Thakral One is a technology consulting and services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

The Role:

We are currently on the look-out for a Senior Business Data Analyst for a project with one of our multinational banking clients. You will have experience in working in complex banking programs responding to existing and new data requirements to assess and track application and user migration status.

The Requirement:

• Minimum 8 years experience as a Business Analyst in a banking environment
• Data management and reporting experience
• Experience working in complex technology transformation programs in banks
• Eliciting and responding to existing and new requirements
• Technologies: Jira, Confluence, Excel, Tableau, Alteryx and Powerpoint

• Role: Fulfilment Officer [ Bank Processing ]
• Working Location: Mapletree Business City (Pasir Panjang / Labrador MRT)
• 5Days Mon to Fri 9am to 6pm
• Basic Salary: $2500

Responsibilities & Duties:

1. Do follow ups calls to clients
2. Assist them to submit their applications through bank system
3. Follow up pending documents with clients and processing team
4. Submit end day report to the management
5. Objection handlings
6. Work closely with relevant departments to resolve clients’ issues and concerns
7. Products and systems training will be provided
8. Training provided

#SCR-carson-cheong

⭕ Cheong Kar Chun ⭕ Team Manager ⭕ R1980386

⭕ The Supreme HR Advisory ⭕ 14C7279

Responsibilities

Pharmacy Operational duties

• Processing medication orders
• Picking, packing and labeling of medicines in accordance to Standard Operating Procedures ( SOP)
• Perform the following medication reconciliation steps: counting, sorting and typing of prescriptions
• Perform billing functions

Provision of quality customer service

• Provide professional and courteous service to all patients/customers

Inventory Management

• Review and update inventory level base on consumption on a regular basis
• Oversee storage conditions, expiry checks, audits and reporting of defects of drug products within the institutions
• Plan and ensure that cycle counts and stock take are conducted accurately and accordingly to the StandardbbOperating Procedures
• Sterile and Non-sterile Manufacturing (Laboratory & Cancer Centre Pharmacy)

Requirements

• Min Dip in Pharmaceutical Science (Clinical Track)
• Those with pharmacy tech exp will be an advantage
• Those without exp are welcome to apply

Office hours / Shifts available!

Interested candidates, please forward your resume to [email protected]

Ann Goh Xin Ting

R1875289

Recruit Express Ptd Ltd (99C4599)

We are seeking a proactive and skilled Data and Technology Specialist to join our People Technology team, which sits in the wider People team. This role is based in Singapore and focuses on supporting and optimizing our people (HR) systems, primarily Workday. The ideal candidate will ensure smooth operation of integrations, reporting, and security frameworks while also building new integrations as business needs evolve.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. We’re 6000+ Wisers strong, with over 70 nationalities working in 25+ locations around the globe! 
This is a unique opportunity to join Europe’s most valuable fintech company at a pivotal time in evolving our global People technology, automation and data capability. Keeping a customer first mindset, you’ll be working closely with our People Technology Lead (Senior System Architect) in building, designing, delivering and maintaining Workday and all other People Systems across Wise.

Key Responsibilities:

Integrations Management:

• Monitor, maintain, and troubleshoot existing integrations across the HR system landscape.

• Design, develop, and deploy new integrations as required, leveraging Workday Extend or other relevant tools.

• Collaborate with internal and external stakeholders to ensure integrations meet business requirements and are scalable.

Reporting and Analytics:

• Develop and maintain robust reports and dashboards to support HR and business operations.

• Ensure data accuracy and alignment across systems for meaningful insights and decision-making.

Security and Compliance:

• Manage user access and role-based permissions within Workday and related systems.

• Ensure compliance with organizational policies, data governance, and industry regulations.

• Conduct regular audits to identify and address security vulnerabilities.

Collaboration and Support:

• Work closely with HR, IT, and external vendors to resolve system issues and implement enhancements.

• Provide training and support to HR and other stakeholders on system functionalities.

• Stay updated on Workday releases and best practices to leverage new features effectively.

We are seeking talents who are motivated and analytical to join our team as a Data Analyst Intern. We are working on an enterprise level ML model for one of the largest operator groups in the Singapore healthcare industry. This internship provides practical experience in data analysis, machine learning, algorithms in a nascent healthcare application.

Primary Responsibility

• Carry out machine learning projects in data training and inference.

• Collate and manage project results for follow-on projects development.

• Review ML and algorithmic models from technical journals. Provide pros/cons analysis to shortlist for feasibility testing.

• Perform data analytics on datasets for preparation and data insights for ML tuning.

Requirement

• Currently pursuing a bachelor's or post-graduate degree in a relevant field, such as Data Science, Physics, Statistics, Mathematics, or Computer Science.

• Strong analytical and problem-solving skills.

• Competent in Python data analysis, ML tools etc.

• Familiar with various ML framework and algorithmic programming methods would be advantages.

Benefits

• Work in a dynamic pace and product rich environment.

• Able to work with and experience best-of-breed software design and implement experts.

• Abundance of deep-tech learning experience.

• Actual Renumeration depends on experience.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

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

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

We are seeking a dynamic Junior Data Engineer to join our Regional Data team to help foodpanda make smart, data-driven business decisions. We maintain data ingestion pipelines while creating and maintaining products and frameworks to empower teams to craft insights and build quality data products.

Responsibilities

• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.
• Ingesting first and third-party data sources into our petabyte-sized data warehouse.
• Curating and maintaining high-quality data assets so our data scientists and analysts can make informed decisions and create better products.
• Creating and maintaining tools that enable data consumers to use our data better.
• Collaborating with cross-functional teams to deliver high-quality data assets.

"• Dedicated as well as hard working individual with the intercommunication skills to work at all the level of organization.
• Possess an in-depth knowledge of data center infrastructure technology and components for installation.
• Working knowledge of Data Centre Mechanical & Electrical for operation.
• Vendor management.
• Extensive knowledge garnered working as a Data Center Operator
• Thorough knowledge of Data Center Operations with strong knowledge of Operations methodology.
• Experience in eye-ball checking of system faults and failures
• Good technical knowledge on Data Centre monitoring tools.
• Strong written and excellent communication skills."

Must have Talent / Skills

Ever work in Data Centre

"• ITIL Process Knowledge
• WOG experience "

Responsibilities:

1. Monitor real-time security operations at overseas IDC, including personnel and asset surveillance. Respond promptly to security incidents, coordinate, and follow up on incident handling to ensure stable, secure, and efficient overseas data center operations.

2. Develop and optimize operational management standard procedures, and establish the framework for IDC security operation management systems. Enhance the standardization of global data center operations.

3. Oversee the construction of the IDC alarm, incident, risk, and drill management system. Drive execution through data-driven approaches, and facilitate the evolution towards automation and intelligence.

4. Collaborate in optimizing the security operation management platform, contributing to the development of automation tools for centralized and refined management of global IDC.

Requirements:

1. Bachelor's degree or higher, with a preference for a major in computer/electronics.

2. Over 2 years of relevant work experience, demonstrating operational and management expertise in large-scale security service projects.

3. Familiarity with security incident emergency response processes. Ability to track, analyze, handle, and resolve various security issues and incidents. Understanding of relevant security standards, regulations, and security systems.

4. Preferably with a background in the security industry or a large security services company.

5. Proficient in both Chinese and English languages.

About Synechron:

Synechron Singapore is a leading consulting and technology services firm specializing in the financial services sector. Our Singapore office focuses on delivering innovative digital transformation solutions to top-tier banks, insurers, and capital markets. We cultivate a diverse and inclusive environment where talent thrives, offering opportunities for professional growth and development. With access to cutting-edge technologies, our teams work collaboratively to create impactful solutions that enhance operational efficiency and customer experiences. Synechron Singapore is committed to excellence and actively engages in community initiatives, making a positive impact in the region. Join us to shape the future of financial services and technology

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 6+ years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

At Synechron, we recognize that diversity is essential to our success. We are committed to fostering an inclusive environment where all employees feel valued and empowered to share their unique perspectives. We embrace differences in race, ethnicity, gender, sexual orientation, age, religion, disability, and cultural background, understanding that these attributes enrich our workplace and enhance our service to clients.

Our initiatives aim to promote equal access to opportunities and ensure that diverse voices are heard. By championing diversity and inclusion, we strengthen our ability to innovate and meet the challenges of the financial services industry

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

The Data Center Engineer will focus on the installation, maintenance, and management of data center hardware and infrastructure. This role is responsible for monitoring hardware performance, maintaining an accurate inventory of data center equipment, and coordinating with vendors for procurement, repairs, and warranty services. The technician will ensure that all hardware operations support uptime requirements and efficiency across the data center.

• Hardware Installation & Maintenance: Install, configure, and decommission servers, storage devices, network equipment, and other hardware as required. Conduct regular maintenance, diagnostics, and troubleshooting of hardware systems to ensure optimal performance and reliability. Coordinate and perform hardware upgrades or replacements to maintain up-to-date infrastructure.
• Vendor Coordination & Management:Engage with vendors to source, order, and manage hardware procurement, ensuring timely delivery and installation. Handle vendor communications for equipment maintenance, repairs, and warranty claims. Review and evaluate vendor performance, track service agreements, and escalate issues as needed.
• Data Center Operations Support:Perform regular walk-throughs and visual inspections to ensure hardware and environment meet operational standards. Monitor power and cooling systems, coordinate with facility teams for any required adjustments to environmental conditions. Ensure data center hardware setups align with SLAs and availability targets, reducing downtime risks.
• Documentation & Reporting:Keep thorough records of installations, repairs, configurations, and hardware movements within the data center. Develop and maintain SOPs for hardware management, vendor coordination, and inventory procedures. Generate and present regular reports on inventory levels, vendor issues, and hardware performance metrics.
• Security & Compliance:Ensure compliance with security protocols and data center access policies, managing hardware-related security aspects. Support periodic audits for physical security and inventory management to align with company standards and regulations.

Qualifications:

• Education: Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (preferred but not required)
• Experience: 1-3 years of experience in data center hardware management, IT infrastructure, or a similar role.
• Certifications: CompTIA A+, Server+, or other relevant certifications (preferred).

Skills:

• Hardware Expertise: Strong understanding of servers, storage devices, networking hardware, and related data center infrastructure.
• Inventory Management: Experience in tracking and managing inventory levels, procurement processes, and forecasting needs.
• Vendor Relations: Ability to effectively manage vendor relationships and coordinate hardware delivery, maintenance, and warranty services.

As a Facility Manager, you will maintain, operate, and troubleshoot, with the assistance of the site engineering operations team, the mission-critical data center facility equipment including electrical support equipment such as stand-by diesel generators and related fuel systems, 3 phase electrical systems that include but not limited to switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAC units, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, and motors. We have a passion for learning and evolving, it’s how we have helped define ourselves as leaders in the industry.

Key job responsibilities
• Oversee all aspects of the data center’s critical physical infrastructure. Maintain high availability and performance while ensuring that all work performed within the site is done to high quality without impact to internal/external customers and maintain service level agreements.

• Lead and manage budgeting and procurement for Data Center’s related goods and services.
• Manage teams of 24x7 engineering team in all facets of their career. Prioritize and assign tasks to data center technicians and operators, manage projects, coach and create documentation. Guide, train and educate staff on best practices related to all service owner issues.
• Effectively and efficiently manage the operations budget and expenditures.
• Engage in improvement projects, often requiring reaching out to a variety of support teams, and drive them from conception to completion.
• Coordinates daily with a multitude of third party vendors ensuring adherence to contracted SLAs.
• Communicate complex technical information to a non-technical audience.
• Respond to out-of-hours emergency calls.
• Is the second level escalation points for Data Center facilities related issues/failures.
• Act as an escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Ensure all safety procedures are adhered to while performing work.
• Manage emergency situations and lead emergency response team.
• Test quality, performance, safety, and reliability of products, equipment and processes.
• Perform extended site rounds that could include long distances of walking and long periods of time being away from a desk.
• Role may support more than one location/site.
• Manage talent acquisition process and people development for DCEO organization.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

Requirements

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

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.

About the Role

We are seeking a highly skilled and detail-oriented Data Management Specialist to join our dynamic team. This role is ideal for individuals with a strong background in data management, analytics, and engineering, particularly within the investment and banking industries. You will work closely with diverse stakeholders to design, implement, and maintain robust data lifecycle solutions.

Key Responsibilities

• Collaborate with business users (e.g., research analysts, quantitative strategists) and technical teams (e.g., data engineers, data scientists) to develop and support data lifecycle solutions such as data onboarding and distribution.
• Validate and contribute to the design of lifecycle data solutions to ensure alignment with business and operational needs.
• Oversee day-to-day operations, including metadata collation, analysis of system operations data (e.g., data quality metrics), and data distribution service usage.
• Perform data access control operations, ensuring compliance with enterprise data governance and handling standards.
• Serve as the Center of Excellence for common data lifecycle services by defining standards, best practices, and workflow processes to improve operations and ensure compliance.
• Monitor, analyze, investigate, and resolve operational incidents while providing advisory support to users.
• Continuously identify opportunities for improvement in processes and operations.
• Build and maintain strong stakeholder relationships to support current and future data lifecycle needs.

Mandatory Skills and Qualifications

• Education: Degree in Accounting, Finance, Engineering, Computer Science, Information Technology, or a related field from a recognized tertiary institution.
• Experience: Minimum 5 years in data management, analytics, or engineering, preferably within the investment or banking industries.
• Technical Expertise:Strong knowledge of data management principles, key controls, and processes, including data integration and distribution.
  Proficiency in programming languages such as Python, Java, and SQL.
  Familiarity with data visualization tools (e.g., Tableau, Power BI) and virtualization technologies (e.g., Denodo) is a plus.
  

Skills:

• Meticulous and detail-oriented with a strong focus on operational accuracy.
• Proven ability to design and implement solutions and conduct code reviews.
• Excellent written and verbal communication skills.
• Strong interpersonal skills to interact effectively with diverse stakeholders.
• Agile and quick to learn, with the ability to adapt to changing environments.
• Strong analytical skills and a passion for solving complex problems.
• Experience with SDLC implementation methodologies and/or Agile frameworks like Scrum and Kanban.

EA License: R1873481

Company EA License: 11C4879

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

About the role:

We seek a visionary and experienced Data Manager to head the Financing products analytics team. In this leadership role, you will build and manage a high-performing data team that provides data-driven insights and support to our Financing products business groups. You will be pivotal in developing and implementing data strategies that maximize user acquisition, improve conversion rates, and ensure responsible financial practices across both verticals.

Responsibilities:

• Lead and manage a team of data analysts, ensuring their skills and expertise cater to the specific needs of the Financing products team.
• Partner with Financing products commercial stakeholders (e.g., Marketing, Sales, Product) to understand their unique business objectives and translate them into actionable data requests.
• Develop and implement a unified data strategy for financing activities aligned with company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
• Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
• Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences.
• Stay up-to-date on the latest data science trends and technologies relevant to the FinTech and insurance industries, and implement tools to enhance Financing products analytics capabilities.
• Foster a collaborative and data-driven culture within the Financing products teams.

‎

Requirements:

• Minimum 7+ years of experience in a data leadership role, preferably within the financial technology industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Roles & Responsibilities

We are recruiting and we want you!