Total 10,372 Full-time data entry job vacancies in Singapore

Responsibilities:

• Working together with the sales team to give current and potential clients comprehensive product information and knowledge
• Gain a thorough understanding of the product and be able to respond to inquiries about the product and the market with finesse throughout the sales cycle.
• Produce and execute presentations and proposals that satisfy the needs and goals of the client.
• Frequent visits to client locations and trade shows
• Keep abreast of market developments and industry best practices, such as positioning and competitive differentiation.
• In order to determine development objectives and marketing collateral based on market demands and growth prospects, collaborate with the marketing and product teams.

Requirements:

• Maritime background with a solid grasp of compliance and navigation
• Degree in a relevant discipline
• Years of prior experience in a related position, such as technical product development consulting or software ERP development/sales
• Skills in analysis and problem-solving
• Presentation and communication abilities
• Interpersonal skills: the capacity to establish and preserve enduring bonds with partners, clients, and internal teams
• Knowledge of the solution selling cycle and sales cycle

Your Responsibilites as HSSE Data and Reporting Analyst

• Skilled in using SJI emission work-files, water balance charts and accounting files and monitoring plans.
• Knowledgeable in data and reporting systems and familiarity i.e. Work place Environmental Reporting System (SERS), Business Objects (BO), Spotfire, Power BI, GSAP, PI Process book etc.
• Knowledgeable in O&G Standards (i.e. API Compendium, GRI)
• Knowledgeable in local regulatory requirements under local authorities (i.e. PUB and NEA)
• Familiarity with HSSE & SP Control Framework and Manuals, specifically client's PMR and GHGEMP requirements
• Excellent data management skills and ability to integrate data across different platforms
• Ability to work under pressure to meet deadlines with a crowded and often changing business agenda.
• High level of accuracy in work product, attention to detail
• Mindset and ability to develop relationships across multiple departmental boundaries within SJI.
• Necessary to work additional hours and provide extended coverage during key reporting periods.
• Enterprise first and standardization/simplification mindset
• Working knowledge and experience of HSSE Management
• Strong English language communication skills (oral and written)
• Organizational & time management skills
• Strong Microsoft Office skills including Powerpoint, Excel, Word.

The Opportunity:

• Permanent Role
• Working Location: West
• Work hours: Mon to Fri 9am - 6pm

Adecco is partnering with a leader in Data Centre & ICT solution

The Job:

• Provide routine checks and readings report at Data Centre - high megawatts DC, MOP & SOP experience, UPS, STS, DRUPS, CRAC, PDU, Chillers, BMS, fire protection systems, HVAC.
• Ensure all standby equipment ready for critical loads.
• To be on standby for any facilities related emergency and may need to attend onsite if necessary.
• Record down Power and Racks utilization for at Data Centers.
• Review and handle site incidents
• Support the team in the management, operation and maintenance of all facilities equipment / services and building management functions
• Supervise the outsourced facilities management service vendor to ensure full compliance to the contract scope and expectations

The Talent:

• Degree/Diploma in Mechanical/Electrical/Facility or relevant technical discipline.
• Only Singaporeans.

Next Step:

• Interested applicants, please send your resume to [email protected] with your current and expected salary.
• All shortlisted candidates will be contacted.

Career exposure into government organization!

Good start for your career advancement!

6 months contract, extendable and convertible based on performance and project requirement

Monday - Friday, Central location

Job responsibilities:

• Plan, coordinate and launch surveys, ensuring they are completed with a high response rate and in a timely manner
• Provide regular updates of survey progress and survey statistics to senior management
• Conduct after-action reviews to improve processes and propose new initiatives
• Provide constant guidance and advice to survey supervisors and interviewers to ensure that the survey is conducted in a timely and reliable manner
• Coordinate with survey team to provide solution for escalated cases
• Multitask and prioritize due to the dynamics of the organization landscape and business needs
• Develop a detailed reporting/tracking plan
• Any other ad-hoc duties

Requirements

• Qualification: Degree holder
• Ability to plan ahead and strategize
• Good communication skills
• Able to work independently, but also with various stakeholders
• Strong analytical skills, technically driven, problem solver, results-oriented
• Having experience in project management
• Programming/Coding knowledge is a plus (R, Python or SQL)
• Good system knowledge in Microsoft Excel, PowerPoint, V-look up, Pivot table, Excel filter

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.

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. R1766716 (Ng Yi Ling)

Responsibilities:

• Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.
• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decision-making at all levels of the organization.
• Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.
• Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems.

Requirements:

• At least a Bachelor’s in Information Technology / Computer Science, or related degree
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Mandatory Skills

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Note: Proficiency in Spark SQL is mandatory. Experience with Avaloq data is preferred

Data Center Resident Engineer (One year contract – Renewable, Extendable, Central location)

Job Posting under Sheralynn Tjioe, Head of Interim and Contracting Solutions (Technology) at Kerry Consulting

Email: [email protected]

Description
My firm is currently hiring a Data Center Resident Engineer for our client who is a leading Technology MNC to work on-site at a datacenter under a telecommunication conglomerate. You will undertake the role of maintaining and managing the lifecycle of the computer hardware.

Responsibilities
You will be responsible for IMAC (Installation, Move (within the same DC), Add & Change activities

Carry out preventive maintenance and perform periodic firmware update where applicable.

Participate in the maintenance of the data center, inspections, troubleshooting of computer hardware.

Skills and experiences required

· At least 2-3 years of relevant working experience as a resident engineer at a Datacentre

· Relevant working experience with Computer hardware such as ProLiant, Synergy Blades

· Having knowledge of Azure HCI is an advantage

The Resident Engineer (RE) operates within the following time frame:

Onsite hours: Monday to Friday, from 9 am to 5 pm, excluding weekends and local public holidays.

Additional charges may apply for overtime, travel, and allowances beyond the specified working hours mentioned above.

For your next career, feel free to get in touch with me at [email protected].

Reg: R1878306 Lic: 16S8060

Key Responsibilities:

1. Data Analysis: Assisting in the collection and analysis of financial data, including market trends, company financial statements, and investment opportunities.

2. Report Preparation: Preparing reports on financial performance and other key metrics for internal use by senior staff and for compliance with regulatory bodies.

3. Research: Conducting research on economic conditions, industry trends, and financial products to support the bank’s analysis and decision-making processes.

4. Financial Modeling: Building and maintaining financial models to predict outcomes and assess risks for various financial decisions or investment opportunities.

5. Risk Assessment: Helping to evaluate credit risk, market risk, and operational risk to minimize potential losses for the bank.

6. Support Functions: Providing administrative and technical support to senior analysts and other banking departments.

7. Compliance: Ensuring all activities adhere to banking regulations and internal policies.

8. Collaboration: Working as part of a team to contribute to larger projects and initiatives within the bank.

9. Software Proficiency: Utilizing financial analysis software and tools for efficient data analysis and reporting.

10. Continual Learning: Staying updated on financial regulations, market conditions, and advanced analytical techniques.

How to Apply:

Interested applicants, please email your resume to [email protected]

Clara Crystal Lim Tyn Wei

CEI No: R23117784

Recruit Express Pte Ltd

EA Licence No: 99C4599

In this role, you will contribute to the company by maintaining good relationships with our vendors through timely payments and close collaboration with our Procurement and Accounts Teams.

Job Descripion:

• Oversee incoming vendor invoices and process for payments in accordance with schedule (data entry required on internal system).
• Submission of invoices to Accounts department with supporting documentation and payment approvals as per Approval Matrix.
• Track and manage vendor statement of accounts.
• Raising claims to owners.
• Assist on Adhoc urgent payments.
• Adhoc duties (Arrangement of DHL mails).
• Back-up during absence of teammates.

Job Requirement:

• Minimum Diploma in related studies.
• Entry level are welcome to apply. Training is provided.
• 1 - 2 years' experience in Logistics / Shipping Industry is an added advantage.
• Excellent organization skills and ability to multi-task under tight deadlines.
• Ability to communicate clearly, concisely, and politely.
• Experience with Microsoft Office software.
• Proficient in oral and written communication skills in English language.
• Proactive and self-motivated in problem solving.
• Adhere to Company’s Standard Operating Procedures and audit requirements.

Our Client is a Local Bank.

Location: Raffles Place

Reponsibilities:

· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.

· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.

· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.

· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.

· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.

· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.

· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.

· Provide assistance to HR teams in executing data transformation protocols.

Requirements:

· At least 7 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.

· Proficient in HR data structures, processes, and regulatory requirements.

· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.

· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.

· Proficiency in MS Excel, including data manipulation and validation techniques.

· Capable of effective communication with both technical and non-technical stakeholders.

· Possesses excellent organizational and documentation abilities.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

Job Scope

• Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery
• Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework
• Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.
• Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)
• Acquire a good understanding and analysis of business challenges and be able to translate the needs into the design of concrete technical solutions and gradually extend the functionalities and scope of our data platform based on Google cloud platform and Dataiku.
• Provide reliable estimates of workloads and planning according to the level of complexity and other activities to allow a good coordination of the activities of the team.
• Perform unit development tests and support business users in their tests before final validation.
• Contribute to the design and management of the data model, as well as to the orientations in terms of the architecture of our data platform (repositories, APIs, etc.)
• Set up pipeline monitoring and monitoring of the data platform and APIs (from a functional point of view and data quality)
• Analyze incidents, points of weakness and support requests related to the use of the data platform or APIs
• Provide timely and accurate support to the business teams on issues
• Propose improvements to optimize the data platform (optimization of existing processes, data restructuring, factorization, etc.)

Requirements:

• Bachelor’s degree in Management, Computer Science or related field
• Language spoken English (French is a plus)
• Minimum of 3 years’ experience in IT development roles such as data integration on Google Cloud & Dataiku or similar cloud services
• Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.

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.

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. R21100696 | Agnes Goh Li Er

Working Hours: Monday to Friday, 9am -6pm

Location: Raffles

Contract job until end Feb 2025

Job Scope:

A) Analytics Business Partnering

• Cultivate strong relationships with stakeholders to uncover opportunities to leverage data and enable the successful delivery of reports, dashboards & analytics.
• Establish and iterate our HR analytics approach to business problems via advanced analysis and understanding the data infrastructure and products
• Interpret and present data insights to stakeholders to drive data-informed business decisions
• Lead HR data and metrics projects to create impactful measures and indicators for organization improvement and optimization

B) Advanced Analytics & Research

• Design and develop data models to support forward looking HR initiatives with predictive analytics to forecast, evaluate and analyze various business problems and objectives
• Establish a scientific and systematic analysis model and methodology by combining market research, data and theory for high impact HR analysis

Job Requirements:

• Minimum 5 years of experience in HR analytics, business analytics
• Experienced in data analysis, analytics data models, data warehousing, data product management
• Proficient in mainstream data analysis tools
• Excellent communication skills and ability to influence others.
• Strong analytical and problem-solving skills
• Strong team player with curious and research oriented mindset to explore and tackle business problems with HR data

Attn: Kay Kwok

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.
We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence

Elitez Pte Ltd | EA Licence: 16C8004| Kwok Kia Wei | Registration No: R2110176

Job Responsibilities:

- Cultivate strong relationships with stakeholders to uncover opportunities to leverage data and enable the successful delivery of reports, dashboards & analytics

- Establish and iterate our HR analytics approach to business problems via advanced analysis and understanding the data infrastructure and products

- Interpret and present data insights to stakeholders to drive data-informed business decisions

- Lead HR data and metrics projects to create impactful measures and indicators for organization improvement and optimization

- Design and develop data models to support forward looking HR initiatives with predictive analytics to forecast, evaluate and analyze various business problems and objectives

- Establish a scientific and systematic analysis model and methodology by combining market research, data and theory for high impact HR analysis

Job Requirements:

- Minimum 2-3 years of HR & Data Analyst experience

- Possess working knowledge in SQL, Tableau, Python, Qlikview, Power BI

- Keen eye for detail

To apply, please email your resume in MS Word format to [email protected] indicating in your CV the following information:

Expected Salary:
Notice Required:
Reason for Leaving:

Only shortlisted candidates will be notified.

Jackie Ng May Ying (R1104602)

Recruit Express Pte Ltd

EA No: 99C4599

Main Responsibilities

• Handle public phone enquires on medical reports requests
• Process medical report requests and follow up on medical report requests status
• Process duplication of medical records for patients
• Perform records management such as engage porter to deliver documents to patient care areas, archiving of document in e-MRO storage and tracing
• Sorting and scanning of documents into the electronic medical record system
• Perform indexing and Quality Control check (100%) on the scanned images
• Participate in continuous quality improvement initiatives and projects in the department.

Requirements

• At least a GCE ‘N’ or ‘O’ levels, Professionals Certificate/NITEC.
• Experience in healthcare preferred
• Proficient in Microsoft Office
• IT literacy and numeracy including conversational, writing making electronic entries e.g. Record information on forms, charts and checklists
• Able to adapt quickly to changes and work in a fast-paced environment

If you are interested in any of the positions, do kindly drop your most updated resume to [email protected]

Thank You.

Victoria Yam Wen Ting
R21103142
Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

Salary: $1360/ month

Working Hours: (Mon, Tues, Thurs Fri 8am - 5pm) + Sat (half day basis if needed)

Duration: Till Jul 2024

Location: East/ North East

Job Scope:

- Handling enquiries from interested study participants (parents), assist to prepare prior to, during and post-study participant visits, data entry/management, coordinate/schedule participant visits, daily operational duties etc.

- Research study will be centred around children/ kids.

Job Requirements:

- Min. A level/ Diploma in any field

- Keen in Psychology/ science field

For interested applicants, please send your updated resume to: [email protected]

All candidates’ information will be treated with the strictest confidence

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

99C4599

• Position : Sales Manager (CCTV/Data Comm/UPS)
• Location : Near Bendemeer MRT
• Working hours : Monday - Friday, 9.00am - 6.00pm
• Salary(commensurate on experience) : Up to $6200 + AWS + VB + Transport reimbursement + Phone + 14 days Annual leave
• Duration : Permanent
• Industry : Manufacturer of Network Equipment

Main Responsibilities:

• Set and fulfill given sales targets that aligns with the overall business direction and brand consistency
• Ability to communicate and liaise with clients to resolve all sales enquiries
• Implement sales and marketing strategies for market penetration
• Conduct regular visits, trainings and meetings with distributor’s sales and technical team as well as channels/dealers
• Identify and approach potential clients, projects or new market to create new business opportunities
• Report on sales performance as well as necessary suggestion and implementations for improvement

Requirements:

• Local Polytechnic Diploma and/or Degree in Business Administration, IT or Engineering
• At least 2 years of sales experience in Tech/IT industry or related field
• Experience in B2B platform would be a major plus
• Clear understanding of market trends and current/potential competitors
• Bilingual in English, Mandarin or Malay to liaise with Mandarin and Malay speaking associates in view of business communications

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

ASAP – Feb 2025

Need HR + Data Analyst exp.

Must know SQL, Tableau, Python, Qlikview, PowerBI

up to 6300

Central

Together with the project team, conduct and support comprehensive HR data mapping analysis between existing HR systems and target system

· Collaborate with HR and IT teams to understand data requirements, ensuring accurate and efficient data migration processes

· Lead data transformation efforts with HR teams, ensuring data integrity, consistency, compliance with organizational and project standards

· Work with the project team to develop and maintain documentation for data mapping, transformation rules and migration processes

· Develop and maintain data migration documentation, including data dictionaries, mapping specifications, and transformation logic.

· Collaborate with IT teams to optimize data extraction, transformation, and loading (ETL) processes for efficiency and performance.

· Establish and implement quality assurance measures to validate data accuracy and completeness post-migration.

· Provide support to HR teams on data transformation procedures

How to Apply:
send your resume to: [email protected] or telegram @jocelynchan

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence number : 99C4599
Personnel EA License: R1331820

My asset managment client is looking for a reference data operations manager to join their team. If keen kindly share your updated resume to [email protected]

KEY ACCOUNTABILITIES

The Data Operations team is responsible for providing data quality assurance for multiple datasets including pricing, securities and reference data, benchmarks, portfolios and fund.

The role sits in the Investment and Asset Data Support team, responsible for the stewardship and reporting of Asset data that resides in the Asset Data Store (ADS) and manage Data Quality exceptions in Data Management Platform (DMP) an ensuring the data is complete, consistent, fit for purpose and ready for consumption for all end users.

The daily review and validation of daily Security Master Reference data in internal DMP system and resolve exceptions in timely manner.

Resolution of exceptions to ensure data integrity.

Managing and monitoring controls to ensure data quality and consistency.

Resolving data issues highlighted as part of data validation process and manage escalations.

ASSET DATA REPORTING:

Perform monthly, quarterly, semi-annual, and annual reporting for Major Life client on monthly basis in timely manner.

Sourcing and onboarding of new market data required for reporting.

Ensure data used for Reporting is clean, validated and fit for reporting.

Work closely with stakeholders on reporting issues and resolve in timely manner without impact to reporting timelines.

Publish PowerBI reports to various stakeholders with clean data for reporting consumption.

Engage with IT Support and Development teams on the issues encountered during reporting cycle and resolve in timely manner.

ADDITIONAL RESPONSIBILITIES:

Continuous updates of standard operating procedures along with the new changes and projects

Identify and execute continuous process improvement and automation.

Support projects and ad-hoc queries

EXPERIENCE / QUALIFICATIONS

An excellent understanding of a wide range of tradable instruments

Strong analytical and communication skills

Data management experience in large banking institution especially financial services sector, preferably in Asset Management

Prior experience using investment platforms, like GoldenSource is desirable.

Knowledge of SQL, PowerBI, Python language skills is a plus.

Prior experience in doing asset data reporting for clients with Instrument Reference data and Positions.

Understanding of the data management governance frameworks

Working knowledge of data vendor systems such as Bloomberg, Reuters, S&P, etc.

Excellent customer focus and high level of accuracy, and attention to detail

Demonstrated ability to work collaboratively as part of the small team.

GENERAL CANDIDATE ATTRIBUTES

A deep understanding of asset management enterprise data, its associated processes, systems, controls and deliverables.

A strong ability to be hands on yet has a holistic strategic vision on data management.

A strong team player

A performance driven individual

Strong relationship management skills

Responsibilities

• Daily collection of trade images
• Ensure timely submission of images by the respective teams
• Translate all images collected into data according to 4Ps (Product, Price, Place, and Promotion)
• Maintain data entry requirements by following work procedures to ensure consistency and accuracy
• Maintain data base by entering new and update information
• Ensure that appropriate results and information has been achieved

Requirements

• Possess minimum GCE 'O' Level
• Minimum 1 year of data entry experience
• Proficient in Microsoft Excel and PowerPoint
• Excellent communication and interpersonal skills
• Detail oriented, proactive, and a good team player
• Able to work independently

[What you will be working on]

In addition to your teaching duties, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession.

[What we are looking for]

You should have at least 3 years of relevant experience in big data, data analytics, and with experience in web development.

You should also be motivated to work with youths to develop them in the area of data engineering and data analytics.

You should also possess the following skills:
- Experience working on relational SQL databases
- Ability to write, analyse, and debug SQL queries.
- Experience with Data Warehousing, ETL (Extraction, Transformation & Load)
- Experience in statistical data analysis and data mining packages (Python, R)
- Hands-on experience in Python/R in production environments.
- Experience in TIBCO Spotfire, Alteryx, Power BI or similar tools.
- Experience with machine learning algorithms

Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.

Applicants may check their application status at the end of 8 weeks from the closing date of this job posting.

[What you will be working on]

Responsibilities

• Obtain and review the consolidated data structure/s for programme/s and develop suitable analytic strategies to ensure the achievement of expected deliverables.
• Lead and conduct data analysis and data mapping, where appropriate, to identify any unusual trends, anomalies, behaviour etc.
• Conduct analytical review of the identified variances, trends, anomalies, behaviours etc.
• Conduct deep dive review into the identified trend and behaviour to further review for specific indications of non-compliances and/or potential suspected fraud.
• Develop suitable data review processes that can assist business divisions in the upstream early detection of potential issues in the grants administration and processing.
• Coordinate with relevant business divisions on referral cases of potential suspected fraud for further inquiry and investigations by IAU
• Timely management and maintenance of WSG blacklist listing

[What we are looking for]

Requirements

• Ability to review complex dataset and develop suitable data review strategies to achieve the objectives of data analysis deliverables
• Experienced in using analytical formulas and functions for MS Excel and other analytical tools, such as data visualization, as well as experience in simple data cleaning
• Experience and knowledge in conducting analytical review and/or business operation reviews is essential
• Critical thinking and problem-solving skills – ability to understand beyond the numbers and its implications
• Excellent communication & presentation skills and inter-personal skills to engage relevant stakeholders
• A team player with good inter-personal skills
• Driven, meticulous and able to multi-task and work independently
• Good system and processes development acumen. Knowledge related to financial and auditing concepts, accounting principles are an added advantage.
• Ability to lead and motivate team to achieve the set outcomes; inspire and guide teams to grow and mentor them

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

Job Description

• Marine Engineering
• Basic $2500 - $3500
• Mon-Fri (9.00am-5.30pm)
• Walking distance from Tuas west road mrt

Responsibilities

• To perform all kinds of general admin duties such as data entry, preparing weekly and monthly reports
• To handle PO, DO, Contract and quotation
• To attend to customers via phone and email
• To respond to complaints from customers and give after-sales support when required

Requirements:

• Min Diploma/Degree with no experience are also welcome.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R23114214 | Chloe Tan

Position: Human Resource Data Specialist

Location: Raffles

Salary: Up to $5400 + 1 Month Completion Bonus

Job Responsibilities:

• Conduct and support comprehensive HR data mapping analysis between existing HR systems and the target system, working closely with the project team.
• Collaborate with HR and IT teams to understand data requirements, ensuring accurate and efficient data migration processes.
• Lead data transformation efforts with HR teams to ensure data integrity, consistency, and compliance with organizational and project standards.
• Develop and maintain documentation for data mapping, transformation rules, and migration processes in collaboration with the project team.
• Work with IT teams to optimize data extraction, transformation, and loading (ETL) processes for efficiency and performance.
• Establish and implement quality assurance measures to validate data accuracy and completeness post-migration.
• Provide support to HR teams on data transformation procedures.

Job Requirements:

• Minimum of 7 years of experience in HR analytics, HRIS, HR software, or HR records and documentation management.
• In-depth understanding of HR data structures, processes, and compliance requirements.
• Proven experience in data migration and participation in new HR system rollout projects is advantageous.
• Demonstrated ability to collaborate effectively with diverse HR and IT stakeholders.
• Strong analytical and problem-solving skills, with the ability to derive valuable insights from HR data.
• Detail-oriented and capable of managing multiple priorities in a fast-paced environment.
• Familiarity with relevant regulations and industry best practices in HR data management.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

Position Type: Contract deputed to Client | Work Location: East

Responsibilities

1. Possess good knowledge of data centre operation tasks and duties.
2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.
3. Strong ability to support activities in data centre and computer rooms
4. Ensure data centre physical security procedures are followed strictly.
5. Prompt escalation of incidents following the standard incident response procedure & track till closure
6. To generate reports to management

Requirements

• Experience working in a high-pressured environment with 24x7 on-call responsibilities
• Strong understanding of incident, problem and change management procedures based on ITIL best practices
• Experienced in supporting Data Centre vendors, out-sourcing vendors.
• Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint
• Good written and verbal communication skills
• Highly motivated and self-driven
• An analytical and inquiring mind to derive innovative solutions.
• Ability to work independently and in a team
• Must have experience working in data centre operations in financial institutions.
• Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.
• Familiar with Structured Cabling system and its related components.

Almira | Recruitment Consultant

Email: [email protected]| Office Telephone: +65 64299403

EA Personnel Registration Number: R22111126

Singapore Employment Agency Licence No: 11C337

My client is a Singapore-based proprietary trading company. They are looking for a Data Engineer with 2-5years of working experience.

Responsibilities:

• Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data.
• Perform necessary data cleansing and transformation to enhance data quality.
• Collaborate with traders and researchers for efficient data consumption and analysis.
• Deploy new data models for insightful and actionable analytics across the firm.
• Manage the entire data processing system and advise on necessary infrastructure changes.

Attributes:

• Clear thinking, quick learning, problem-solving ability, and adept at working independently.
• Effective communication and a propensity for asking insightful questions.
• Development experience in multiple programming languages, preferably diverse types (e.g., strongly versus dynamically typed, functional versus object-oriented).
• Familiarity with software development practices and excellent teamwork skills.
• Experience with databases and SQL.
• Proficiency in stream processing.