive business insights and execution
• Experience with data visualization tools (Power BI, Tableau, or similar BI reporting platform)
• Knowledge of Salesforce, CRM, Python would be advantageous

Interested candidates are invited to email your resume to:

[email protected]

Jenalyn Ooi Huai Sian (R1765551)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

We regret only suitable candidates will be shortlisted for an interview.

Regional Data Privacy Officer – Asia (VP Level)

Industry: Financial Services

Remit: Asia Pacific

Location: Singapore

Ideal profile: 8-10+ years of relevant experience in data privacy

As the Regional Data Privacy Officer for Asia, you will play a vital role in ensuring compliance with local data privacy laws and alignment with group-wide policies. In this VP-level position, you will be responsible for establishing, implementing, and monitoring data privacy practices and policies, acting as the primary contact for privacy-related matters in Asia.

Key Accountabilities:

• Ensure that company policies comply with local data privacy laws and group policies.
• Serve as the primary point of contact for data privacy issues.
• Develop and update data privacy policies, guidelines, and procedures, consulting with relevant stakeholders.
• Lead and/or participate in responses to data privacy incidents.
• Conduct data privacy self-assessments to identify gaps and implement remediation actions.
• Oversee the data privacy impact lifecycle, including cross-border data transfers.
• Design and implement training programs for staff involved in data handling and processing.
• Foster a culture of data privacy and compliance across the organization.

Experience & Qualifications:

• 8-10 years of experience in data privacy and protection, specifically within financial services.
• Proven experience operationalizing data privacy initiatives.
• Strong knowledge of local data privacy laws across multiple jurisdictions, such as PDPA, PDPL, PIPL, and Personal Data Ordinance.
• Background in legal, audit, or risk management is a plus.
• Professional certification in data privacy (e.g., CIPP/A/E, CIPM, CIPT) is preferred.
• Excellent verbal and written communication skills, with a strong attention to detail.

Compensation

Salary Competitive, depending on experience

SLOANE SHOREY

Risk | Compliance | Intelligence | Investigations

www.sloaneshorey.com

We partner with leading organisations to attract and retain highly skilled professionals in compliance, risk, intelligence and investigations.

Our clients include tier-1 corporations from Asia, Europe, and the US, as well as global law firms and specialist consultancies, operating across sectors including aerospace & defense, aviation, banking & financial services, data centres, engineering, manufacturing, and technology.

Established in Singapore in 2017, we execute assignments across Asia and beyond.

Sloane Shorey is a Ministry of Manpower Licensed Employment Agency: EA License 20S0307

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

Follow us for more updates, interview tips!
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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Roles and Responsibilities:

• Use Java, SQL scripts to extract data from primary and secondary sources
• Develop dashboards and data visualizations to serve business needs.
• Use Python scripts and clean, process, transform and visualize data
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining data in databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Preparing reports for stakeholders stating trends, patterns, and predictions using relevant data, with the aim of driving stakeholder action on their businesses/functions
• Building dashboards and curating data stories for use cases

Skills Required:

• Minimum of 5 years of professional experience in both Java and Python development.
• Bachelors/ master’s degree in computer/ information Technology
• Strong proficiency in Java, Python, and C++ scripting skills is essential
• Prior experience with Oracle, MySQL, DB2 & MariaDB
• Prior experience with Apache Kafka, MQ(IBM)
• Knowledge of how to create and apply the most accurate algorithms to datasets to find solutions
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Strong mathematical skills to help collect, measure, organize and analyze data
• Adept at queries with good communication and stakeholder management skills

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 fulfill 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 internship offers hands-on experience working on data science projects for our clients. As an intern, you'll gain valuable skills in understanding client business needs, data preparation, data analysis, and using machine learning models to derive insights. You'll work closely with our clients under the guidance of experienced professionals.

Our Data Science Internship program has the potential to lead to a permanent position at our company. The minimum duration of the internship is six months.

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in data science. Proficiency in SQL and Python programming is required, and familiarity with Hadoop, Sparks, and its libraries is preferred.

Experience with Graph Databases like Neo4j or AWS Neptune is a plus.

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

Responsibilities:

Lead the patch management process, including the timely deployment of patches and its relevant updates to ensure the security, stability, and performance of Business services. Responsible for the coordination of all Systems Engineering patching activities for customer server operating systems in accordance with agreed upon schedules with the customer(s). Prepare the patch deployment calendar and publish to all stakeholders. Supervise the day-to-day operations of IT Patch Management team providing some guidance in the related area, encouraging teamwork. Supervise the activities and work of subordinates to ensure that all work within a specific area is carried out in an efficient manner and in compliance. Oversee the execution of patches & updates deployments, closely monitoring progress, and addressing any issues or roadblocks that may arise. Ensure that deployments are conducted according to the defined plans, with minimal disruptions to end-users or services performance and availability Collaborate with various stakeholders, including IT teams, Information security teams, vendors, and business units, to gather requirements, communicate patches schedules, and address concerns. Effective communication and coordination are critical to ensure smooth patches operations and minimize the risk of system vulnerabilities Collaborate with incident management teams to address security incidents related to vulnerabilities or unpatched systems. Develop incident response plans and participate in incident investigations and remediation efforts Run monthly/quarterly compliance reports and identify required patches. Participate in monthly patch review and schedule meetings to review patch calendar. Prioritize and schedule mutually agreed system patching and maintenance. Preventive/Proactive Support Able to support on weekend as and when required.Required Technical and Professional Expertise (Mid to Expert Level) A Bachelor s degree or equivalent in Information Systems or related field Having 8+ years of related experience. Knowledge of Infrastructure Patching tools like SSCM, Bladelogic, Bigfix., etc. Knowledge of using Jira. Good understanding of large Data Center Facilities operation Experience in Managing 10+ member team. Strong understanding of server operating systems and patching process. Managed Services or consulting experience is a plus. Excellent understanding of the organization s goals and objectives. Ability to conduct research into systems issues and products as required. Highly self-motivated and directed.

Able to prioritize and execute tasks in a high-pressure environment. Strong customer service orientation. Ability to lead team, collaborative environment.

(1.) To provide support for on call escalations and doing root cause analysis of given issue

(2.) To independently resolve tickets within agreed SLA of ticket volume and time

(3.) To adhere to quality standards, regulatory requirements and company policies

(4.) Work on value adding activities such Knowledge base update and management, Training freshers, coaching analysts

(5.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions or Reopen Cases

Job Responsibilities:

• Participate in designing solutions that meet functional requirements
• Implement end-to-end specifications for solution components
• Generate relevant documents and reports
• Perform testing and implementation of solutions
• Participate in UX activities such as creating wireframes/storyboards, conducting user research/interviews and developing user stories, storyboards
• Contribute to the SDLC in the areas of coding tools, languages, and software designs

Job Requirements:

• Min diploma/degree in Computer Science or any IT related field
• Familiarity in any of the programming languages: Java, Javascript, Python, C++, C# etc
• Proficient in Web Technologies like HTML, CSS
• Excellent working attitude and a strong team player

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

This is a 12-month contract role open for Singaporeans ONLY.

Minimum Requirements:

• CAT-1 cleared/eligible candidate is required for this role.
• Minimum of 3 years' experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.
• Good to have: Snowflake / Denodo.

UEN: 199700895N

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous
• Only Singaporeans

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile

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

https://go.persolkelly.com/job/apply/7636

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY 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.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

Job Overview

We are looking for an experienced Data Science & Engineering expert to join our team and be responsible for data collection and preparation for large language models (LLMs). You will be responsible for sourcing high-quality data from various sources, managing external annotation teams, and working closely with the R&D team to ensure model training and optimization.

Key Responsibilities

Data Acquisition:

- Responsible for data collection for large language models, including:

- Sourcing ready-made data from public datasets, commercial data providers, etc.

- Developing data scraping tools to acquire data from the internet and other sources.

- Managing external annotation teams to ensure high-quality data annotation.

Data Preparation:

- Collaborate with the R&D team to define data annotation rules and quality standards.

- Review annotation results to ensure data quality meets model training requirements.

- Explore industry-leading data production methods to continually optimize data acquisition and preparation processes.

Data Compliance:

- Collaborate with the legal team to handle data compliance issues, ensuring data acquisition and usage comply with relevant laws and regulations.

Team Management:

- Responsible for recruitment and management of internal data products or operations teams.

Qualifications

Minimum Qualifications

1. Experience in traditional AI data collection or data annotation areas.

2. Excellent communication skills, strong initiative, excellent product and business integration capabilities, strong execution and results-oriented.

3. Proven experience in leading overseas teams.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Purpose:

This position is responsible for analysis and reporting for our ecommerce business, encompassing multiple customer touchpoints across the website, customer care, and digital. This person will play a key role in supporting our ecommerce team, including identifying opportunities for improvement, expanding our analytics capabilities, and delivering actionable insights about the business.

Minimum Eligibility Requirements:

• Bachelor's degree in analytics, business, or a related quantitative field (relevant experience can be substituted for the required education on the basis of one calendar year of experience for one academic year of education)
• 2+ years working in an analytics role, with a focus on digital and/or call optimization preferred
• Demonstrated experience in data extraction/shaping (e.g., SQL), statistical analysis (e.g. R, Python), and data visualization tools (e.g. Power BI, Tableau)

Responsibilities:

- Create TDS/Harmonized layer for IFRS.
- Enhancements on Data Orchestration and ETL jobs to incorporate the upstream changes.
- Support Historical Data Loading batch runs.
- Support Fixing BAU issues.
- Address the issues identified during the Historical Data Loading
Work with development teams and product managers to ideate software solutions.
- Build Data Pipelines and Data Ingestion jobs for sourcing Data.
- To incorporate the enhancements done in Source System.
- Troubleshoot, debug and upgrade the ETL and Data Ingestion pipelines.
- Prepare technical documentation and process flow documentation.
- Work with data scientists and analysts to improve software.

Qualifications and Requirements:
- Bachelor’s degree with 1 year of hands–on experience developing applications.
- Proven experience as a Full Stack Developer or similar role with AWS Cloud knowledge.
- Familiarity with databases RDS, MySQL, Apache web servers, Oracle, MS SQL Servers.
- Knowledge of back-end languages Python, Java, and frameworks like Angular, React, Node.js.
- Excellent communication and teamwork skills.

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Responsible to manage system development, implementation and support of EAI applications, including:

• Develops applications that effectively accomplish client objectives and user needs.

• Designs and writes code for applications and maintain applications databases.

• Analyzes and edits existing software applications to improve and optimize functionality, fix problems, and enable their use on new hardware platforms.

• Remodels and adapts applications as needed to optimize performance.

• Identifies specific client needs and preferences related to the application.

• Tests applications extensively to ensure they are error and bug-free.

• Installs applications and acts as technical advisor.

• Communicates with relevant internal technical stakeholders to obtain information on project limitations, performance requirements and interfaces.

• Consults with clients in the design phase to determine client needs.

• Produces software documentation following company/client software process and templates.

• Participates in software product review meetings and team meetings.

• Performs any other related task as required.

Key Requirement

• Bachelor's degree or equivalent in computer science or software engineering or related field.

• Seasoned Software Applications Engineering, Software Development experience, or related work experience.

• Seasoned experience with Programming Languages such as (but not limited to) ANSI C, C++, and Unix Korn Shell programming

• Seasoned experienced with Linux or Unix and Windows operating systems.

• Seasoned experience working with Oracle Tuxedo, IBM MQ Series.

• Experience in banking or financial industry

• Certification in various programming languages, for example (but not limited to) Java, Perl, Python, C++ preferred.

Highlights:

• Fortune 100 MNC
• Permanent job opportunity
• Great remuneration & benefits
• Great career progression
• With experience in AIGC (AI-Generated Content) is preferred.
• Location: Suntec City

Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development
• Overseas process development support for short term assignments

Requirements:

• Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp.

1. Computer Science
2. Data Science
3. Statistics Applied Sciences, or related field

• Programming skills : Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email to [email protected] with provided your latest resume in MS WORD format with below information.

• Last drawn salary
• Expected salary
• Notice period
• Reason for leaving

We regret only shortlisted candidates will be notified.

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Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Charmaine Tin Zi Jin

EA Personnel Reg No: R23113892

• Location: Kallang Sector
• Coantract until Jun 2026

• Perform daily operational duties for Manual and Remote reading related activities via the various meter reading and billing systems
• Following up with relevant parties to resolve daily operational issues
• Perform User acceptance testing for meter reading and billing system changes and upgrade activities
• Attend to enquiries via Case Activities, telephone and emails
• Any other ad-hoc duties as assigned by supervisor

Interested applicants may email resume to [email protected]

Cheryl Lee Shi Le (CEI Registration No: R1434624)

Recruit Express Pte Ltd (EA: 99C4599)

Responsibilities

• Ensure timely and accurate delivery of all key business reports and dashboards.
• Collaborate with various business departments to understand analytical needs and translate them into data requirements, establishing clear metrics and definitions.
• Coordinate with the analytics team to optimize data flow and automate multiple data sources.
• Conduct daily interactions with dashboards, CRM, and databases to track performance and investigate data related to specific business needs.
• Generate value for APAC by transforming data insights into actionable marketing, sales, and business strategies.
• Partner with local and global analytics teams to drive digital transformation, training, and solution adoption.
• Collaborate with management to prioritize insights generation through data mining and analysis.
• Lead ad hoc projects aimed at optimizing processes and enhancing database quality.

Requirements

• Bachelor’s degree or higher in Data Science, Business Analytics, Statistics, Computer Science, Mathematics, or Information Management.
• 1-2 years relevant working experience
• Strong analytical skills, capable of using data analytics to drive business insights and execution
• Experience in solving the business problems by analytical method (modelling, visualization, graph analysis)
• Experience with data visualization tools (Power BI, Tableau, or similar BI reporting platform)
• Knowledge of Salesforce, CRM, Python would be advantageous
• Excellent knowledge of Microsoft Office suite, especially in PowerPoint & Excel
• Strong communication skill
• Team player with strong interpersonal skills and ability to collaborate with multiple stakeholders
• Must be comfortable in a fast-paced, dynamic, and rapidly changing environment while working under pressure and tight date-lines
• Experience in Digital Marketing (Marketo, Google, Facebook, etc.) is a plus

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9917

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY 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.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Salary: $2,980

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous
• Only Singaporeans

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

https://go.persolkelly.com/job/apply/9917

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY 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.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

• Familiarity with data visualization tools like Tableau or Power BI.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines