Total 2,675 data entry job vacancies in Islandwide

Responsibilities

• Assist with key entry of shipment information
• Ensure on-time and accuracy of key entry
• Support administrative duties
• Any other duties assigned from time to time

Requirements

• Possess at least GCE ‘O’ or ‘N’ Certificate
• Preferably with 1 - 2 years of relevant experience
• Team player; able to work independently with minimum supervision
• Computer literate; typing speed of 40wpm

Location:

7 Airline Road #02-24 Cargo Agents Building E, S819834

Our Client:

• Freight Forwarding Industry
• Chinatown
• 5 Days, 8.30am to 6pm
• UP $2200 + VB

Responsibilities:

• Perform administrative duties including data entry, filing, and retrieving of files.
• Scanning and indexing documents such as invoices
• Sorting & dispatch of documents

Requirements:

• Min N levels
• No experience required
• Singaporeans Only

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.

Chua Yun Jie (Clarisse)| EA Reg No: R24120480

JTE Recruit Pte Ltd | EA Lic No: 14C7215

Nityo Infotech Services is looking for a Data Center System Operator (Entry Level). This is a permanent role with Nityo.

Responsibilities:

· 1st main task:
* monitor the health of the Mainframe Computer & Server via a console, which is a large computer monitor
* 3 status light, GREEN, AMBER, RED
* GREEN = everything is running well
* AMBER n RED = Systems displaying some problem
* require to escalate to Level 2 trouble shooting (Systems Administrator; Computer Engineer

· 2nd main task:
* help to do DATA Backup when on night duty, depending on which data centre you are deployed to

· Other ad-hoc tasks:
* print reports/ receipts
* escort Contractors into the data centre

Requirements:
· Min. 'O' Level Pass in Mathematics
· Candidate attending regular academic courses will NOT be considered
· Example of a Typical Shift Pattern (varies with different DCs)
2 rotational shifts: eg. 8.30am - 8.30pm; 8.30pm - 8.30am
*Work 3 days, Rest 2 days; Work 3 nights, Rest 2 days.
· 16 shifts/ 4-weeks. Weekends or PH could be a work day, or off day, depending on the roster
· Expected to cover up to 17 to 18 shifts /4-weeks period.

Working location: Singapore General Hospital

This is the pay structure for our entry level Sys Ops if u r selected, there will be no other allowances/AWS/Bonus etc. :
• $2,000 - $2,144 (incl. of shift allowance);

• 1-day salary /PUBLIC HOLIDAY (applies for both shifts or rest days)

Our client is looking for a productive, detail-oriented person to work as a temporary data entry clerk in our team. This position's major duty will be to maintain and enter data into our database system appropriately. Strong attention to detail, impeccable typing abilities, and the capacity to work quickly to meet deadlines are qualities that the ideal candidate will possess.

Responsibilities:

• Entering and maintaining data in the database system of the business.
• Checking the accuracy of the data entered and making any required adjustments.
• Keeping electronic documents and data organised.
• Assisting with initiatives involving data organisation and cleansing.
• Observing the policies and procedures of the company regarding data entry and confidentiality.
• Ensuring accurate and timely task completion by means of excellent team communication.

Requirements:

• At least GCE ‘O’ Level qualification is needed.
• Proven experience with data entry and basic computer skills.
• Proficiency in typing and data entry with minimal errors.
• Strong attention to detail and accuracy.
• Ability to work independently and prioritize tasks effectively.
• Excellent communication skills.
• Experience with Microsoft Office suite (Excel, Word, Outlook) is preferred.
• Previous experience with database software is a plus.

Interested candidates are invited to send in your Resume in MS Word Format* stating your past work experience, reasons for each leave, past and expected remuneration.

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

By submitting an application to us, you will be deemed to have agreed for us to collect, use, and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consented us to perform on your behalf.

EA License Number: 19C9782

EA Personnel: R1346341

Job Purpose:

• To handle daily processing / data input of customer requests on timely and accurate basis.

Core Functions & Responsibilities:

• Process / perform data entry for all verified requests on timely and accurate basis.
• Escalate exception cases, all irregularities / non-conformance to Supervisor promptly
• Attend to enquiries on processing status of customer request / any issues pertaining to the request handling.
• Observe and comply with documented policies / procedures and regulatory requirements (e.g. Banking Secrecy, Anti-Money Laundering etc)

Other Duties & Responsibilities:

• Perform any ad-hoc assignments given by Line Supervisor/Team Lead/Head of Section/Head of Department.
• Perform administrative duties
• Provide support functions from time to time (e.g. compilation of statistics, report extraction etc.)

Job Purpose:

• To handle daily processing / data input of customer requests on timely and accurate basis.

Core Functions & Responsibilities:

• Process / perform data entry for all verified requests on timely and accurate basis.
• Escalate exception cases, all irregularities / non-conformance to Supervisor promptly
• Attend to enquiries on processing status of customer request / any issues pertaining to the request handling.
• Observe and comply with documented policies / procedures and regulatory requirements (e.g. Banking Secrecy, Anti-Money Laundering etc)

Other Duties & Responsibilities:

• Perform any ad-hoc assignments given by Line Supervisor/Team Lead/Head of Section/Head of Department.
• Perform administrative duties
• Provide support functions from time to time (e.g. compilation of statistics, report extraction etc.)

Nityo Infotech Services is looking for a Data Center System Operator (Entry Level). This is a permanent role with Nityo.

Responsibilities:

· 1st main task:
* monitor the health of the Mainframe Computer & Server via a console, which is a large computer monitor
* 3 status light, GREEN, AMBER, RED
* GREEN = everything is running well
* AMBER n RED = Systems displaying some problem
* require to escalate to Level 2 trouble shooting (Systems Administrator; Computer Engineer

· 2nd main task:
* help to do DATA Backup when on night duty, depending on which data centre you are deployed to

· Other ad-hoc tasks:
* print reports/ receipts
* escort Contractors into the data centre

Requirements:
· Min. 'O' Level Pass in Mathematics
· Candidate attending regular academic courses will NOT be considered
· Example of a Typical Shift Pattern (varies with different DCs)
2 rotational shifts: eg. 8.30am - 8.30pm; 8.30pm - 8.30am
*Work 3 days, Rest 2 days; Work 3 nights, Rest 2 days.
· 16 shifts/ 4-weeks. Weekends or PH could be a work day, or off day, depending on the roster
· Expected to cover up to 17 to 18 shifts /4-weeks period.

Working location: Singapore General Hospital

This is the pay structure for our entry level Sys Ops if u r selected, there will be no other allowances/AWS/Bonus etc. :
• $2,000 - $2,144 (incl. of shift allowance);

• 1-day salary /PUBLIC HOLIDAY (applies for both shifts or rest days)

• Position : Admin Assistant (Inventory/Data Entry//Sin Ming Ln)
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 (Salary Increment: $100-$300 after 3 months probation) + OT Payable + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: diana@searchpersonnel.com.sg or call me at: 6398 5682 for more information.

Do visit www.facebook.com/search.personnel for more job listings.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Diana Okta Tio

Associate Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Job Descriptions:

To perform admin & data entry duties to support the team

Salary: Up to $2,500

Working Arrangement :

• Location: Central
• Office hours: Mon-Fri 8.30am to 6pm
• 1 year contract

Job Requirements

• Min NITEC & above
• Prior admin experience will be a plus
• Basic Word & Excel knowledge
• Ability to work independently and take initiative

If you are interested in applying, click "Apply" with your most updated resume.

We regret to inform only shortlisted candidates will be notified.

Cornerstone Global Partners EA License No: 19C9859

Chenlu Xu Registration Number: R23116710

Industry: Beauty Salon

Your primary responsibilities include (but not limited to):

*Welcome and greet customer.

*Manage outlet administration; answer phone call, report, etc.

*Handle and process the customer's requests; complaints; comments; appointments, etc.

*Coordinate and promote marketing promotions to customers; through distribution of flyer and informing regular customers through tele calls

*Assist in stock take, house-keeping, etc

*Ad-hoc duities as and when required

No working experience is required as on job training will be provided

Computer Literacy

* Basic PC knowledge - MS Excel & Gmail (IS A MUST)

Language Abilities

* Able to read, understand and speak well in English

Others

* Dynamic, pleasant and service oriented personality

* Able to work independently

* Excellent telephone etiquette

* Able to start work immediately

Employment Type:

* Full Time, Permanent

Working Hours

* Saturday and Sunday 10am-9pm ($800)

OR

*Monday-Friday 10am-7pm ($1800)

OR

*Monday-Friday 11am-8pm ($1800)

OR

*Monday-Friday 10am-6pm ($1500)

Working Location

*AMK Hub

*Bukit Panjang Plaza

*Grantrall Mall Clementi

*Chinatown Point

*Choa Chu Kang MRT

*Hougang Mall

*Jurong Point

*J8

*Lot 1 Mall

*Nex Mall

*East Point Mall

*Sun Plaza

*Tampines Central MRT

*Yew Tee Point

*Northpoint City

*Tanjong Pagar

*White Sands

*Parkway Parade

*Causeway point

*Woodlands MRT

*Holland Piazza

*Wisma Atria

*City Square Mall

*Plaza Singapura

Leave:

* Annual Leave

* Child Care Leave and Maternity Leave

* Medical & Hospitalisation Leave

The ideal candidate will use their passion for analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues

Qualifications

• Bachelor degree in Statistics or Applied Mathematics or equivalent experience
• Proficient in excel
• At least 1 years Data Analysis experience
• Fresh graduates with a Data internship experience are welcome to apply

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Job Description:

• Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
• Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.
• Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
• Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
• Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.
• Establish, uphold, and oversee data security and privacy measures on the data platform.
• Work closely with other teams to ensure the successful execution of projects and initiatives.
• Maintain and provide day-to-day operational assistance on the data platform, including:
• Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.
• Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.
• Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
• Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
• Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
• Display proficient 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 capability to design and implement data models, ETL processes, and data integration solutions.
• Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is considered a plus.
• Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
• Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
• Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.

Applicants with relevant experience may be considered for senior roles

Pls send in your updated resume stating past experiences, reasons for leaving, current and expected salaries to resume@goldtechrs.com

Job Title: Data Analyst

Job Description: As a Data Analyst, you will play a crucial role in leveraging data to drive business insights and decision-making. Your primary responsibilities will revolve around designing and analysing data models, collaborating with stakeholders, and developing scalable data solutions.

Key Responsibilities:

Design and Analysis:

- Collaborate with stakeholders to understand business requirements and translate them into data models and analytical solutions.

- Conduct exploratory data analysis to identify trends, patterns, and insights crucial for decision-making.

- Work closely with stakeholders to understand data needs and deliver actionable insights.

- Lead the design and architecture of the data warehouse solution, including data modeling, schema design, and indexing strategies.

Development:

- Define data requirements and design scalable data storage solutions in collaboration with cross-functional teams.

- Continuously evaluate and recommend improvements to the data warehouse infrastructure to enhance performance, scalability, and reliability.

- Develop and maintain dashboards and reports to visualize key metrics and performance indicators.

- Design and implement scalable data pipelines for ETL (Extract, Transform, Load) processes from various sources into the data warehouse.

- Optimize data pipeline performance and reliability to ensure timely and accurate data processing.

- Implement data quality checks and validation processes to uphold data integrity and consistency.

Qualifications:

- Proven experience in data analysis and data engineering roles, with a focus on designing and implementing data warehouse solutions.

- Strong proficiency in SQL for data manipulation and querying.

- Familiarity with data visualization tools such as Tableau or Power BI.

- Hands-on experience with ETL tools and frameworks.

- Proficiency in programming languages like Python, Java, or Scala.

- Solid understanding of data modeling concepts and techniques, including dimensional modeling and star schema.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

- Minimum of 3 years of experience in data analyst-related roles.

This role offers an exciting opportunity to work at the intersection of data and business, driving meaningful insights and impacting strategic decision-making processes. If you're passionate about leveraging data to solve complex problems and thrive in a collaborative environment, we'd love to hear from you.

Responsibilities

• Demonstrate understanding of the business to identify, analyse and interpret patterns or trends in data sets that help in improving business performance.
• Import data from various external and internal sources to bring meaningful insights into the business.
• Build and maintain tableau dashboard for departments and management to track key indicators.
• To write R/Python scrips to transform existing data to obtain approximation of required data.
• Identify data sources; collect data through manual or automated means; source missing data; clean, transform and organize data into usable format/structure.
• Support in data flow and process flow documentation and identify gaps.

Requirements

• A bachelor's degree in a related field such as mathematics, statistics, computer science, economics, or information management is required.
• Minimum 2 years of relevant work experience
• Strong analytical skills are essential for interpreting complex data sets and identifying trends, patterns, and insights.
• Proficiency in programming languages commonly used in data analysis such as Python, R, SQL, or others.
• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Understanding of mathematical concepts such as probability, calculus, algebra, and statistics is crucial for analysing data effectively.
• Understanding of business processes and objectives to provide data-driven recommendations and insights that align with organizational goals.
• Familiarity with database systems and data querying languages (MS SQL).

Interested candidates who wish to apply for the advertised position, please click APPLY to submit your resume.

EA License: 13C6305

Reg. No.: R22108000

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use, or disclose your personal information for purpose in connection with the services provided by us.