Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Participate in pair programming and code reviews with fellow developers.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Proficiency in scripting languages (e.g., SQL, Python).

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

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

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

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

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

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

About the Team

TikTok’s data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..

- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.

- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.

- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.

- Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Minimum Qualifications:

- Bachelor's degree with 3 years of related work experience.

- Expertise in SQL and programming in Python or R.

- Familiar with A/B testing

- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:

- Experience of LIVE related business.

- Knowledge of machine learning and recommendation systems.

- Experience with big data technologies.

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

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

Selected candidate will be engaged under a third-party agency payroll for the tenure of employment in SRC. 2-year contract (with possibility for contract renewal).

Key Responsibilities:

• Maintain and update database in Asset Management System and Excel.
• Organize and manage data for easy retrieval and analysis, ensuring data accuracy and integrity.
• Develop dashboards in Power BI to enhance asset management.
• Compile and attach reports from various sources.
• Provide general clerical support, including filing, copying, and scanning documents.
• Coordinate with other departments to gather necessary information.
• Handle correspondence and communication related to technical tasks.

• Diploma related to IT / Engineering is required.
• At least 1-2 years of experience in a clerical or administrative role.
• Strong proficiency in Microsoft Excel, including advanced functions and formulas.
• Basic knowledge of report generation and document management.
• Experience with data management and analytics is highly desirable.
• Previous experience in a technical or engineering environment is a plus.
• Power BI advanced user certification and experience handling "big data" is an advantage.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of work experience in quantitative analysis (minimum of 1 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• A minimum of 2 years experience leading product analytics and influencing product roadmap
• A minimum of 2 years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Core statistical knowledge
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Marketing Operations Executive (Junior) - Admin Role

Working days: 5 days (Mon - Fri)

Working hours: 10am - 6pm

Location: (Tiong Bahru)

Salary: $2000 - $2400

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

#SCR-angel-liew

Job Responsibilities

• Manage communication between Sales & Marketing team to ensure all are aligned with product delivery strategy.
• Build rapport with both internal and external stakeholders to ensure projects are delivered on time.
• Conduct internal and market analysis to identify key areas of growth for new products.
• Help build and improve resilient internal processes that will allow the business to scale quickly.
• Issuing invoices and airway bills to customers and counterparts.
• Assist in some packing and labelling for products delivery
• Reply to customer inquiries via email and on social media platforms.

Requirements

• Must have knowledge of appropriate software including Ms word, excel, power point, google etc.
• Possess at least Nitec education

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Develop and write clear, engaging content for a variety of platforms, including websites, social media, newsletters, and press releases
• Assist with the production of internal newsletters, bulletins, and other communication materials
• Coordinate public relations activities and ensure effective media coverage
• Manage the company’s social media presence, including creating posts, engaging with followers, and monitoring social media trends
• Ensure that all messaging and communication strategies align with the company’s mission and values
• Help coordinate and support internal and external events, including webinars, conferences, and seminars
• Manage the company’s relationships with external partners and ensure positive communication channels
• Conduct research to identify audience trends, competitors, and industry news to stay up to date on best communication practices
• Track the performance of campaigns and provide feedback for improvements
• Prepare reports on communication activities, including social media analytics, campaign performance, and media coverage

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong interpersonal skills, with the ability to build relationships and collaborate effectively with internal and external stakeholders
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Conduct thorough research to analyze industry trends, customer behavior, and competitor activities to provide actionable insights for marketing strategies
• Analyze marketing data, including campaign performance, customer demographics, and sales data, and generate detailed reports to guide decision-making
• Monitor and assess the effectiveness of marketing campaigns across various channels (digital, print, social media) and recommend optimizations
• Use data to segment customers based on behavior, preferences, and demographics to help tailor marketing efforts to different target audiences
• Stay updated on emerging marketing trends and technologies, ensuring the organization remains competitive and relevant in the market
• Track competitors' marketing strategies, campaigns, and initiatives to identify strengths, weaknesses, opportunities, and threats
• Work closely with the marketing team to develop and refine strategies, helping to align marketing efforts with business objectives
• Provide insights on the ROI of marketing activities and deliver performance reports to senior management, offering recommendations for improvement
• Analyze the effectiveness of various content types (blogs, videos, emails, etc.) and recommend changes to increase engagement and conversion rates
• Utilize marketing automation tools to streamline processes, track customer journeys, and enhance customer engagement efforts through targeted campaigns

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical skills with the ability to interpret complex data sets and draw actionable insights
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Who we are:

minden.ai is a technology venture founded by Temasek in strategic partnership with DFI Retail Group and coalition partners BreadTalk Group, DBS Bank, PAssion Card, Mandai Wildlife Group, Singtel, FoodPanda, GoJek and Great Eastern. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.

The way we work:

At Minden, we treat each other with respect. We embrace authenticity and transparency. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement. We strive to be the preferred employer by providing comprehensive benefits, a dynamic and exciting working environment, work-life balance and effort recognition.

We are seeking for individuals with grit and passion, an insatiable intellectual curiosity and a heart for people to amplify effectiveness as a team.

As a Senior Data Engineer, you will:

• Contribute to the design and implementation of a scalable and reliable data platform based on the data mesh principles with modern data stack.
• Develop and maintain efficient data pipelines to ingest, transform, and store data from various sources.
• Collaborate with engineers across domains to understand their data needs and develop self-service data access tools and APIs.
• Contribute to the development and improvement of internal data products
• Partner with the data science and analytics teams to ensure their data needs are met.
• Follow and contribute to the continuous improvement of data standards and best practices.

What you should have:

• Bachelor's degree in Computer Science, Data Science, or related field
• 4+ years of experience as a Data Engineer or similar role. Additional experience as backend software engineer is preferred
• Proficiency in programming languages like SQL, Python, Java, or Scala, and experience with big data processing frameworks like Apache Spark.
• Experience with dimensional modeling, data warehouse and data lake.
• Experience with modern data stack (eg. Snowflake, dbt, airflow, etc) is a plus.
• Understanding of data mesh principles and concepts is beneficial.
• Experience working in an ambiguous, low control yet fast paced startup environment

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

Data Application Specialist

Responsibilities:

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
• Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
• You will develop data models by selecting from a variety of modelling techniques and implementing the chosen data model using the appropriate technology stacks.

Requirements:

• From 2 to 4 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, QlikSense
• Proficiency in handling programming languages projects such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Experience with industry standards within Data Management like ETIM, eCl@ss, BMEcat and other systems like ERP, PLM (product life-cycle management) and ecommerce platforms.
• Previous PIM system experience is a must
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

What do we do?

Join the ride at SWAT Mobility - If you're up for a challenge with one of the most exciting startups in the field of Smart Mobility, Transit and Logistics Technology!

SWAT is a high-tech mobility company that focuses on dynamic, on-demand, ride-sharing technology. With our world-class routing platform, we have deployed our solutions for governments in Singapore, Japan and Australia. Having deployed in 8 countries, we also look at solving multiple mobility challenges including optimizing employee transport for large corporations, reimagining public transport, creating data driven intelligent transport planning and introducing high tech logistics solutions to bring higher convenience, better visibility and reduced cost to our customers.

We are on a mission to empower the world to move more with less.

SWAT is looking for a Business & Data Analyst to join the Analytics Team. The ideal candidate is someone who is able to think critically, is a self-starter, and comfortable with open ended problem solving. We value effective communicators with a positive work attitude that are motivated by the desire to learn, achieve and contribute.

Responsibilities

• Partner with sales and operations teams in developing pre-sales solutions, analyzing client data and validating solutions with our in-house simulation engine.
• Support analytics services delivering large-scale analytics consulting projects.
• Design and implement operational dashboards and queries for internal/external stakeholders to assist in pattern, trend and business insights identification.
• Write scripts to automate reports workflows and processing of large datasets.

Desired Skills

• Advanced Python knowledge
• Basic to intermediate SQL knowledge
• Ability to work with large amounts of data to discover patterns and trends and form conclusions based on findings. Must be extremely detail oriented.
• Ability to create beautiful, structured presentation decks
• Excellent analytical, communication and problem-solving skills
• Exposure to one or more dashboarding platforms (Tableau/PowerBI/Metabase)
• Knowledge of Geographical Information Systems (GIS) tools would be a bonus
• Experience in the transportation sector would be a bonus

Qualifications

• Minimum of 3 years experience in a Data Analytics role.
• Bachelor’s Degree or higher from a recognised university, preferably in a quantitative subject.
• If you are not from a quantitative subject you are still more than welcome to apply, so long as you are able to meet the technical skill requirements specified above.

Our client, a global leader in real estate and workplace management solutions, is seeking a skilled Data Center Operations Technician to support the daily operations of their data centers and critical facilities.

This role involves troubleshooting, coordinating vendor/contractor activities, and ensuring seamless operation and maintenance of infrastructure systems. If you are successful in this role, you will enjoy the following:
- Competitive salary and benefits package
- Opportunity to work in a renowned real estate firm globally
- Collaborative and dynamic work environment
- Professional development and growth opportunities


Key Responsibilities:
- Lead and manage contractors/vendors in daily data center operations.
- Monitor and inspect infrastructure systems, facilities, and environmental controls.
- Handle system alerts, incident management, and escalations for downtime.
- Oversee service desk operations and ensure adherence to safety practices.
- Liaise with stakeholders on utilities, building services, and system issues.
- Assist in disaster recovery planning and execution.
- Maintain and update records, permits, and asset databases as per CMMS requirements.
- Review operations periodically, report gaps, and prepare monthly updates.Key Requirements:
- Diploma in Computer Science or a related field.
- Relevant certifications such as Certified Data Centre Professional.
- At least 3 years of experience in data center operations, facilities monitoring, and management.
- Knowledge of data center facilities, including CRAC, fire suppression systems, water detection systems, and UPS.
- Familiarity with service desk operations and incident management processes.
- Basic understanding of MEP (Mechanical, Electrical, Plumbing) systems.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075

Position Summary:

This position requires in-depth technical understanding and rich practical experience in data security, risk mitigation technology, and R&D engineering. Through the R&D, integration, and implementation of data security engineering, we will implement a data security operation platform for supporting data security operations, privacy and compliance teams to identify, assess, and mitigate risks. The candidate should be familiar with software engineering industry standards and best practices, and be able to effectively collaborate with multiple parties, including Big data team, technology R&D, and other security departments.

Responsibilities:

• Facilitate risk analysis, data security requirements, and technology roadmaps with Tech & security teams, ensuring compliance with industry and regulatory standards (e.g. CCPA, PDPA).
• Collaborate with security teams across regions to develop strategies and execute projects based on compliance and data protection needs to safeguard customer and enterprise data.
• Responsible for the data security engineering and solutions end-to-end, from technical design, R&D development, implementation, and commercial system integration.
• Implement data security operation platforms including data discovery, classification, de-sanitization, compliance control, and leakage prevention.
• Integrate commercial data security tools such as endpoint DLP, cloud DLP, CASB, data discovery and classification, and privacy DSR platform, ensuring alignment with EU data protection regulations.
• Ensure that data security measures integrate seamlessly with company-wide security strategies and contribute to the overall security posture.

Skills and Qualifications:

• Data Security Proficiency: Practical working knowledge of data security solutions including data discovery, classification, de-identification, and leakage prevention using tools such as endpoint DLP, cloud DLP, CASB, and Privacy DSR tooling.
• Software Development Experience: At least 5 years of solid experience in software development, with a preference for expertise in Java.
• Database and Applications: Familiarity with relational databases like MySQL and applications such as Redis, MQ, and Elasticsearch.
• Big Data Technologies: Knowledge of big data related technologies like Flink, Storm, Kafka, etc., is preferred.
• Education Level: Bachelor’s Degree
• Field of Study: Computer Engineering, Computer Science, Information Technology, Cybersecurity, or related fields.
• Certifications: Relevant cybersecurity certifications such as CISSP, CISM, CISA, or PMP are highly desired.

We are hiring a HR Data cleansing Officer !

Contract Duration: 6 months (possible renewal)

Salary: $2,500 - $3,000

Working Hours: Monday to Friday, 9:00 am - 6:00 pm

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Work closely with fellow developers through pair programming and code reviews.
• Lead the design and implementation of data solutions in a big data environment.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).
• Leadership experience in data engineering projects.

ARE YOU SEEKING FOR GROWTH YET YOU WANT A FULFILLING CAREER?

Be ready to embark on a journey which offers you an exciting opportunity!

HERE’S A SHORT INTRO OF WHO WE ARE

Since 2005, finexis has been more than just a financial services provider – we are lifelong confidantes, guiding clients through every stage of their financial journey. As the largest and fastest growing independently-owned financial advisory firm in Singapore, we are proud to have over 900 consultants and staff, $1 billion in assets under advisory, and strategic partnerships, that establish us as a market leader in personalised financial services.

We deliver tailored financial solutions in wealth management, investment planning, and risk management, all driven by our mission to impact lives beyond finance.

WHAT TO EXPECT

This role includes reporting and data analytics, performance management, business partnering and decision-making support.

WHAT YOU'LL DO

• Support business performance management cycles, including planning & budgeting, target setting, performance review, providing management information and analytics (scheduled and ad-hoc), etc.
• Responsible for streamlining and controlling business and financial data processes to ensure the accuracy and reliability of reports and analysis
• Serve as subject matter expert in designing, building, and maintaining business intelligence tools and Tableau dashboards
• Conduct comprehensive market studies to generate actionable business intelligence and strategic insights
• Support initiatives to develop financial models, prepare business cases, and support the implementation of strategic initiatives
• Create and maintain reusable SQL scripts and macros to streamline data extraction, aggregation, and validation processes across multiple data sources
• Undertake special projects and assignments as and when required.

WHO YOU ARE

• Degree in Accountancy, Finance, or related disciplines
• 3 years of working experience in Big 4, financial services, or e-Commerce sectors with financial analyst exposure
• Hands-on experience with Tableau, SQL and Python are highly desirable
• Strong analytical and problem-solving skills, with the ability to exercise sound judgment and intuitive thinking
• In-depth understanding of data structures and data management
• Meticulous, problem solver with a can-do attitude and a desire to excel
• Team player with excellent verbal and written communication skills
• Ability to work in a fluid, dynamically changing, and results-oriented environment

· Degree in engineering, computer science, information systems or equivalent

· Certification in these areas is a plus: PMP, PRINCE2, CBAP, ITIL

· Min 3-5 years of experience managing SAP data migration, roll out and implementation projects and is familiar with SAP implementation methodologies

· Possess strong project management skills with a track record of delivering projects on time and within budget

· Experience seeing through a business process-reengineering program and knowledge of plant maintenance best practices an added advantage.

· Strong problem solving and analytical skills

Job Description

Purpose of job:

• Design and implement scalable data pipelines and ETL processes for extracting, transforming, and loading data from various sources.
• Optimize and monitor data workflows to ensure data quality, reliability, and performance.
• Provide clean and comprehensible data to end-users that can be efficiently used to create KPIs or for analysis purposes
• Automate data and reporting to support data analysis, data science, and the business.
• Collaborate with cross-functional teams to gather requirements and understand data needs for business intelligence and reporting.
• Mentor and provide guidance to team members.

Main Responsibilities:

• To create/automate data pipelines on Azure cloud and on-premise infrastructure.
• To monitor all data pipelines to ensure they run smoothly and fast.
• Enhance and streamline business intelligence tools, processes, while implementing them strategically
• Participate in the development of data warehouse and its design
• Developing data marts and data cubes to support data self-service initiatives across the Group
• Improve database query performance to improve end-user querying and reports generation
• To support ad-hoc data requests to the business and third parties.
• Create/maintain technical documentation for BI interface, e.g. API documentation, known technical issues, etc

Main Duties

• Ensure all regulatory returns are prepared accurately and in compliance with local reporting requirements which includes ACRA and MAS related submission.
• Co-ordinate the monthly, quarterly, and annual closings of financials with Technical Accounting and Finance Operations
• Review closing journals and entries for accuracy, conduct thorough financial analysis and ensuring consistency with budget expectations and reforecasts.
• Assist in preparing the IFRS17 trial balance and corresponding reporting to home office, including attending to associated queries.
• Coordinate with the tax agent for all the necessary tax submissions.
• Coordinate and support annual audit activities by ensuring timely preparation of Financial Statements and supporting schedules. Facilitate communication and information exchange between external auditors and internal teams.
• Assist in resolving audit queries and ensuring compliance with audit requirements and deadlines.

Experience

• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer.Cloud Technology, Microsoft SQL Server and Data warehouse.

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Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Role Type – Contract Based
Role Tenure – 6 month to One Year
Location – Singapore
Requirement – Singapore PR

Key Responsibilities:

1. Data Architecture Design:

- Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.

- Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

- Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.

- Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

- Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.

- Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

- Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.

- Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

- Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.

- Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

- Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.

- Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

- Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.

- Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

- Experience:

- 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.

- Proven experience with Azure cloud technologies for data storage, processing, and analytics.

- Technical Expertise:

- Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.

- Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.

- Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.

- Domain Knowledge:

- Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.

- Familiarity with risk management frameworks and financial performance metrics.

- Soft Skills:

- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.

- Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

- Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.

- Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

- An opportunity to work on impactful data-driven projects in the structured finance sector.

- A collaborative and innovative environment focused on professional growth and cutting-edge solutions.

- Competitive compensation and benefits package.

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Develop, implement, and maintain training programs that align with organizational goals and employee development needs
• Work with department heads and managers to assess training needs and design programs to meet those needs
• Schedule and coordinate training sessions, workshops, and seminars, ensuring logistical arrangements are in place (e.g., venue booking, equipment, materials)
• Serve as the point of contact for trainers and ensure they have the necessary resources to deliver successful training
• Maintain records of employee training activities and monitor progress to ensure completion and success of training programs
• Collect feedback from trainees and managers to assess the effectiveness of training programs and recommend improvements
• Oversee and maintain the company’s Learning Management System (LMS), ensuring all training materials are updated and accessible
• Ensure all training complies with industry standards and regulations, and track certification status where applicable
• Assist in budgeting for training programs and track expenses, ensuring cost-effective training solutions. Provide reports on training outcomes and ROI
• Stay updated on industry trends and best practices, and introduce new training methods and technologies to enhance the training experience

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong organisational and time-management skills to manage multiple training programs simultaneously
• High attention to detail to ensure training materials are accurate and effective
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

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

Job Summary:
Day: Monday - Friday
Timing: 7.30am -5pm
Location: CCL - Labrador Tower (3 mins walk from Labrador Park Mrt)
Salary: up to $1700

Job Scope:

• Sorting and dispatching of designated Incoming and Outgoing Mails.
• Stock checking for supplies including printing papers, stationaries and pantry supplies
• Liaising with third parties in deliveries of office supplies.
• Processing regular mails and registered mails to be posted.
• Manage the maintenance of equipment in mailroom
• Handle and process requests for staff name cards
• Escort supplier to top up stores and paper supplies, and contractors/vendors technician within the office for respective works.

Job Requirement:

• Min O Level, Nitec or Higher Nitec or Equivalent
• Fluent in written and spoken English
• Good organisational skills
• Mature and able to work independently
• IT skills including use of MS Outlook, Word and Excel
• Knowledge of customer service
• Able to handle administrative tasks
• At least 2 years’ relevant working experience in an office environment performing administrative duties
• Working experience in mailroom functions and/or front desk would be an advantage

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

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

Eugene Eiap Yeow Hong

Registration Number: R23112438

EA License No: 06C2859 (MCI Career Services Pte Ltd)