Total 224 data entry job vacancies in d10 ardmore bukit timah holland road tanglin

Job Description

Responsibilities

Rack, Build, cable, configure, and provision Intel and AMD Servers

Rack, cable, and deploy Cisco Layer 2 networking equipment

Troubleshoot, test, quality assurance of Server hardware

Professionally resolve hardware issues via trouble ticket

Desired Experience:

1 to 3 Years of experience

Experience in PC Hardware and Server Hardware (on Job training provided)

Operating System Installation - Windows Server, Linux, Unix

PC Assembly and HW troubleshooting

Understanding of basic hardware troubleshooting and applying logical methods of resolution

Basic Networking Knowledge

Rack, cable, and deploy Cisco Layer 2 networking equipment a plus

Experience with RAID levels is a plus

POSITION GENERAL DUTIES AND TASKS :
Skillset

- Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

- Last 3 years of relevant experience in banking/financial services industry

- Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.

- Strong SQL, Python, Java and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills



Roles/Responsibilities

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Provide operational support and ensure SLI of Applications

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Proactively Identify and Identify opportunities for preventive Maintenance

- Perform Administration & Optimization to achieve of Optimal System Performance

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards

- Recommend Design and Operational Optimizations

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Work with Project/Enhancement Teams to Review, Transition for Run Team

- Participate in Disaster Recovery and Business Continuity exercises

- Support relevant software/platform/database upgrade for the systems

- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

- Support data APIs, data science ML applications running on Kubernetes platform.



Datawarehouse Support Engineer (EDW)

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Implement projects within their emplaced practice to ensure service delivery and support to meet the intended availability, continuity and capacity requirements.
• Translate business requirement into infrastructure design.
• Work with service providers to design, develop, deploy and configure infrastructure to meet resiliency, availability and data integrity needs.
• Ensure compliance to Authority's Technical Architecture and SG-TRM, as well as IM8 and Authority IT Policies. • Manage Infrastructure projects and services to support application systems environments. • Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP. • Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).
• Understand systems operations environment is expected.
• Manage Infrastructure projects and services to support application systems environments.
• Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP.
• Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).

• Bachelor's degree in computer science/ information technology/ engineering or equivalent
• Minimum 5 years of experience in relevant fields such as delivering Enterprise Data Science and / or Big Data Platforms on AWS (Preferred) or On-Premise (Good to have).
• Hands-on experience with Linux RHEL (Preferred), Windows (Good to have), OS virtualisation technologies (Good to have), SAN storage (Good to have) and/or databases (Added advantage).
• Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges.
• Ability to analyse and identify comprehensive solutions considering all functional implications while developing a workable solution.
• Hands-on experience in in developing DevSecOps and MLOps pipelines, either on Cloud (Preferred) or On Premise (Good to have) would be an added advantage.
• Knowledge with database technologies such as Microsoft SQL Server and MySQL. Working experience with both structured and unstructured data sets would be an added advantage.

2. Position Title: Senior Data Engineer

Experience Required: 5-10 Years

Position Summary:
We are seeking an experienced Senior Data Engineer with 5 to 10 years of hands-on experience in building and managing data pipelines and big data infrastructure. The ideal candidate will have a strong technical background in data engineering tools, big data ecosystems, and programming languages. This role focuses on designing, implementing, and optimizing complex data workflows using Apache Airflow, Apache NiFi, Kafka, PySpark, Spark Scala, and other key technologies. Candidates with proficiency in Python, Java, and shell scripting are highly preferred.

Key Responsibilities:

• Data Pipeline Design & Management:
  Design, build, and maintain scalable and reliable data pipelines to support both real-time and batch processing requirements.
• Workflow Optimization & Monitoring:
  Manage, monitor, and optimize workflows in Apache Airflow to ensure data quality, integrity, and system performance.
• Data Integration:
  Develop and integrate data flows using Apache NiFi to ensure seamless data ingestion and transformation processes.
• Real-Time Data Streaming:
  Work extensively with Apache Kafka for data streaming and messaging across various data sources.
• Data Processing Solutions:
  Implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
• Automation & Scripting:
  Write efficient code in Python and Java to automate data workflows and support data engineering needs, utilizing shell scripting for operational tasks.
• Cross-functional Collaboration:
  Collaborate with cross-functional teams to understand data requirements and provide optimized engineering solutions.
• Data Security & Compliance:
  Ensure data security, compliance, and performance by following best practices in big data and distributed systems.
• Continuous Improvement:
  Continuously improve the performance, scalability, and reliability of data processing pipelines.

Required Skills and Experience:

• Apache Airflow:
  Extensive experience in managing, scheduling, and monitoring data pipelines.
• Apache NiFi:
  Strong experience in designing data flows for ingestion and transformation.
• Apache Kafka:
  In-depth knowledge of Kafka for real-time data streaming and messaging systems.
• PySpark & Spark Scala:
  Proficiency in using PySpark and Spark Scala for large-scale data processing.
• Programming Languages:
  Strong experience with Python and Java, with additional expertise in shell scripting.
• Big Data Knowledge:
  Familiarity with big data ecosystems and distributed data processing.
• Problem-Solving & Teamwork:
  Ability to work independently and collaboratively in a fast-paced environment, solving complex data engineering challenges.

Educational Qualifications:

• Required:
  Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Preferred Qualifications:

• Cloud Experience:
  Experience in cloud environments (AWS, GCP, Azure) with big data components.
• Version Control & CI/CD:
  Experience with version control tools (e.g., Git) and CI/CD practices in data engineering.
• Analytical & Communication Skills:
  Strong analytical, problem-solving, and communication skills.

Handshakes by DC Frontiers is an award-winning DataTech company that leverages data to empower safe, informed business decisions. We are located in 7 cities and are expanding our presence across the globe.

We are hiring an experienced Senior Data Engineer to be based in our Singapore office. The Senior Data Engineer will be part of our Data and AI team that is involved in building innovative products on cutting-edge technologies to solve business problems. As a Senior Data Engineer, you will be expected to build machine learning solutions and create robust data pipelines to maintain and optimise data platforms.

Responsibilities for a Senior Data Engineer would include but will not be limited to:

• Engaging in technical design and building reusable codes that are efficient, scalable and stable
• Developing APIs to support high throughput data processing, features engineering and other uses cases
• Creating new data pipelines, improve existing data processes and champion automation of manual processes especially in data delivery
• Collaborating with data scientists, AI engineers, product managers and other teams in developing relevant and cutting-edge data solutions tailored to business and product requirements
• Working on all aspects of data including platform and infrastructure build out, pipeline engineering as well as creating of tools and services relevant in managing the data platforms

As an experienced Senior Data Engineer, you would have:

• Demonstrable experience in coding and scripting in languages such as Scala, Go, Python, SQL or R
• Exposure to big data technologies like Spark, Airflow, Hadoop, Kafka, et al
• Strong experience with data management, data tools, relational / non-relational databases (SQL, NoSQL, MongoDB, HBase, Cassandra), ETL processes
• Experience with cloud services such as AWS, Azure or GCP a plus
• Ability to drive CI/CD, containerization, blue green deployments as well as re-designing of infrastructure for greater scalability

We are not engaging with recruitment agencies. If interested, apply here or send your profile or inquiries directly to [email protected].

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, supporting top-performing departments including software development, engineering, product, marketing, content, and people management.

What you’ll be doing

As a Senior Operations Data Analyst, you will:

• Act as a strategic partner in Product Operations to grow the extent of data-driven planning and decision making. Product Operations watches over our service platforms and infrastructure, ensuring our services are working reliably and seamlessly for our customers.
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to our cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboards.
• Collaborate with Data Engineers and Analytics Engineers to define requirements and standards for data pipelines and transformations, aligning with broader requirements.
• Drive quality and consistency, setting solid standards for the team

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 4+ years of experience in a Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Proficient with querying languages such as SQL, and visualization tools such as Tableau/Power BI
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people.

Nice to have, but not required

• Data science experience (e.g. experimentation, predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.
• Understanding of operational metrics such as connection statistics, server telemetry, bandwidth utilization, and more
• Experience with Operations Monitoring tools such as Grafana, InfluxDB

Working Location: Islandwide
Contract Duration: Up to 12 Months Contract
Working Hours: Monday – Thursday: 8.30am – 6pm, Friday: 8.30am – 5.30pm
Basic Salary: Up to $2,980 per month

Background:
This is a generic job posting for Entry Level applicants who are interested in a role within the Social Service sector. More details will be furnished during the screening process.

Responsibilities:
Your job duties may involve:

• Processing of Applications: Assist in processing and assessing online applications received in the system.
• Data Management: Collecting, analysing, and presenting data on dashboards.
• Customer Service: Assist members of the public in promoting the use of digital/online services to apply for financial assistance. (Digital Ambassador)
• General Administration: Coordination of meetings, minutes taking, tracking of returns, data entry, etc
• Fieldwork: Assist Adult Protection Officers in field work.
• Other ad-hoc duties as assigned.

Job Requirements:

· Diploma or Bachelor’s Degree in Psychology / Social Work / Sociology / Early Childhood Education or other relevant disciplines.

· Immediate Starters are preferred (Not serving any notice period)

· Entry Level applicants with interest in the Social Service sector are welcomed to apply.

Interested candidates, please forward a copy of your resume to: [email protected].

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

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

Job Summary

We are seeking a detail-oriented Data Analyst to support daily operational reporting, data extraction for various business needs, and audit-related tasks. This role is integral to ensuring data accuracy, providing actionable insights, and supporting compliance within our credit card operations. The ideal candidate should have a strong analytical background, experience with SQL, and an understanding of financial data relevant to the credit card industry.

Responsibilities

1.Daily Operational Reporting

• Generate, review, and distribute daily, weekly, and monthly reports related to credit card transaction volumes, financial performance, and other OKRs.
• Ensure the accuracy, reliability, and timeliness of all reporting outputs.
• Collaborate with different departments to customize reports to meet operational needs.

2. Data Extraction for Business Operations

• Use SQL or other query tools to extract data as needed for ad-hoc analysis,performance tracking, and business operations.
• Work with cross-functional teams to understand data needs, design queries, and ensure data integrity.
• Identify data trends and provide recommendations based on analysis.

3. Audit and Compliance Support

• Support internal and external audit activities by retrieving and validating required datasets.
• Document data sources, extraction methodologies, and calculations to ensure data transparency.
• Collaborate with compliance and risk management teams to ensure data reporting aligns with regulatory requirements.

4. Data Management and Quality Assurance

• Conduct regular quality checks on datasets and reports to ensure consistency andaccuracy.
• Participate in data cleansing and enrichment initiatives to improve data quality.
• Maintain data documentation and ensure adherence to data governance policies.

5. Continuous Improvement

• Identify opportunities to automate data processes and reporting workflows.
• Develop and enhance analytical tools and dashboards to support decision-making.
• Stay updated on industry trends and best practices in data analytics for financial services.

Qualifications

• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related field.
• Proven experience as a Data Analyst, preferably within the financial or credit card industry.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI)
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with audit processes and regulatory compliance requirements.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

• Knowledge of data warehousing and ETL processes.
• Understanding of credit card operations and financial transaction data.
• Experience with statistical tools (e.g., Python, R) is a plus.

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Job Purpose

As an Executive, Data Analytics, your role will be pivotal in supporting data-driven decision-making processes and delivering valuable insights to support strategic initiatives. You will support in implementing Artificial Intelligence / Machine Learning (AI/ML), leveraging on data to enhance advertising strategies, improve ROI, and contribute to the organisational’s growth.

Please note that the incumbent will be hired on a 1 + 1 year contract.

Responsibilities

The duties and responsibilities are listed below. The list is not comprehensive and related duties and responsibilities may be assigned from time to time.

1. Data Analysis and Insights:

• Conduct in-depth data analysis to identify trends, patterns, and actionable insights from advertising campaigns.
• Perform a market-based assessment and execute new go-to-market strategies in the field.

2. Campaign Optimization:

• Collaborate with marketing and sales teams to optimize campaign performance through data-driven strategies.
• A/B testing and experimentation to improve ad creative, targeting, and messaging.
• Streamline and drive process improvements for operational excellence

3. Data Visualization:

• Create data marts, visually appealing and informative data visualizations to communicate findings and insights effectively.
• Develop and maintain dashboards and reports to track key performance metrics and provide actionable recommendations.
• Drive end-to-end data projects; identify issues, gather information from various sources, analyse huge data, interpret patterns and trends, build models, give recommendations, and create insightful automated reports.

4 . Artificial Intelligence / Machine Learning (AI/ML)

• Support and implement machine learning models and algorithms.
• Collect, preprocess, and analyze data to train and evaluate AI models.
• Support the building of predictive models to forecast advertising campaign outcomes and customer behavior.
• Collaborate with data engineers to integrate AI solutions into applications and products.
• Test and validate AI models and algorithms to ensure accuracy and reliability.

5. Data Quality and Integrity:

• Ensure data accuracy and integrity by cleaning, transforming, and validating data from various sources.
• Support data mining and forensic review for completeness & accuracy.

6. Reporting and Documentation:

• Prepare and present regular reports and documentation to internal stakeholders and clients.
• Be a steward of good data practices – robust documentation, process and knowledge sharing.

Qualifications & Work Experience

1. Qualifications:

• Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or Marketing Analytics preferred.
• Proven experience as a data analyst or similar role in advertising, research or consulting industry will be beneficial.
• Strong analytical thinking and problem-solving skills.
• Excellent written and verbal communication skills.
• Attention to detail and a commitment to data accuracy.

2. Work Experience:

• Minimum of 1-3 years of relevant work experience in data analysis preferred. Experience in the advertising, research or consulting industry will be a plus.
• Demonstrated experience in leveraging data to drive advertising campaign success.
• Track record of creating actionable insights and contributing to campaign optimization.
• Experience with client-facing roles or presenting data-driven insights to clients is a plus.

Skills

1. Technical Abilities:

• Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of statistical analysis and modeling techniques.
• Experience with data warehousing and ETL (Extract, Transform and Load) processes.
• Understanding of A/B testing methodologies and experimentation.
• Knowledge of machine learning algorithms is a plus.

2. Team Dynamics Abilities:

• Strong communication skills to effectively convey data insights to both technical and non-technical stakeholders.
• Collaborative mindset to work closely with cross-functional teams such as marketing, advertising, and IT.
• Problem-solving skills to address complex data-related challenges.
• Ability to mentor and provide guidance to junior data analysts.
• Adaptability to work in a dynamic and fast-paced advertising environment.

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Primary Math Teachers who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Nearest MRT: City Hall
Contract Duration: 11 Months
Working Hours: 8.30am – 6pm (Mon-Tues/Thu-Fri), 8.30am – 5.30pm (Wed)
Basic Salary: $2,800 per month

Job Responsibilities:

· Data extraction, compilation, entry and editing

· Survey preparation and call-chasing for returns

· Ad hoc administrative duties

Job Requirements:

· GCE A Level or Diploma in any discipline.

· Able to read and interpret basic financial statements

· Competent in Microsoft Excel

· Only Singaporeans.

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

Interested candidates, please forward a copy of your resume to: [email protected].

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

We are seeking a skilled Data Analyst with experience in customer profiling, segmentation, data extraction for business operations, and promotion analysis. This role will be responsible for analyzing customer data to support personalized marketing initiatives, optimize promotional strategies, and enhance customer engagement. The ideal candidate will have a strong analytical background, experience with SQL, and an understanding of customer behavior in the credit card industry.

Responsibilities

1. Customer Profiling and Segmentation

• Develop and maintain customer profiles by analyzing behavioral, demographic, and transactional data.
• Identify and create customer segments to support targeted marketing, retention, and engagement strategies.
• Collaborate with the marketing team to define and refine segmentation criteria to ensure accurate and actionable insights.

2. Data Extraction for Operational Support

• Perform data extraction using SQL or other query tools to support various business needs, including customer insights, campaign analysis, and business reporting.
• Ensure data accuracy, consistency, and integrity in all extracted datasets and analyses.
• Support ad-hoc data requests from cross-functional teams as needed.

3. Promotions and Campaign Analysis

• Analyze the performance of promotional campaigns and provide insights to optimize marketing strategies.
• Measure the effectiveness of campaigns and promotions across different customer segments, providing data-driven recommendations.
• Collaborate with marketing to test new promotional ideas and measure their impact on customer engagement and retention.

4. Customer Insights and Reporting

• Create and deliver regular reports on customer behavior, engagement trends, and segment performance.
• Use data visualization tools to present findings and recommendations in a clear and actionable format for business stakeholders.
• Identify trends and opportunities within customer data to improve product offerings and customer experience.

5. Continuous Improvement and Automation

• Seek opportunities to improve and automate data processes, reporting, and analytics workflows.
• Develop and enhance dashboards and analytical tools to streamline data access and support decision-making.
• Stay current with industry trends in data analytics and customer segmentation within the credit card sector.

Qualifications

• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related field.
• Proven experience as a Data Analyst, preferably within the financial or credit card industry.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with audit processes and regulatory compliance requirements.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

• Knowledge of data warehousing and ETL processes.
• Understanding of credit card operations and financial transaction data.
• Experience with statistical tools (e.g., Python, R) is a plus.

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Primary Math Teachers who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

• The Data Center Technician will support essential data center operations, performing tasks to ensure equipment reliability and quick resolution of incidents.
• Handle tasks such as cabling, verifying port numbers, observing equipment indicators, and server reboots.
• Conduct media management, visual inspections, device reboots, and physical setup tasks (HDD connections, network cables, fibre SFP insertion, circuit migrations, and fibre cleanup).
• Escalate incidents according to priority and SLA requirements; manage high-impact system failures and track issues through to resolution.
• Use tools such as virtual fault locators, optical fiber identifiers, power meters, and OTDRs for diagnostics and repairs.

Requirements:

• Proven experience in data center operations and technical troubleshooting.
• Ability to manage incidents effectively and coordinate escalations as needed.

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

EA (18C9514/R23118479)