Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

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

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.

The Opportunity:

• Permanent Role
• Working Location: East
• Work hours: Mon to Fri 8:30am - 5:30pm (minimal OT)
• $4500 - $5500 Basic + Moblie Claim + Transport Claim + Bonus

Adecco is partnering with a APAC Leader in Data Center more than 60 years presence in the regions.
Candidate can expect the working culture with open communication and team work dynamics.

The Job:

• Daily Service Operations: Manage cross-connects, remote hand support, and service reporting while ensuring efficient issue tracking and resolution.
• Customer Project Support: Oversee co-location delivery, vendor installations, cabinet placement, and customer site visits for seamless project execution.
• Fault Resolution: Provide effective second-line support and escalate issues as needed to ensure timely resolution of data center faults.
• Leadership & Process Improvement: Lead outsourced operations teams, optimize workflows, and enhance service delivery to improve turnaround times and customer satisfaction.
• Performance Reporting: Deliver timely and accurate management reports on data center performance and operations.

The Talent:

• Diploma/Degree in engineering/facility/operation or technical discipline
• 3-5 years professional working experience in Data Center Service Operation & Facility Management
• Only Singaporeans.

Next Step:

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

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Process Support:

- Keep up to date with latest procedures, forms and templates

- Assist to raise requests, complete forms, obtain approvals, etc. as required by process

- Track timeline and actions according to plan

- Coordinate and follow up to meet timelines

- Organize and file documents

2) Department Asset Inventory Management:

- Document purchases

- Regularly report expiries in advance and expenses against budget

3) Department Budget Record:

- Populate budget items

- Document submitted and approved budget

- Document allocation method and allocation

4) Department Initiative/Program/Project Tracking:

- Document all initiatives, programs, projects

- Record status in regular department meetings

5) Department Visitor Management:

- Manage access and refreshment if required

- Receive and bring visitors to meeting area

6) Department Communication Management:

- Regularly check department mailboxes, emails, tickets to ensure timely response

- Coordinate and schedule department meetings

- Manage and distribute Work From Home/Office schedule

7) Department Reporting:

- Assist in compiling committee and board reports

- Note and remind presenters of reporting schedules

8) Process Improvement:

Constantly look to enhance current process with better tools or methods

Job Requirement

• Proficiency in MS Office (Word, Excel, PowerPoint) and other office software
• Strong written and verbal communication skills
• Good time management and prioritization skills
• Preferably has experience working with cross-geographical teams
• Proven experience as an administrative assistant or similar role
• Diploma or equivalent
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

Highlights:

• Fortune 500 MNC
• Permanent job opportunity
• Great remuneration & benefits
• Great career progression
• Location: Cental

Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.
• Overseas process development support for short term assignments.

Requirements:

• Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp. (Computer Science / Data Science / Statistics Applied Science etc)
• Programming skills: Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, please click on “Apply Now”or email to [email protected] with provided your latest resume in MS WORD format with below information.

• Last drawn salary
• Expected salary
• Notice period
• Reason for leaving

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lim Dick Sern (Dick Sern)

EA Personnel Reg No: R22106832

Our client a global financial markets software provider who focus on data related software services and products are looking for a Data Software Specialist to represent them on their client sites. The Specialist will work on new implementations and enhancements of existing software. The products are data solutions for front, middle and back-office environments within banks, asset managers and hedge funds.

Key Responsibilities:

· Working with the Sales and Pre-Sales teams on customer demonstrations of the data solutions products.

· Conduct business analysis of the requirements from clients, translating these into technical solutions.

· Take care of the design and implementation of the products for the client making sure they configured correctly as per requirements.

· You will leverage your MDM or EDM ( Master Data or Enterprise Data) data software experience with the new implementations and the enhancements.

· You will leverage your software development background and hands-on scripting skills in SQL and/or Python.

· Project Manage the implementations and/or enhancements with the help of the Pre-Sales/Post Sales team and Program Managers.

· Provide training and post implementation support as needed.

Key Experience Needed:

5+ Years of IT experience

· You will be coming from a software development and/or data solutions background with hands on experience with SQL or Python Scripting and ideally some data modelling, ETL tools experience.

· Your understanding of Master Data Management (MDM) and/or Enterprise Data Management (EDM) will be excellent.

· Any software development experience with JAVA, C#.NET, C++, or any other languages will be a big plus as you will need to be able to understand the code to write some rules via scripts.

· Be able to conduct business analysis activities, taking requirements, building documentation.

· Have experience with configuration and customizing of data software products.

· Financial markets industry experience and some understanding of asset classes is essential.

· Any experience with financial markets data feeds for example, Bloomberg and Refinitiv is preferred.

· You will enjoy working in customer facing role and so will have excellent communication and stakeholder management skills.

This is a great opportunity to join a global MNC, with a fantastic team, work on exciting market leading data software solutions products with a business that is growing across APAC.

Apply NOW if you want to find out more !

Speak to you soon.

Adam Davies

Partner

Technology 'recruitment & search'

Menrva Group, Singapore

Registered Agent R1326604

Company EA License 19S9808

Company Registration 201900823K

MENRVA PTE. LTD.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
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https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Justine @ 9755 9161

Shortlisted candidates will be notified

Justine Lam Nyok Yuen

Reg No. R1218722

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories is a plus.

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- 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.

Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.

Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

Responsibilities

• Facility/Infrastructure Maintenance
• Performs site inspections and monitors the building and Data Center alarms
• Performs preventative maintenance on site infrastructure (e.g. maintenance of primary infrastructures), or manages vendors
• Leads repairs and corrective maintenance
• Advises other team members on repairs and preventative maintenance
• Leads and coordinates critical infrastructure operations Site Administration
• Completion of site logs and issuing of permits, such as MOPs and scripts Incident Management · Instructs on-site staff during incidents Work Orders
• Leads others with work requests and circuit installations
• Performs capacity management Collaboration
• Identifies and understands underlying issues probes the facts
• Can identify component level faults and provide recommendations for new procedures
• Utilizes resources outside of the department as necessary Additional Projects
• Leads infrastructure project activities
• May recommend infrastructure projects

Qualifications

• 5+ years experience in a facilities engineering role in a critical environment like Data Center preferred
• Experience in Controls Engineering and BMS is preferred

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Additional job description

As a Data Center Technician, you will deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You will also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience with performing component-level repairs on IT equipment.
• Ability to lift/move equipment and exert yourself physically over extended periods of time.
• Ability to work non-standard hours, including working weekends, holidays and on shift-based schedule as required.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge of networking, including topology and protocol.
• Excellent people and communication skills.

about company

I am currently working with a listed Singapore food and beverage company.

Salary structure: Base + AWS. Office at Tuas. 8:30am to 6pm. 2-3 rounds of interview.

about job

• Design and develop machine learning (ML), deep learning (DL), and large language model (LLM) solutions.

• Evaluate and implement appropriate ML/DL/LLM algorithms.

• Transform data science prototypes into production-ready solutions.

• Identify and engineer relevant data sets and features.

• Perform statistical analysis and fine-tune models.

• Train and retrain models as necessary.

• Extend and reuse existing ML libraries and frameworks.

• Engage in data engineering, data visualization, and workflow automation.

skills and requirements

• BSc in Computer Science, Statistics, Mathematics, or a related field.

• Min 3 years of relevant experience in machine learning, AI, and BI domains.

• Proficiency in AI programming, ML/DL/LLM modeling, and statistical methods.

• Strong working knowledge of Python/R, SQL, Big Data, and cloud computing technologies.

• Experience with microservices, containers, API development, and middleware for data extraction

• Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, and Keras.

• Technical skills in BI platforms, Big Data platforms like Hadoop/Spark, and NoSQL databases.

• Experience with BI visualization tools like Power BI.

• Understanding of business requirements and a drive to achieve practical outcomes.

• Knowledge of AutoML, Power Automate, Azure Fabric, and OneLake is a plus.

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Our client

5 days, Permanent, Eunos

MNC for maintaining data center

Job Scope

· To Work with data centre service provider

· To be responsible for (critical facility operation)

· To manage the (preventative maintenance.) on critical systems, responding the emergent failure and tracking

· To be in charge capacity management) of facility systems including (power and cooling), etc.

· .

· projects management for improving the capacity, efficiency and reliability of current facility system.

· Supporting IT manager (IT) n new site team on their project and operations.

Requirement

· Bachelor’s degree in engineering of electrical, mech or related field.

· 6 years facility management experience in large building. OR

· 5 years of critical facility management in data centre or

· 5 years’ experience and knowledge of MEP equipment such as (UPS, generator, Chiller, Pump, cooling tower), etc.

· Bilingual

please email your resume to [email protected]

we regret that only shortlisted candidate will be notified

Responsibilities:

• Govern internal processes to ensure compliance with established security protocols and audit

requirements.

• Assist in managing user access to the AI and data model, ensuring appropriate permissions are

granted and maintained.

• Conduct regular audits of user access and governance processes, identifying and addressing any

discrepancies or issues.

• Work closely with internal team, IT, and business teams to ensure AI and data models are compliant

with governance policies.

• Support the documentation, tracking, and monitoring of AI and data models.

• Assist in the development of training programs and resources to raise awareness of AI and data

governance practices within the organization.

• Stay updated on global trends in AI governance, data protection laws, and best practices, providing

insights to the team.

• Help prepare reports and presentations on AI and data governance metrics and improvements.

Requirements:

• Diploma in AI Governance, Data Science, Information Technology, Law, Ethics, or a related field.

• Basic understanding of AI technologies, data governance, and compliance frameworks.

• Strong analytical and problem-solving skills with attention to detail.

• Good communication skills, with the ability to collaborate effectively across teams.

• Ability to learn quickly and adapt in a fast-paced environment.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Justine @ 9755 9161

Shortlisted candidates will be notified

Justine Lam Nyok Yuen

Reg No. R1218722

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

Job Description:

• Oversee the quality of ratings from external vendors and ensure accurate assessment of Hindi content in relevance to media.
• Generate detailed reports that analyze issues, patterns, and trends specific to Hindi media content.
• Use data analysis tools (SQL, Python, Tableau) to identify insights and uncover relevance issues within query logs and metrics.
• Collaborate closely with statisticians, engineers, and data scientists to evaluate and refine search algorithms.

Requirements:

• BA/BS or equivalent industry experience in Business Administration, Business Analytics, or relevant.
• Experience data analysis tools such as SQL, Python, Tableau.
• Familiar with search and recommendations engines.
• Experience analyzing large data sets and generating reports.
• Able to read and write in Hindi (min. B3 in 'O' level Hindi or equivalent certifications) to read, analyze and write content in Hindi.
• Good knowledge of India media such as music and movie industries is required to support the India market.
• Excellent analytical and problem-solving skills.
• Ability to work effectively with teams on multiple projects under tight deadlines.
• Willingness to be proactive in bringing new, innovative ideas to the table.

This role offers the opportunity to work on cutting-edge ML technologies and contribute to transformative business solutions in a dynamic and collaborative environment.

Job Responsibilities:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• Min. Bachelor degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 4 years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.
• Excellent communication skills to articulate technical concepts to diverse stakeholders.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

About the Role

We are seeking a detail-oriented and motivated Junior Data Analyst to join our team. The ideal candidate will play a crucial role in analyzing data, generating insights, and providing support for data-driven decision-making. A strong proficiency in Microsoft Excel and the ability to create and maintain macros is essential for this position.

Key Responsibilities

• Collect, clean, and organize data from various sources to support business analysis.
• Perform data analysis to identify trends, patterns, and insights.
• Conduct periodic portfolio reviews for current and future projects and develop strategies to optimize resource allocation based on resource availability and prioritized projects.
• Conduct periodic portfolio reviews for current and future projects, apply industry best practices to improve processes and performance tracking within the project portfolio.
• Develop and maintain complex Excel spreadsheets, including the creation and optimization of macros for automation.
• Generate reports and dashboards to present findings and recommendations to stakeholders.
• Identify and escalate risks in a timely manner, develop mitigation strategies and conduct cost-benefit analysis to inform business decision-making.
• Oversee the production of portfolio management and governance documents (e.g. project charter).
• Collaborate with team members (project owners, business leaders and cross-functional teams) to understand data requirements, address challenges and drive consensus on priority projects.
• Ensure data accuracy and integrity through regular audits and validation processes.
• Assist in ad hoc analysis and reporting tasks as needed.

Requirements

• Bachelor’s degree in a relevant field such as Statistics, Mathematics, Computer Science, Business Administration or related disciplines.
• Proficiency in Microsoft Excel, including advanced functions, pivot tables, and macros.
• Proficiency in Smartsheet software.
• Strong analytical and problem-solving skills with attention to detail.
• Prior experience in managing operations or overseeing project and portfolio lifecycles in the tech industry is a plus.
• Basic understanding of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication skills and ability to present data insights clearly.
• Interest to learn and engage in business support related work.
• Meticulous, good with numbers, and well-organized individual.
• Be dynamic, highly motivated, self-driven in working.
• Excellent interpersonal and communication skills. Candidate must demonstrate strong communication and interpersonal skills.
• Good command of Mandarin to speak with our Chinese-speaking associates in China.

Job Purpose

• Owns the technology relationships up to CxO level & supports technology thought leadership.
• Being a member of the Architecture Committee in ONE to facilitate AC meetings with internal and external technical stakeholders and SMEs.
• Continuously improve the architecture of Data Analytics Platform for a global ocean shipping company.
• Drives research, case studies, and prototypes on leading-edge technologies and how they can be leveraged.
• Develops proof of concepts (POC’s) to evaluate new technologies and makes recommendations.
• Develops, enhances and enforces ONE system standards, best practices and guidelines.
• Designs and/or Proposes enhancements to improve the performance, availability and reliability of the cloud computing environment for Data Analytics Platform.
• Continuously monitor and improve Data Governance Process.
• Also improve the quality of the Data Analytics service from business users’ perspective.
• Any other ad hoc duties that is assigned by superivors

Primary Job Description

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Qualifications and Experiences

Experience Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Job Scope:

• Responsible for development of ETL using Oracle Data Integrator (ODI) and setup of processing structures in order to facilitate periodic data loads or creation of batches for transmission to other applications.
• Responsible for supporting the ODI processes that continuously collect data from multiple upstream applications, and subsequent integration of data repository.
• Responsible for optimizing, tuning, performance improvement to support near real-time data processing.
• Responsible for implementing data validation based on business requirements.
• Work collaboratively as part of the team responsible for the data collection applications to design develop, and support the end-to-end processes, taking the lead on strategy and design of all ETL processes.
• Provide highly responsive analysis of issues to diagnose and resolve with sense of urgency.

Job Qualifications:

• Degree in Computer Science or equivalent.
• At least 3 years of Oracle Data Integrator (ODI) experience is a must. ODI expertise in Topology, Knowledge Modules, Change Data Capture and Metadata Management.
• Knowledge of data modeling concepts.
• Experience in developing complex ODI processes and complex PL/SQL code is a must.
• Skills in Oracle ODI (Data Integration) 12c, SQL/PL-SQL tuning and performance improvement, UNIX scripting, Automic or any scheduling software.
• Must have ODI experience in a data migration / data transformation environment.
• Must have extensive and recent ODI design and development experience.
• Experience of working as a Consultant on large scale projects.

Interested candidates can click apply for more information.

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

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- 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.

Job Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development
• Overseas process development support for short term assignments

Job Requirements:

• Masters or PhD in relevant field, Computer Science, Data Science or Statistics Applied Sciences
• Programming skills : Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lee Jun Siong (Johnson)

EA Personnel Reg No: R24120242

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

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

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

Key Responsibilities:

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

Qualifications:

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

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