Total 3,967 data entry job vacancies in Information Technology category in Singapore

We are looking for careful and meticulous individuals to do live data testing on the forex markets.

This is a work-from-home position. Full training will be provided.

No prior experience required, although familiarity in TradingView will be an advantage.

PLEASE NOTE: This full-time engagement is on a freelance, contract basis. Pay will be based on an hourly rate.

Job Requirements:

• Careful and meticulous
• Able to work independently
• Disciplined, adhere to start time punctually
• 8 hours of work per day
• Able to follow detailed instructions accurately
• Familiar with Google Docs and Sheets
• Good at maintaining detailed records

Benefits:

• Fully work from home (after completing initial training phase)
• No requirement to travel to office
• Monday to Friday only
• No overtime or weekend work required
• Bonus will be awarded for excellent work performance shown over a sustained period of time

Interested candidate, please attach your resumes.

Thank you.

Roles & Responsibilities

A) Periodic walk through; Validation of equipment status, amber lights check.

B) Decommissioned of hardware inventories end of life and SME directions.

C) Manual inspection of rack space under direction of SME.

D) Verify Rack location in the DC, Potential server deployment rebooting of equipment and power cycle under direction of SME.

E) Restart Hardware after failure under direction of SME.

F) Perform Schedule Start up and shutdown hardware components.

G) Connect cables from Rack to Server under direction of SME.

H) Configure the RIB/ILO even after reboot.

I) Perform Network troubleshooting.

J) Perform RAID- Related Maintenance\ troubleshooting after a drive replacement under direction of SME.

K) Transport failed disk drives to a secure storage area pending eradication and return to vendor.

L) Escort- SSBT Approved vendor in Data Centre.

M) CMDB- Validation of Assets tagging for Servers/ Serial number for the Assets Competency.

N) SH&E Engineer physically power cycle the server by using power button of the server, under the direction of SME.

O) SH&E engineer responsible for Installation and decommissioning of Servers from Rack, Rail and Cage under direction of SME.

P) SH&E engineer accountable for Inform, Responsible and coordinate with other team members under direction of SME.

Job Description

· At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.

· Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.

· Good knowledge and experience in programming languages such as Python, Java, SQL etc.

· Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.

· Good at working with details and is meticulous for operations.

· Able to design and implement solution, and perform code review.

· Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

· Excellent written and verbal communication skills.

· Strong interpersonal skills and able to interact with diverse stakeholders.

· Agile, fast learner and able to adapt to changes.

· Good team player, with strong analytical skills and enjoy complex problem solving

About the job

The candidate with coding, and development knowledge will help Durapower to fully recognize Digital value and help them substantially create more business value and most importantly contribute to the shared vision of Durapower.

Where you fit

Durapower has been pioneering in electric cell manufacturing for over 12 years and has seen the landscape develop from early adopters into the early majority. Today they are working together with other leaders in the industry to shape the future of e-mobility and stationary storage of lithium-ion batteries. It has a presence across 21 markets across the globe headquartered in Singapore. This role is key to the success of the group's shared vision to build a robust Digital capability centered around new energy innovation and cater to decarbonized energy demand for the future.

The Digital leadership team is part of Innovation CoE, and includes a dedicated implementation team to act as the bridge between product R&D, business, and external ecosystem

What’s the role?

• As a Battery Insights Date Scientist in Singapore, you will architect and maintain robust data systems. Collaborate with cross-functional teams to integrate diverse data sources, enabling accurate analysis of battery performance. Develop predictive models and work with data scientists to extract actionable insights, driving innovation in battery technology.
• Stay updated on industry trends to shape data initiatives and ensure our position at the forefront of the sector. Join us in this dynamic role, contributing to informed decision-making and continuous advancements in battery technology.

Key Expectation:

• Efficient Data Architecture: Design and maintain effective data pipelines and systems for seamless integration of diverse battery-related data sources, ensuring efficient and accurate representation.
• Collaborative Insight Generation: Collaborate with cross-functional teams, data scientists, and analysts to transform raw data into actionable insights, developing predictive models that contribute to strategic decision-making in the battery technology sector.
• Continuous Innovation: Stay abreast of industry trends and advancements, providing recommendations to shape data initiatives that keep our organization at the forefront of innovation in battery technology.

Key success measure for the role

• Data Accuracy and Integrity: Success in this role is measured by the accuracy and integrity of the data systems implemented, ensuring that insights derived from battery-related data are reliable and actionable.
• Innovation Impact: The role's success is also measured by the impact on innovation within the battery technology sector, including the development of predictive models and contributions to strategic decision-making that drive advancements in the field.

Core Responsibilities are as follows:

• Data Architecture: Design, build, and maintain robust data pipelines and systems to efficiently collect, store, and analyze diverse battery-related data.
• Integration and Collaboration: Collaborate with cross-functional teams to integrate data from various sources, ensuring a comprehensive and cohesive representation of battery performance metrics.
• Predictive Modeling: Develop and implement predictive models to extract meaningful insights, contributing to strategic decision-making in the battery technology sector.
• Data Analysis: Work closely with data scientists and analysts to identify patterns, trends, and anomalies in the data, translating raw information into actionable insights.
• Innovation and Trends Monitoring: Stay updated on industry trends and advancements, providing recommendations to shape data initiatives that keep the organization at the forefront of innovation in battery technology.

What We Need from You

• University or Master’s degree in Computer Science, Data Science, or a related field.
• Demonstrable experience as a Date Scientist, with a focus on designing and implementing data architectures and pipelines, particularly in the context of battery-related data
• Proficiency in data modeling and design, including SQL scripting and database administration
• Strong proficiency in relevant programming languages (e.g., Python, Java), data modeling, and database management systems. Experience with tools such as Apache Spark and familiarity with cloud platforms (e.g., AWS) is a plus.
• Experience in developing and implementing predictive models to extract insights from complex datasets, contributing to informed decision-making.
• Understanding of battery technology, energy storage systems, and a keen interest in staying abreast of industry trends and advancements
• Natural curiosity, creative and critical thinking with a learner mindset
• Effective communication skills to collaborate with cross-functional teams and convey insights to non-technical stakeholders are essential

ASM is a leading global supplier of products, services, and materials for semiconductor processing. For more than half a century, innovation has been at the core of everything we do. Our smart, ambitious people are dedicated to creating cutting-edge solutions for the world’s leading semiconductor providers. Every day we push the development of next-generation computer-chip technology, always staying a few steps ahead of what’s next.

The talented, enthusiastic people at ASM are just like you: dedicated to improving people’s lives and unlocking new potential. With our collaborative approach to R&D, we advance key semiconductor technologies and platforms like ALD, epitaxy, PEALD, PECVD, and vertical furnaces. And we have recently entered the promising high-growth market: silicon carbide epitaxy. Year after year, our innovations help to make chips smaller, faster, and more powerful. In fact, you will find our technology in every aspect of modern life: in AI, medical equipment, 5G, smartphones, autonomous driving, and more.

Position Summary

In support of ASM’s Data and Analytics growth journey , we are searching for a Data Analyst. This role in the Operations Data Analytics team is pivotal for Reporting , Analytics and Insights for the Global Operations Business functions encompassing Forecasting , Production Planning , Purchasing , Supply Chain , Logistics , Manufacturing , Operations Engineering Change Control and Quality.

As a Data Analyst you will work closely with Data Analysts and business stakeholders to provide Data Analysis , Reports , Insights and Solutions to Business problems.

The position will provide plethora of opportunities to apply Data Concepts to real world problems in Business Operations.

Primary Responsibilities

The responsibilities are grouped into two main areas:

• Development : To develop Microsoft Power BI Reports (Data Visualization Reports) for Global Operations Business Functions.
• Data Analysis : To understand business problem, identify data sources , extract data , analyze and publish results and presentations to the stakeholders.

Your role

• Design, build, test and maintain Microsoft Power BI Dashboards .
• Collaborate with data analyst and business stakeholders , to understand business problems and deliver data analysis , insights and recommendations.
• Collaborate with Technology IT teams - Business Intelligence , SAP Applications and Data Engineering teams for Power BI Dataflow creations.
• Suggest recommendations for Automating repetitive tasks using Microsoft Platforms Solutions/AI,
• Handle change requests and service requests
• Participate/Conceive in Big Data project/proof of concept using Azure Data Lake/Azure AI.

Education

• Bachelor/Master’s Degree/ in Data Analytics / Data Science / Artificial Intelligence/ Mathematics / Statistics / Computer Science/IT/ Engineering / Computing / Supply Chain or Operations Management / Operations Research or related STEM qualification

Experience

• Knowledge of Data Visualization Concepts and Tools eg. Microsoft Power BI
• Minimum 2 years work experience in Data Analytics field / Data Science / AI projects.
• Knowledge of Microsoft Excel and Programming Language (R/Python/SQL )
  Statistics
• Data Analytics Basic Concepts , Technologies and Solutioning
  AI basic knowledge / Algorithms functioning / Supply Chain / Manufacturing / Quality / Operations Engineering functional process knowledge
• Strong analytical , critical thinking , logical reasoning and problem framing and solving skills
• SAP R/3 or ERP techno-functional knowledge
• Data Analytics / AI / Technology certification
• Excellent Communication skills – Verbal and Written to communicate with global stakeholders

At ASM we are committed to supporting our people, enabling them to develop their talents and perform at their best. We actively promote an inclusive and diverse culture that fosters trust and transparency. Our people are our power, and we value the differences between everyone because it is what make us better as a team. By embracing a wide range of perspectives, we enable a culture of continuous exploration and adoption of new ideas. At every step, we know that it is our valued people who enable us to deliver excellent products and service to our clients – and to make a meaningful difference in society.

So join us on our journey and unleash the power of an open mind. Discover how you can be part of our exciting future and apply today! To learn more about ASM, find us at asm.com and on LinkedIn, Facebook, Instagram and YouTube.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn

• Strong support from management to invest in data
• Help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the company
Our Client is an established company within the financial services industry. With rapid expansion and technology investment plan, they are now looking for an Senior Data Engineer / Data Engineering to join their team. Your work will help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the job

Your role involves:

• Enhancing data integrity and establishing protocols for identifying anomalies within datasets
• Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
• Establishing and refining monitoring practices, frameworks, tools, and libraries, and advocating for their adoption across different teams within the organization.
• Streamlining operations through automation, driving enhancements to our systems by advocating for changes that bolster resilience and dependability.
• Develop and maintain ETL processes for ingesting data from various sources
• Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems

Skills and experience required

As a successful applicant, you will be familiar with programming languages such as Python, Java, or Scala. Proficiency in utilizing diverse data storage and manipulation tools, including SQL, Elasticsearch or Snowflake. Familiarity with containerization and orchestration technologies like Docker, Kubernetes and etc. Exposure to ETL is required for this role.

Candidates from financial services industry background will be highly preferred.

Whats on offer

This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn (EA: 94C3609/ R1219669)

Key Responsibilities:

• Design and deploy data center infrastructure, including power, cooling, cabling, and rack layouts.
• Install, configure, and maintain network devices and equipment, ensuring optimal performance and uptime.
• Monitor and troubleshoot data center infrastructure, including networking, power distribution, HVAC systems, and physical security.
• Conduct regular preventive maintenance activities to ensure the reliability and availability of data centers.
• Collaborate with vendors and service providers to evaluate and select appropriate equipment and solutions for data center needs.
• Manage network capacity and bandwidth planning to meet current and future requirements.
• Implement and enforce security measures to protect data center assets and ensure compliance with industry standards.
• Participate in incident response activities and assist in resolving data center-related issues promptly.
• Document network and data center configurations, processes, and procedures.
• Stay up-to-date with industry trends, emerging technologies, and best practices related to data center engineering.

Requirements:

• Diploma, Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Network Engineer, Data Center Engineer, or related role.
• In-depth knowledge of data center infrastructure, including power distribution, cooling systems, and network architecture.
• Hands-on experience with network devices (routers, switches, firewalls) and protocols (TCP/IP, VLANs, BGP, etc.).
• Familiarity with data center management tools and monitoring systems.
• Strong problem-solving skills and the ability to troubleshoot complex technical issues.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Detail-oriented with strong organizational and documentation skills.
• Certifications such as Cisco Certified Network Professional (CCNP) or Data Center Networking Infrastructure Specialist (DCNI) are a plus.
• Knowledge of cloud computing, virtualization technologies, and software-defined networking is desirable.

As an IDC Engineer, you will play a crucial role in ensuring the smooth and reliable operations of data centers, supporting the growing demands of digital infrastructure. Your technical expertise and attention to detail will be essential in maintaining high-performance networks and infrastructure.

Be a part of something BIG!

• To lead a team to be the customer facing unit for all operations related matters pertaining to customers’ needs and requirements in their respective DC halls.
• To provide and to ensure a high level of customer experience, providing full end to end operational support services to customers
• To ensure a well-run operations team to ensure optimal customer experience and to meet all SLGs.
• To ensure all equipment and buildings are optimally maintained
• To take charge and manage allocated expenditures (OPEX and CAPEX) are well within allocation for implementation across all Singtel DC.
• To lead, motivated and to ensure all DC staff are well trained.
• To engage customers and various institutions where necessary to resolve issues where applicable.
• To support the Operations Team in the various Singtel’s DCs on a 24x7 basis.

Responsibilities:

• Lead a team to be the customer facing unit for all operations related matters pertaining to customers’ needs and requirements in their respective DC halls.
• Provide and to ensure a high level of customer experience, providing full end to end operational support services to customers pertaining to the customers DC hall, from customer reports to customer fit outs requirements.
• Manage the department by providing leadership, coaching, training, and mentorship and overall development of the employees.
• To ensure all equipment and buildings are optimally maintained
• Manage resources in manpower, capital and operating expenses within the team. Ensure resources are leveraged at the most optimum, efficient and cost-effective manner.
• Strategize and lead the department towards optimisation and digitalization and to deploy data analytical to improve the DCs resiliencies and efficiencies.
• To develop and integrate the existing Building Management System (BMS) and Environmental Monitoring System (EMS) as well as to introduce IOT sensors for Artificial Intelligence and to collect data for Machine Learning implementation to improve the performance of the DC
• To review and reform the existing DC network and IT system to ensure ability to meet all DC audit requirements as well as cyber security.
• To ensure all processes are well documented and updated regularly.
• To ensure all procurement processes are followed.
• Update management on overall performance status and activities for the department
• To support the operations team that is running on a 24X7 basis to meet all operational needs

Requirements:

• Degree in IT Network, Mechanical, Electrical, Building Services, Facilities Management or related disciplines
• More than 15 Years of Experience in Mission Critical Facilities

Data & Marketing Executive

Location: 10 Kallang Avenue

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3000 - $3500

Requirement

• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.
• Minimum Bachelor's Degree in any field

Job Scope

Job Summary

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Company’s own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all BtoB marketing initiatives

If Interest please kindly click on the Apply button

Ong Choon Kiat (James) | Reg No: R22104989

The Supreme HR Advisory Pte Ltd | EA No: 14C7279

Responsibilities:

• Gather and analyze user requirements and translate them to business solutions
• Design, write and implement efficient code to preprocess data, train, evaluate, test and deploy models
• Plan, manage and lead data science projects
• Develop machine learning and deep learning models for production level
• Improve and manage existing models and systems
• Guide the internal team on technical details and project development
• Present insightful data outcomes to project stakeholders

Requirements:

• Bachelor’s Degree in Computer Science, Science/Engineering field or equivalent
• At least 2 years’ experience in Data Science related function
• Proficient in Python programming and common libraries for data analytics, machine learning and deep learning (pandas, numpy, scikit learn, keras etc)
• Good understanding of machine learning/deep learning algorithms and their applications
• Knowledge in use of SQL and/or noSQL databases (postgres, oracle, MongoDB etc.)
• Familiarity with implementing models at production level
• Experience with data visualization tools such as Power BI, Tableau
• Hands-on practical experience on other data science development in languages such as R, Java, C++, etc
• Experienced in manufacturing industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 23985

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Key Accountabilities/Duties

(1) To provide agency with Data Center Operations function to assist agency in managing the day-to-day data center operations activities which covers the areas such as :

• 24 hours x7 days data center operations activities stand by support and 9x5 remote sites computer room operations.
• To provide escort services for work in the remote sites computer room.
• To escort vendors and also ensuring only authorized IT staffs are able to enter the HQ data center.
• Maintain the data center access log and provide monthly report to HSA.
• Manage the day-to-day backup tape management activities and work closely with the facilities management team for backup and restore requirements.
• Report daily/weekly/monthly backup status to the agency.
• Co-ordinate with Build facility management for patching of cables, power, air-con, electrical related matters.
• To assist in data center audit activities.
• To manage the environment and equipment monitoring that is in the data center.
• To manage the physical security.
• To manage and perform capacity planning.
• To manage the equipment servicing and contract management

(2) Scope of Works

• To ensure the DC and equipment are in functioning and operational condition, report if there is equipment fault.
• To assist to perform site preparations and liaise with the relevant vendors on tasks such as IT rack mount plan, structure network cabling system, power supply and electrical wiring, airconditioning, UPS and etc when required.
• To plan, coordinate and execute any shutdown and power up machines (according to operation manual and SOP) when required by the Customer, to facilitate the activities related to electricity, power maintenance and enhancements. The service shall include polling the possible affected parties, obtaining the approval from the Customer’s Representative and sending out the broadcast messages.
• To ensure that all trouble-shooting, upgrade, maintenance work and any other activities that affect data center availability must be carried out after operating hours and/or over the weekend at no additional cost to the Customer. All urgent faulty parts replacement of the equipment shall seek approval from the Customer’s Representative. The list of warranty and/or maintenance contract and documentation is covered under Server Management Services.
• To ensure all technical and operational issues, that will affect the daily operations of data center, be resolved within the stipulated Service Levels.
• To advise and propose improvements to the current processes or procedures for better efficiency and to improve the security of the data center. However, such proposals shall be subjected to the review and approval of the Customer.
• To monitor the environmental equipment in the Data Centre to ensure that they are within acceptable operating level and take corrective actions to rectify any defects affecting the following:

a) Main and Backup Incoming Power Supply

b) Uninterruptible Power Supply (UPS)

c) Cooling System (Air-conditioning) and Leakage Detection

d) Temperature and Humidity

e) Rack Space

f) Network Data/ Telecom Cabling

g) Fire Protection and Fire Alarm System Status

h) CCTV and Motion Detectors

i) Cleanliness and Tidiness

j) Equipment Movements and Storage Management

k) Secure Disposal of Media and Documentation

• To take pre-emptive measures to prevent any outage or single point of failure in the Data Centre due to environmental factors. This shall include monitoring of environmental equipment and follow-up with the Customer’s sub-contractors or building management to ensure that defects are identified and corrected.
• To ensure that all equipment in the Data Centre is serviced in accordance with the equipment servicing schedule.
• To provide 1st level onsite problem identification, problem reporting and vendor support after operating hours at no additional cost to the Customer in the event that any environment element fault alert is triggered after the operating hours.
• To liaise with the Customer’s Building Management Unit (BMU) at the Customer’s sub-contractors for the maintenance and servicing of the equipment in the Data Centre:

a) Power Supply

b) UPS

Requirements

• Work on 12-hour shifts to provide 24x7 operations support.
• Recognized Diploma in Electrical / Electronic / Computer Engineering / Information Systems.
• At least 3 years’ experience in Data Center Operations.
• Basic knowledge of following:

-Windows Server 2003/2008/2012 operating system.

- Unix and Linux operating system.

- Virtualization technologies (i.e. Vmware ESXi, Microsoft HyperV).

- Network infrastructure.

- ITSM tools for incident management and service request management.

• Preferred certifications include ITIL v3 Foundation, Certified Data Centre Facilities Operations Management (CDFOM).
• Preferred knowledge in SS564 Singapore Standard for Green Data Centre.
• Possess excellent oral and written communication skills.
• Good customer service aptitude, and strong work ethic.
• Self-driven and able to work independently as well as in a team

Our client, financial institution with large Data team in Singapore is looking to hire Collibra Data Quality (CDQ) Specialist (expert in establishing DQ rules/writing SQL queries in CDQ)

Scope of work:

• Identification of Data Quality rules required from the business – hands-on and able to hit the ground running
• Configuration of DQ rules in CDQ – working with a Collibra Solution Architect and the business.
• Implementation of CDQ

Experience required:

• Extensive experience working with Data Quality
• Good experience in data modelling, metadata, data governance
• Excellent Comms - critical to be able to explain the methodical approach to creating a complex rule in CDQ and explain the issue resolution process.
• Carrying out testing to ensure quality of data

Interested candidates please email your latest resume to [email protected]

Data Scientist is responsible to gather and scrutinise data using specialist tools to generate information that helps others make decisions, by responding to questions about data and look for trends, patterns and anomalies within it.

Job Responsibilities:

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Create predictive, prescriptive and/or explanatory models
• Generate actionable insights for business improvements
• Research and understand the latest technologies to define new process improvement opportunities

Job Requirements:

• Master's degree in Computer Science/ Information Technology or equivalent
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Proficient in a programming language (Python, Java, SQL)
• Experience/Knowledge in Operation Research (OR) is would be an advantage
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Additional experience in data visualization and/or knowledge of reinforcement learning is a plus

Overview

As part of Pfizer's Marketing Transformation initiative, Publicis has created a bespoke global operation within the Publicis Groupe network with the single-minded mission to accelerate Pfizer's goal of revolutionizing how Pharma connects and engages with Healthcare Professionals, patients, caregivers, payers and consumers - with an ambition of being viewed as a global marketing leader, not just in pharma.

Publicis Groupe is creating Integrated Agency Teams (IATs) - across brands and geographies - by drawing from the best talent across the Groupe to deliver cutting-edge expertise and diverse skills, acting as one integrated, end-to-end operational model to serve advertising, marketing production, digital experience, media/omnichannel engagement, data Intelligence, analytics, web, and social commerce - all supported by the scientific rigor pharma needs to deliver personalization at scale in a compliant manner.

Pfizer is pioneering the marketing model of the future, and Publicis Groupe recognizes that our success is intertwined with the success of Pfizer's transformation and the growth of their brands.

Opportunity

The IAT Data Lead for Asia plays a critical role in helping lead the marketing transformation initiative within Pfizer. This individual understands that marketing today, is largely driven by technology and data. And in healthcare, providers and patients are relying on technology more than ever, which allows new and different connection points for businesses; The best marketing is high-touch and high-tech.

The IAT Data lead will design Pfizer’s data strategy and deliver innovate new ways to connect with patients and healthcare providers across Southeast Asia and India.

Key Responsibilities

· Collaborates effectively with both client and internal teams across Southeast Asia and India to identify specific client needs, business outcomes, and priorities that can be achieved or supported by data-driven marketing products and services developed by the data, tech and tools team.

· Converts the desired business outcomes and priorities into high potential use cases for increased data maturity, crafting client-facing proposals for use case implementation, including scope, feasibility, dependencies, and roadmaps.

· Operates as a 'data translator' - liaising with non-data experts in the wider teams to connect their priority outcomes to the art of the possible, in a way that enables client understanding of the value add from data, tech and tools.

· Develops an expert understanding of the current and potential future state of client's data, tech & tools landscape, to understand both opportunity areas and obstacles that need to be overcome.

· Incorporates outcomes from ex-Asia data, tech and tools market readiness assessments (that give a snapshot of current 1st and zero party data maturity, availability, and connections to 2nd and 3rd party sources, martech setup, audience segmentation, channel preferences, and local pharmaceutical market regulations) into locally relevant use case definition to maximize feasibility and scaling across the region.

· Adopts a cross-functional approach to data strategy that considers the omnichannel customer journey, experience mapping, and optimization, the role of paid, earned and owned media insights in developing customer understanding and segmentation, strategies for capture and enrichment of customer data, taxonomy strategy, and developing marketing effectiveness frameworks that link marketing activity to commercial outcomes.

Skills & Experience

· Must Have

o 10+ years working in a data strategy capacity or similar field where data-driven decision-making is core to the role.

o Demonstrable experience of turning analysis and observations into actionable insights that deliver value to the business, especially in the areas of audience targeting, message sequencing, communication effectiveness, brand and campaign measurement plans, and real-time campaign optimizations.

o Ability to explain technical concepts to a non-technical audience, to simplify complexity, and to explain insights in a broader strategic context.

o Experience in planning and delivering data-driven strategies and understanding how they will affect the client's business.

o Awareness and knowledge of the evolving martech landscape for analytics, CRM, personalization, and media, including understanding of the relative pros & cons of solutions from different providers.

o Ability to lead data partnerships with media & data vendors that are critical to driving business growth, particularly in emerging markets where digital roadmaps are still in infancy stage.

o Skilled in cross-team collaboration with multiple internal and client-facing departments, leveraging cultural fluency to connect with Southeast Asia and India-based and ex-Asia stakeholders.

· Good-to-have:

o Experience within a pharmaceutical marketing discipline & familiarity with the pharma regulatory environment in Southeast Asia and India.

o Experience using Tableau or Microsoft Power BI to visualize data insights in a clear and actionable way.

o Experience using JIRA & Confluence (or similar tools) for project management and collaboration.

Permanent, 5 days, Eunos

Our client:

A reputable M & E infrastructure company that design, build n maintain data Centres n company server room

Job scope

Building M&E infrastructure Technical n operation

· Able to troubleshoot and carry out repair work for M&E Infrastructures services in Data Center

· Manage Technical Operation Team’s day-to-day operations (Exp: repair work, routine servicing, maintenance & T&C processes)

· To liase with n manage customer’s expectation

Department budget

· Manage department resources to ensure continuous smooth operations

· Manpower management

· Monitor and conduct review on department manpower competency level

• Ensure continuous training/improvement plan is in place across the technical team

Quality control

· Conduct quality checks on works completed

· Ensure regular review of equipment refresh for customers

Safety:

· Ensure compliance with Health, Safety, Environmental and Assurance regulations

Requirements

· Min Diploma in Mechanical & Electrical or relevant discipline

· 5 years of relevant working experience with at least 2 years in managerial position

· M&E technical knowledge or operation or both

· Fire Safety Manager certified

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Who we are

Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.

Our Singapore center (“ISAP” or “Information Systems Asia Pacific”) is the second largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwidebusiness. We work daily with international branches located in 30 markets by:

· Envisioning and preparing the Bank’s futures information systems

· Partnering and supporting core banking flagships and transverse areas in their large scale development projects

· Providing premium In-house Banking applications

This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market.

We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.

Our organization

Within the IT & Operations division, the department Digital Excellence Center (DEC) in Singapore is strong of 150 staff. Our center of excellence have established a recognized expertise on process digitalization and data analytics while our expertise on artificial intelligence is growing.

Every day, we work jointly with domain IT teams or directly with business stakeholders on digitalization of their processes and leveraging on their data while, in the background, we design, build and frame the next generation of shared services.

We strive at organizing ourselves as agile units that leverage on sound expertise and reusable assets for addressing needs of our internal partners effectively.

We value teamwork, collaboration across the board and partnership with our business - we measure our successes through the successes of our clients.

Context

Credit Agricole CIB is engaged in a major digital transformation of its Business and Operations. We believe having a strong data governance, data quality and data lineage in our value chains with other major disruptive technological evolutions.

Over the past years, we groomed our skills, expertise and experience at building effective Data Analytics solutions. We want to sustain and improve them with data management practices.

Role & Profile

In a challenging and multicultural environment, we seek a motivated and skilled Senior Data Engineer to join our Data Analytics team. Data Analytics team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance, etc). Data Analytics team deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.

This position requires a candidate with,

§ at least a bachelor degree in computer studies

§ minimum 8 years of experience in Data Engineering role with financing industry, ideally in a banking environment

§ at least 5 years of development experience with using Microsoft Business Intelligencestack covering

o Tabular Analysis Service

o Data warehousing

o Performance tuning

o Data transformations and quality checks

o Power BI dashboarding and reporting

§ good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps

§ ability to design and present technical solutions to architects and to team

§ proactive and problem solving attitude with ability to anticipate risks.

§ strong communication (written and verbal) and organizational skills

Key job responsibilities

You report to Data Analytics team head of DEC.

Role of Data Engineer encompasses:

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

- Visualize, interpret, and report data findings and may create dynamic data reports as well.

- Maintain existing BI solutions / ETL pipelines and propose continuous improvements

- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution

- Ability to design appropriate solution in compliant to CACIB standards

- Develops detailed technical work plans, estimates, improvement plans and status reports

- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs

- Ensure the respect of CACIB code of conduct and compliance rules within the team

- Contribute to initiatives managed at department level (continuous improvement, innovation…)

Preferred (additional skills preferred, but not mandatory)

- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.

- experience on test driven development

- experience with Data Visualization tools

We are seeking a detail-oriented Temporary Administrative Assistant/Data Entry Assistant to support operations with various administrative tasks. The ideal candidate will be proficient in data entry, have experience with SharePoint organization, and possess a familiarity with Microsoft Office applications.

HERE’S A TASTE OF WHAT YOU’LL BE DOING:

1. Perform accurate and timely data entry tasks to ensure the integrity of organizational records.
2. Organize and maintain SharePoint sites, ensuring documents and information are appropriately categorized and easily accessible.
3. Assist in general administrative duties, including but not limited to filing, photocopying, and managing correspondence.
4. Collaborate with team members to ensure effective communication and coordination of administrative tasks.
5. Utilize Microsoft Office applications (Word, Excel, PowerPoint, Outlook) to create and edit documents.

YOUR RECIPE FOR SUCCESS:

1. Proven experience in data entry and general administrative tasks.
2. Familiarity with SharePoint organization and document management.
3. Proficiency in Microsoft Office applications.
4. Strong attention to detail and accuracy in completing tasks.
5. Excellent organizational and time-management skills.
6. Effective communication and interpersonal skills.
7. Ability to work independently and collaboratively in a team-oriented environment.
8. Reliable and punctual with a strong work ethic.

Duration: This is a temporary position with an expected duration of 3 months.

We are seeking a dynamic and experienced Technology, Data & Analytics Manager to lead our organization's technological endeavours and drive data-driven decision-making. In this pivotal role, you will oversee a broad spectrum of responsibilities, ensuring the seamless operation and optimization of our systems. The ideal candidate will exhibit strong leadership skills, technical expertise, and a strategic mindset to contribute to our company's continued growth.

Systems Management: Be the Go-To Expert:

• Expert Leadership: Serve as the primary point of contact for all matters related to systems, offering expertise and solutions to address user concerns.

• Issue Resolution: Oversee and promptly address issues reported on various platforms, ensuring efficient problem resolution.

• Seamless Integration: Collaborate with vendors to address integration challenges, fostering seamless system operation and reliability across systems used in the company.

• Billing Management: Manage billings related to systems and address related inquiries.

Strategic Planning and Collaboration:

• Representation in Planning Cycles: Represent the company in planning cycles, actively contributing insights to improve systems and programming targets on the digital analytics platform.

• Stakeholder Collaboration: Collaborate with stakeholders to enhance systems processes, ensuring alignment with overall business objectives.

• Continuous Improvement: Constantly explore opportunities to enhance systems, explore new tools in the market focusing on improving the efficiency and experience of users.

• Training for Users: Provide technical training to a large audience from the user's perspective.

Data Analysis:

• In-Depth Performance Analysis: Analyse performance trends for sharing insights during company-wide meetings.

• Predictive Sales Analysis: Utilize predictive analysis techniques to forecast sales.

• Business Development Support through Data Analysis: Use data analysis to comprehend market trends and inform business development initiatives.

• Automate Reports with PowerBI: Conceptualize, run, and automate reports using PowerBI to provide valuable insights for strategic decision-making.

People Management:

• Mentor and Coach Data & Systems Team: Foster a collaborative environment, ensuring successful project execution, maintaining smooth systems operations, and Business As Usual (BAU), while tracking task progress, priorities, and ensuring successful completion.
• Team Oversight: Oversee the IT Service Management vendor team, ensuring operational excellence and coordination during major company events.
• Vendor Collaboration: Collaborate with vendors on maintenance, new products, and explore opportunities for system improvements.

Personal Requirements:

• Minimum 5 years experience.
• Technology-related degree.
• Can be adaptable in a multi-faceted role.
• Experience working in a small to medium-sized company is ideal.
• Experience mentoring a teammate.
• Excellent communication skills.

What is in it for you:

• Competitive Salary: SGD 4-6k
• Gym/Wellness Allowance
• Health/Dental Insurance
• Working for a company that is passionate about their employees' personal growth.

About EBC

Established in 2005 Ethos BeathChapman are a global executive search firm with a presence in Australia, Asia and EMEA and is part of the highly capitalised Will Group which is listed on the Tokyo stock exchange.

Passionate about staying innovative, we embrace progressive ways of working and new technologies, and adopt an agile mindset to deliver market leading executive recruitment solutions.

We provide solutions across Financial Services, Fintech & Technology, Legal, Commercial and Life Sciences - our vision is to connect the world’s exceptional companies to exceptional people.

Astek is offering a role of Mid - Senior Level Data Engineer to be based in Singapore.

Responsibilities:

• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.
• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.

Requirements:

• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.

Data & Marketing Executive

Location: Kallang

Working Day: 5 Days (Mon - Fri) Overtime is required.

Working Hour: 8.15am - 5.30pm

Salary : $3000 - $3500

Requirement

• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.
• Minimum Bachelor's Degree in any field

Job Summary

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Company’s own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all BtoB marketing initiatives

Lim Jun Yao

Reg No: R1989028

The Supreme HR Advisory Pte Ltd

EA No: 14C7279

Responsibilities:

• Work with cross-functional teams in BU to understand department / use- case specific/ individual data needs & requirements, and identify opportunities to use data analysis to develop new strategies or improve existing working ways
• Demonstrate understanding of the business to identify, analyze and interpret patterns or trends in data sets that help in improving business performance
• Import data from various external and internal sources to bring meaningful insights into the business
• Develop strong relationships with Global DnA office for collaborations on data engineering and implementing of existing ready data solutions
• Work independently to design & create effective data visualizations, dashboards & reports that supports business decisions making

Requirements:

• Academic degree in e.g. business informatics, econometrics, mathematics, IT or another data & analytics discipline.
• 3 to 5 years of relevant work experience
• Excellent stakeholder management & communication skills to convey complex concepts to both technical and non-technical stakeholders

Account Manager:

Kerwin Tan Kai Bin (R1331624)

[email protected]

EA16S8107

Key Responsibilities:

• Manage the day-to-day operations of the Internet Data Center (IDC) facility, ensuring smooth and efficient functioning.
• Coordinate with cross-functional teams, including IT, facilities, network operations, and security, to ensure optimal performance of the IDC.
• Implement and maintain effective procedures and policies for the IDC operations, including maintenance schedules, incident management, and disaster recovery plans.
• Monitor and manage the infrastructure systems, including power, cooling, networking, and security, to ensure high availability and reliability.
• Establish and maintain relationships with key vendors and service providers, ensuring timely resolution of issues and adherence to service level agreements.
• Develop and manage the IDC budget, including forecasting expenditures, monitoring costs, and achieving cost optimization without compromising service quality.
• Identify improvement opportunities and implement initiatives to enhance IDC operations, such as implementing automation, improving energy efficiency, or increasing scalability.
• Ensure compliance with industry best practices, local regulations, and security standards related to data center operations.
• Lead a team of IDC technicians and engineers, providing guidance, support, and training to ensure their professional growth and maintain a high-performance culture.
• Regularly monitor key performance indicators (KPIs) related to IDC operations, identify trends, and present reports to senior management as needed.

Requirements:

• Bachelor's degree in a relevant field, such as information technology, electrical engineering, or facilities management.
• Proven experience (5 years) in managing IDC operations, preferably in a large-scale data center or colocation facility.
• Strong knowledge of data center infrastructure systems, including power distribution, cooling, network infrastructure, and security systems.
• Familiarity with industry best practices, regulations, and standards related to data center operations, such as ISO 27001, Uptime Institute Tier Classification, and BICSI standards.
• Proficiency in using data center management tools, monitoring systems, and incident management platforms, such as DCIM (Data Center Infrastructure Management) and BMS (Building Management Systems).
• Excellent leadership and communication skills, with the ability to collaborate effectively with cross-functional teams and provide clear guidance to technicians and engineers.

about company

I am currently working with a leading provider of alternative investment solutions with over $60 billion of assets under management and over 600 employees worldwide.

Salary budget wide open! 5 days in office. 4-5 rounds of interview to offer stage.

about job

• Taking responsibility for data quality, monitoring, and anomaly detection

• Digging into and exploring data; identifying features and issues; and communicating them to others clearly and concisely

• Standardisation and development of monitoring methodologies, systems, tools and libraries, and promoting those standards to other teams across the firm

• Automating and improving processes; owning and evolving our systems through pushing for changes that improve resilience andreliability

• Broad technical knowledge, particularly with respect to the processing and exploration

of data and an affinity for learning about newtechnologies.

• Passion for automation and continual improvement, with a track record of identifying high value automation opportunities

skills and requirements

● Bachelor's in Computer Science, Robotics, Electrical Engineering, or a related field

● Experience with coding in Python/C#/Scala/Java/Go or equivalent.

● Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake.

● Experience with containerisation and orchestration technologies like Docker/Kubernetes/Helm/Flux.

● Experience with various ETL/ELT technologies such as Airflow/Argo/Dagster/Spark/Hive

● Prefer candidates from similar industry; asset management, hedge fund, investment banking, FAANG, etc

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

This is a 12 months contract assigned to our client

Work Location: To be confirmed

Salary Range : $6,000-$7,300

Job Description

1. 5 Years experience Java (Core & Enterprise)

2. Java Application Servers (Tomcat & WebLogic) .NET

3. Well versed Spring, Struts, Sprint Boot framework Hibernate, MyBatis-Plus JPA, REST web services

4. Well versed in Windows, Linux and/or Unix scripting Azure integration IIS Oracle database

(Core DB &PL/SQL), MSSQL

5. Good grasp on security fundamentals/PKI

6. Good knowledge of network fundamentals and issue investigation Apache Shiro, MapStruct,

Ant Design Vue

Scope of work:

1. Development SIT/UAT support

2. Implement micro services and enhancements

3. Production support, bug fixes, and enhancements

4. Support application minor/major upgrade

5. Hardware refresh including sanity test and regression test from system patching and minor/major

upgrade

about the company:
Our client is a global Private Bank, with a strong presence across APAC, Europe and America.

about the job:

• Write production code and develop applications/interfaces for Trading Analytics.
• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data flows, and highly automated data cleansing.
• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.
• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.
• Provide support regarding Data Analytics platform and software.
• Automate, monitor, and improve performance of quantitative models.
• Interact with stakeholders and external vendors to optimize data and software infrastructure.
• Assist Product owner with technical questions, creating reports and implementation roadmaps, technology assessment and decisions.
• Work and collaborate with stakeholders in an Agile-based approach.

skills and experience required:

• Master or PhD in Information Technology, Computer Science, Engineering, or alike.
• 7+ years of work experience as a Developer/Software Architect. Experience in implementing financial software is a plus.
• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data flows, and Data transformations.
• Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus.
• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.
• Knowledge of Spark, Databricks, and Kafka.
• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.
• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.
• Knowledge of object-relational mapping and object-oriented databases.
• Experience with real-time analytics, OneTick and/or KDB+ is a plus.
• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.
• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.
• Collaborative, team player, open minded, and easy to work with.
• Proficient presentation skills and high attention to detail.
• Able to explain technical results to non-technical audiences.

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)