Total 558 data entry job vacancies in d19 serangoon garden hougang sengkang punggol

Responsibilities

• Relocate and replace parts for servers like mainboards, CPU and others
• Deliver IT parts to clients if needed
• Provide level 1 support for hardware and software installation, troubleshooting, and maintenance for internal teams.
• Performing & maintaining IT inventory list

Requirements

• Passion and high sense of responsibility for work.
• Possess Class 3 license
• Physcially fit (sometimes would need to relocate and replace server)
• Training will be provided

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

JOB DESCRIPTION

The candidate will have opportunities to work on exciting projects/deals in the fast-growing data centre industry, seeing through the entire project life cycle from inception to execution. He/she will be part of a team that works closely together to identify, source, negotiate and execute business opportunities in both new and existing markets.

As part of Keppel Group’s drive towards advancing sustainable development, the candidate will also have opportunities to be involved in the development and implementation of sustainable solutions in the data centre space.

This role will report to the Head of Business & Programme Development and is based in Singapore.

Job Description:

Drives data centre development projects in Singapore and overseas

Actively contribute and participate in driving/co-driving key strategic initiatives and in developing business or investment cases (including but not limited to new market entry, partnerships, decarbonisation/renewables etc)

Provide overall support for an innovative and sustainable data centre campus development in Singapore

Involve in sustainability efforts to decarbonize new and existing data centres, including working with renewable energy and low carbon energy providers

Support end-to-end investment process, including origination, deal evaluation, commercial viability, financial analysis and modelling, negotiations, due diligence, and execution

Conduct market research / scanning and be up to date with industry developments in key identified markets

Prepare briefing papers and presentations materials for management, potential partners and customers

Mentor and guide junior team members where necessary

Support ad-hoc initiatives as required

JOB REQUIREMENTS

Skills & Qualifications:

Bachelor’s degree in Business, Accounting, Economics, Corporate Finance, Real Estate, Environmental Engineering or equivalent

Minimum 8 to 12 years relevant working experience in business development, real estate, infrastructure, investment banking, renewables, or M&A. Experience in data centres or energy-related industries is a plus.

Good business acumen to be able to negotiate and structure deals. Demonstrated ability to engage senior stakeholders.

Able to work independently in a fast-paced environment, driving and executing initiatives under pressure and tight deadlines.

Ability to conduct financial, commercial and risk analyses of business opportunities.

Good communication and writing skills. Competent in MS Word, Excel and PowerPoint

Enthusiastic learner who is independent, self-motivated and proactive, yet also an effective team player

Willing to travel as required

Job Description:

Join our team to support the operations of the Healthcare Cluster Data Warehouses and Data Lake. The Data Analyst will play a crucial role in investigating and resolving issues within SLA, focusing on ETL processes and data visualization using Oracle Analytics Server.

Key Responsibilities:

· Log, track, and manage all support tickets in the ticketing system.

· Collaborate with institutions and application teams to gather relevant information for analysis and execute the resolution process, ensuring timely closure of tickets.

· Conduct monthly and ad-hoc service requests for all tickets raised.

· Participate in internal and management meetings with functional analysts, institutional stakeholders, and Chief Medical Information Officers (CMIOs) to provide updates and insights on ongoing issues and resolutions.

· Monitor application performance and identify areas for improvement.

· Perform validation of data warehouses after scheduled maintenance to ensure they are functioning correctly.

Requirements / Qualifications:

· Diploma or Bachelor’s degree in Computer Science, Information Technology, or a related technical/scientific discipline.

· 1-3 years of experience in data-related support roles, with a focus on ETL and data visualization.

· Familiarity with Oracle Analytics Server (OAS), Tableau, and Informatica PowerCenter is highly desirable.

Skills:

· Strong analytical and problem-solving abilities.

· Excellent communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders.

· Proven ability to work collaboratively in a team-oriented environment.

· Detail-oriented with exceptional organizational skills.

Director, Data & Technology, eDiscovery, Singapore

Ankura is a team of excellence founded on innovation and growth.

Our eDiscovery team sits within the Data & Technology practice which is one of seven practices focused on client delivery services across the Firm.

Practice Overview:

The eDiscovery practice is commonly engaged to assist financial investigations, litigations and disputes, turnaround and process improvement engagements, and other critical business issues. The eDiscovery team specialises in designing and implementing processes that help clients reduce their data and review volumes. Our professionals provide workflow design and strategy for keyword search, workflow assignment setup, content analytics, conceptual search/clustering, and predictive coding, and work with clients to efficiently extract and effectively analyse client data.

We help businesses, government entities and law firms to address their most complex and pressing concerns and make well informed decisions, using some of the most advanced technology, tools and techniques.

The team’s consulting experience involves large, diverse, and often incomplete data sets across client enterprises including email, servers, cloud storage, social media, mobile devices, instant messaging and collaboration tools. The team collaborates with cybersecurity, computer forensics, data analytics and investigatory experts to assess and respond to both the quantitative and qualitative aspects of problems.

Your role will involve working collaboratively with and learning from our diverse and knowledgeable team that has a wealth of experience in delivering excellent service to our clients.

Role Overview:

As Director, you will manage and project lead more junior members of the team to become familiar with the clients' big-picture objectives and challenges. You will ensure the execution of critical project deliverables to ensure these objectives are met on time and with the highest quality. You will be responsible for designing and executing efficient and innovative workflow solutions to address our client’s issues.

Responsibilities:

Your responsibilities will include, but will not be limited to, the following:

Business Development:

• Generate business development leads for Ankura’s eDiscovery | Data & Technology practice.
• Leverage existing relationships and develop new ones with legal practitioners from Law Firms and Corporations that have the potential to utilize Ankura’s eDiscovery and broader Data & Technology practice’s services.
• Educate clients and prospects regarding the full range of Ankura’s Data & Technology services via on-site client visits, conferences, events, etc.
• Increase revenue on current engagements by identifying opportunities to cross sell services offered by Data Analytics and Digital Solutions & Development teams.
• Develop and maintain an accurate list of prospects/clients as well as related pipeline and funnel activities on a regular basis within Ankura’s CRM database.
• Attend and participate in key industry conferences and Ankura-sponsored client events.
• Maintain appropriate post-sales/retention contact with clients to ensure quality assurance as well as solicitation of future business.

Collections/Pre-Processing:

• Assist clients with finding, documenting and preventing deletion of data potentially relevant to litigation, regulatory matters, or critical business operations.
• Develop solutions and strategies to collect data with special considerations for the unique environment and project specific complexities of an engagement.
• Coordinate forensic collections with client and Ankura’s forensics team and quality review collections documentation supplied by the forensics team.
• Create and recommend pre-processing strategy to client.
• Coordinate forensic pre-processing work (deNIST, file filters, etc.) with the Ankura’s forensics team, including documenting pre-processing workflow.

Processing:

• Advise client on data reduction strategies including deNISTing, file extension filtering, date culling, and search term filtering.
• Coordinate (provide instruction, obtain status reports, etc.) processing work with Ankura’s processing team.

Review:

• Assist clients with the selection of the appropriate technology to meet specific project objectives.
• Assist with development of efficient work streams, batching strategy, and technology configuration for 1st, 2nd, 3rd tier review; as well as witness review, exhibit designation, and trial preparation.
• Advise clients regarding the efficient use of concept clustering, near duplicate identification, e-mail threading, and assisted review (predictive coding) within the Relativity tool.

Production:

• Assist with written collateral to support production process, such as motions, orders, or proposals to courts and opposing counsel regarding the form of production.
• Provide proactive guidance regarding format, strategy, and timelines for production of electronic data.
• Work with client to develop production identification strategy.

Specific general managerial tasks include:

• Assist in the management of finances of each engagement including developing, documenting, and tracking project budgets, adjusting budgets as appropriate, communicating changes in budgets internally and to the client, and managing the revenue forecasting and invoicing process.
• Review and discuss expectations, anticipated scope of work, and project timeline with client and Ankura’s team
• Manage project close-out process including data return and database archival, ensuring that clients understand the implications of on-going data retention relative to their company’s policies.
• Provide clients and Managing Directors and Senior Managing Directors with periodic status updates, reports, etc. throughout the engagement.
• Generate consistent and thorough documentation to support processes executed throughout the project lifecycle. Specific tasks may include writing up interview notes and drafting emails, memorandum or reports that demonstrate specific processes followed.
• Mentor, lead, and delegate tasks to junior grade colleagues to support their training and professional development with the goal of creating an exciting leveraged, team environment that offers challenging opportunities and support to all employees and is poised for continued expansion and success.
• Assist in the recruiting process by screening resumes and interviewing candidates.
• Supervise personnel including Associates, Senior Associates, client personnel, clerical support, and others as appropriate.

Requirements:

• Minimum of a bachelor’s degree. Preferred degree in computer science, finance, accounting, economics, information technology, forensics, data analytics, or work experience in a related field.
• Possess strong quantitative and qualitative research and analytical skills.
• Familiar with the EDRM and experience in using eDiscovery products / tools:
• eDiscovery Review/Processing Platforms: Relativity, Brainspace, Disco, Catalyst, Zylab, Everlaw, CasePoint, Nuix, Law, Eclipse, or comparable.
• Forensic Software: EnCase, Cellebrite, Oxygen, BlackBag, FTK.
• Database/Programming: Microsoft SQL Server, SQL, Microsoft Access, Visual Basic, Python, R. With a strong preference for SQL and Python.
• Email Systems: Office 365, Microsoft Exchange, Lotus Notes/Domino, eVault, email archive platforms.
• System administration experience in Microsoft, Linux/Unix, or Macintosh;

Core consulting skills

• Hold strong team-oriented personality characteristics: hard-working, thoughtful, and collaborative, with a positive outlook and confidence.
• Experience of managing individuals or small teams.
• Highly motivated, eager to learn and able to motivate others.
• Ability to utilise technology to solve complex problems.
• Ability to demonstrate excellent communication (written and verbal) and organisational skills.
• Ability to adapt quickly in handling multiple/evolving tasks as a result of new engagements and/or re-prioritised deadlines.
• Ability to produce high quality and/or final work product under strict deadlines.
• Fluent in English and Mandarin is essential.
• Willing to travel nationally and internationally, which could involve a few weeks at a time as engagement duration can range from a week to months.

Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email [email protected] or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

The candidate is part of the Data Loss Prevention (DLP) project and operation team. He/she will be reporting to the DLP Team Lead and be assigned with project and operational work and responsibilities which includes but not limited to, processing requests, investigate operational issues and facilitate security investigation by providing the necessary information in accordance with approved policy and procedures as well as process improvement.

• Diploma/Degree in Computer Science, Engineering or equivalent
• At least 8 years of experience in IT Incident Management, Data Loss Prevention Operations or SOC
• Good team player as well as strong communications skills
• Strong analytical skills and ability to work independently

Job Title: Data Engineer

Location: Tai Seng, Singapore

Job Type: Full-Time

Overview:
We are looking for a fresh graduate (degree or diploma) Data Engineer to join our growing team. In this role, you will design, build, and maintain data pipelines and infrastructure to support the collection, storage, and analysis of large volumes of data. The ideal candidate will have studied data engineering, cloud technologies, and have knowledge at optimizing data systems for performance and scalability. This position plays an important supporting role to our engineering team.

Key Responsibilities:

1. Data Pipeline Development:
   • Design, construct, and maintain scalable data pipelines that facilitate the extraction, transformation, and loading (ETL) of data from multiple sources.
   • Optimize data pipelines to ensure high availability, performance, and data accuracy.
   • Automate data workflows to streamline data processes and reduce manual interventions.
2. Data Infrastructure Management:
   • Develop, implement, and manage large-scale data processing systems using modern cloud platforms (e.g., AWS, Azure, Google Cloud).
   • Design and implement scalable data storage solutions such as data lakes, data warehouses, and databases (e.g., Redshift, Snowflake, BigQuery).
   • Monitor data systems for performance and scalability, making necessary improvements to infrastructure.
3. Collaboration with Stakeholders:
   • Work closely with data analysts, data scientists, and business teams to understand data requirements and deliver solutions that meet their needs.
   • Collaborate with software engineers and IT teams to integrate data systems with existing applications and services.
   • Ensure data architecture is aligned with the overall business strategy and technical environment.
4. Data Governance and Security:
   • Ensure data quality and reliability by implementing data validation, cleansing, and integrity checks throughout the pipeline.
   • Enforce data security best practices, ensuring that sensitive data is appropriately protected and compliant with regulations.
   • Implement data governance policies to manage metadata, data lineage, and access controls.
5. Performance Optimization:
   • Analyze and optimize query performance on large datasets, ensuring fast data retrieval and minimizing costs.
   • Implement monitoring and logging to identify bottlenecks and optimize resource usage.
6. Continuous Improvement:
   • Stay current with emerging data engineering technologies and techniques to keep systems at the cutting edge.
   • Continuously explore new ways to improve data architectures, pipelines, and processes to enhance efficiency and scalability.

Qualifications:

• Fresh graduates with Bachelor’s degree or Diploma in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Proven experience as a Data Engineer or in a similar role, working with large-scale data systems.
• Strong proficiency in SQL, Python, or other programming languages used in data processing.
• Knowledge with cloud-based platforms and services (e.g., AWS, Azure, Google Cloud).
• Familiarity with distributed data processing frameworks such as Apache Spark, Hadoop, or Kafka.
• Knowledge with data warehousing and ETL tools (e.g., Snowflake, Redshift, Airflow, DBT).
• Strong understanding of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• Knowledge of data modeling, data architecture, and data governance practices.

Preferred Skills:

• Knowledge with machine learning pipelines or real-time data processing.
• Familiarity with DevOps practices and CI/CD pipelines for data engineering.
• Knowledge with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Benefits:

• Competitive salary and bonus structure.
• Opportunities for professional development and certification.

Application Process:
If you are passionate about building data systems that support impactful business decisions, we encourage you to apply. Please submit your resume and cover letter to [[email protected]].

You will be part of a dynamic team to drive growth in designing, managing and developing a Regional Data Warehouse Platform with various local and remote teams to generate insights and reports of the OTT business. Reporting to Assistant Lead, Data Innovation, you will be involved in improving/maintaining the data platform, AI/ML innovation projects and creating insightful dashboards.

Key Responsibilities

• Build and support Google Cloud Platform CDP, AI/ML and Big Data Projects
• Explore / Reconcile data using various open-source tools and/or cloud tools to generate business insights
• Work on insightful dashboards for business and operations
• Work on PoC and AI/ML projects within the group and with 3rd parties
• Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals
• Design, code and test data systems and work on implementing those into the internal infrastructure or cloud platform
• Build scalable data pipelines to extract, transform, load and integrate data
• Develop codes and scripts to process structured and unstructured date in real-time form a variety of data sources
• Test data pipelines for scalability and reliability to process high data volume, variety and velocity
• Consolidate and create storage solutions for storage and retrieval of information of regional data
• Gather data and generate business insight requirements by working with local Content, Marketing and Integrated Sales teams

Requirements

• Bachelor degree or Diploma in Computer Science or Computer Studies.
• 1 - 2 years' Data Analysis experience
• Experience in Go/Python programming as well as in AI/ML
• Has prior experience in Data modelling, API integrations, statistics, forecasting, DML, DDL, DQL, DCL or TCL
• Familiar with or willingness to learn Google Cloud and open to explore / PoC on other cloud platforms.
• Confidence in writing SQL or willingness to improve SQL skill
• Experience or willingness to learn modern software development lifecycle, CI/CD
• Open to learn new technologies to achieve best practices

Desired:

• Experience in creating ETL workflows, using Airflow or similar open source projects.
• Experience in real-time or near real-time data ingest at Google Cloud Platform or similar.
• Willingness to learn or working experience of one or more of the followings: Serverless Data Pipelines, Asynchronous Messaging Services, Cloud Object Storage, Cloud Scheduling Systems, Fully Managed Data Workflow Orchestration Services, Multi Cloud Data Warehouses, Serverless Workflow Orchestration and VPC Networks.
• Experience in AI/ML projects and/or research, such as BQML, Vertext AI and Auto ML.

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the Role

We are seeking a hands-on Senior Data Engineer to help us build out and manage our data infrastructure, which will need to operate reliably at scale using a high degree of automation in setup and maintenance. The role will involve setting up and managing the data infrastructure plus building new systems where required. Responsibilities will extend to building and optimizing key ETL pipelines on both batch and streaming data. The ability to work with the teams from product, engineering, BI/analytics and data science is essential. Ownership needs to be taken of data model design and data quality. The individual will also play active roles in ensuring data governance tooling is implemented and policies thereby adhered to.

The individual will also need to be able to work with technical leadership to make well informed architectural choices when required. A high degree of empathy is required for the needs of the downstream consumers of the data artefacts produced by the data engineering team, i.e. the software engineers, data scientists, business intelligence analysts, etc and the individual needs to be able to produce transparent and easily navigable data pipelines. Value should be assigned to consistently producing high quality metadata to support discoverability and consistency of calculation and interpretation.

Candidates should have a wide set of experience across the following platforms, systems, languages and capabilities:

• Ideally GCP, but strong experience in another platform such as AWS or Azure will suffice
• Event streaming platforms such as Kafka
• Stream analytics frameworks such as Spark, GCP Dataflow, etc
• Workflow scheduler such as Apache Airflow
• Cloud data warehouses such as c, Redshift or Snowflake
• Fluency in using Kubernetes, Python.
• Comfortable writing detailed design documents

The Senior Director, Project Management and Business Operation is a leadership role, responsible for leading the Data Center development projects in the APAC region.

This role will work closely with the function leaders of various business units, including but not limited to Land Sourcing, Design Management, Construction Projects, Product Management, Corporate functions, etc.

The Senior Director is responsible for ensuring the development and implementation of efficient operations and cost-effective systems to meet the current and future needs of the organization whilst fostering a collaborative and innovative team culture focused on operational excellence.

Core Duties and Responsibilities

• Establishes and optimizes day-to-day operational activities, including revenue and sales growth, expense, cost and margin control and monthly, quarterly and annual financial goal management.
• Leads efforts to develop and improve through efficient and effective integrated processes, implementing common management processes/services to leverage organizational resources.
• Directs operations review of cost and service structures, productivity measures and delivery methods to achieve planned targets.
• Acts as the point of contact to obtain funding for APAC projects from parent companies in Japan.
• Participates in acquisition and growth activities that support overall business objectives and plans.
• Manages and oversees the day-to-day operations to meet budget and other financial goals.
• Ensures that operational activities comply with organizational requirements for quality management, legal stipulations and general duty of care.
• Reviews and assesses sales opportunities.
• Participates in acquisition and growth activities that support overall business objectives and plans
• Liaison among Function Executives in APAC to ensure that all department heads are fully informed of the operational objectives of the business, and ensure challenges are resolved collaboratively.
• Assists the APAC Managing Director and contributes to strategy formulation and the setting of strategic direction.
• Advises the management team and/or department heads on key planning issues and make recommendations on important business decisions.
• Facilitates regular meetings with department heads to ensure that operational objectives are achieved.

Knowledge and Attributes:

• Strategic leader with creative and financial acumen coupled with strong business intellect necessary for taking the business to the next level.
• Significantly vast ability at interpersonal and communication skills, both verbally and written.
• Significantly vast business acumen, financial expertise, and strategic planning skills.
• Significantly vast problem-solving skills.
• Significantly vast leadership skills.
• Ability to collaborate with executives at a strategic and tactical level.
• Ability to understand new issues quickly and make wise decisions.
• Ability to work under pressure, plan personal workload effectively and delegate.
• Ability to inspire and move a cross-functional team towards a unified direction with a common vision.
• Significantly vast knowledge of big data analysis and performance/operation metrics.
• Significantly vast understanding of business functions such as HR, Finance, marketing, etc.

Additional Requirements:

• Bachelor's degree or equivalent in Business Administration or a related field.
• Significantly vast experience gained within a similar senior leadership role preferably within a similar global organization in Data Centers and/or IT infrastructure business.
• Significantly vast hands-on experience in strategic planning, and business operations.
• Significantly vast leadership skills with excellent work ethic.
• Significantly vast experience with successfully managing complex budgets.
• Significantly vast experience in real estate transactions and the formation and management of investment funds is preferred.
• Significantly vast experience in collaborating with global stakeholders across multiple time zones.

Responsibilities:

• Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
• Design and build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python.
• Familiar with SDLC process: Requirement gathering, design and development, SIT testing, UAT support and CICD deployment for enhancements and new ingestion pipelines.
• Ensure compliance with IT security standards, policies, and procedures

Requirements

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on the development and support of data ingestion pipelines.
• Experience with building on data platforms, particularly Snowflake.
• Proficient in SQL and Python.
• Experience in continuous integration and continuous deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Able to design, implement solutions and perform code reviews
• Experience with Cloud environments (e.g. AWS).
• Experience in Java.
• Experience in ETL tools (e.g. Informatica).

Working Hours:

• Monday - Friday: 8:30am - 5:30pm

Location:

• Near One North MRT

Job Description:

• Gather information on existing solutions for a PET
• Run experiments to benchmark and evaluate potential optimal solutions
• Design implementable workflows/ solutions that agencies can use
• Synthesize research on advancements, case studies, and benchmarks to develop materials
• Other ad-hoc tasks assigned

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science or a relevant field of study
• Experience with quantitative analysis, including machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in at least one programming languages, such as Python or R
• Experience with the cloud (e.g. AWS, GCP, Azure)

Responsibilities

• Provide level 1 support for hardware and software installation, troubleshooting, and maintenance for internal teams.
• Replace parts for servers like mainboards, CPU, RAM, HDD/SSDs, network linecards / modules, transceivers and cables
• On-site support for IT related issues at customer office
• Performing & maintaining IT inventory list
• Deliver IT parts to clients if needed

Requirements

• Nitec in Computer Science, Engineering, Information Systems or related fields.
• Passion and high sense of responsibility for work.
• Possess Class 3 license
• Physcially fit (sometimes would need to replace server)

If you are interested, kindly apply through mycareersfuture.

I regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R21100604

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 6,800 employees globally in more than 54 offices in 46 countries.

For more information, visit us at: www.cheil.com.

Ecommerce Data Analyst Full-Time Intern

The e-Commerce Data Analyst intern is highly passionate about data analytics.

Loves to work with big data from various categories and is motivated to learn about digital data.

He/She is a great communicator and loves being a team-player.

Responsibilities:

Assisting The Data Analyst in

· Managing large volume of raw data by filtering, sorting, processing and ananalyzing

· Prepare and present compiled data into reporting format in accordance to client specification.

· Data discipline and ensuring accuracy.

· Manage campaigns performance and weekly competitor’s analysis reports.

Requirements

· Proficient in Excel (Vlookup, Pivots etc).

· Self-motivated, persistent, hardworking, team player and a committed individual.

· Effective communication (verbal and written); Good command of the English language.

· Passionate towards e-commerce data analytics and willingness to learn.

· Working more than 3 months (Long-term) can be a plus

Summary

The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire world. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you ready to be part of a team that turns innovative ideas into extraordinary products and experiences? The Apple Services Engineering - Experimentation data engineering team provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Data Pipeline Engineer who can automate and build data pipelines for our search and recommendations features. Imagine what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Description

This team designs, executes and builds tools for online experiments (A/B tests) and offline experiments (human relevance judgement) that help us improve and fine tune our data-driven features. Your primary focus will be to automate the delivery of various datasets by working with Data Scientists on the team to understand critical metrics/KPIs and how they are derived. You will write and maintain the code that ingests, computes and organizes various data sets.

Minimum Qualifications

• Bachelors in Computer Science/Engineering or related field
• 3-5+ years’ demonstrated experience with Big Data systems, ETL, data processing, and analytics tools
• Proven experience working on big data systems and distributed computing, such as Hadoop and Spark
• Experience with programming languages such as Scala, Spark or Python
• Experience maintaining a large software system and writing a test suite

Preferred Qualifications

• Proficiency in using query languages like SQL, Hive and SparkSQL
• Experience with entity-relationship modeling and understanding of normalization
• Experience with sessionization of clickstream and time-series data is a plus
• Familiar with the concepts of dimensional modeling
• Experience with Continuous Integration, Version Control such as git
• Experience with data visualization tools, such as GGplot, etc
• Deep understanding of data structures and common methods in data transformation
• Keep up-to-date with the newest technology trends
• Working with software engineering teams to improve data collection procedures
• Processing, cleansing, and validating the integrity of data used for analysis
• Engineer code that is durable and reliable
• Performance tune and optimize code as data grows and needs change
• Generate reports (that can be automated) to present key insights to internal partners and leaders across engineering and product teams
• Showcase real passion for visualizing and making sense of data analysis

Responsibilities:

• Collect, clean, and analyse large datasets to uncover trends, patterns, and insights.
• Interpret data and develop reports, visualizations, and dashboards to present findings to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
• Identify opportunities for process improvements and data quality enhancements.
• Utilise statistical methods and predictive modeling to support decision-making and business strategies.
• Stay updated on industry best practices and emerging trends in data analysis and visualisation.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Apply state of the art machine learning knowledge to the healthcare domain to identify solutions to healthcare problems.
• Work with large data sets, integrate diverse data sources, data types and data structures into the solution.
• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
• Collaborate with various stakeholders on the formulation and application of new modelling solutions for a variety of healthcare related problems.
• Engage in deep research and identify new predictive modelling techniques as appropriate for a specific solution.
• Present research results and recommendations.
• Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Gather, assess, refine, and translate business requirements into technology requirements.
• Design data architecture framework and standards for scalability, performance, high availability, and reliability throughout the data life cycle.
• Work closely with project team (business, solutioning and infrastructure, etc) throughout the project cycle.
• Define and govern data architecture artifacts.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

Responsibilities:

• Develop and design solutions for data analysis in healthcare domain.
• Identify technical requirements from business requirements.
• Work with team to design and implement end-to-end technical solutions.
• Document solution requirements and architecture.
• Work with the Authority for testing and deployment of solution.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

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

National University of Singapore (NUS) is a reputed world-class university that provides an outstanding and supportive research environment. Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

NUS Department of Computer Science is seeking a highly motivated and talented postdoctoral researcher to join our team. This postdoctoral research project will focus on graph analysis. The goal is to develop effective and scalable algorithms for mining complex networks.

Qualifications

• PhD degree in Computer Science.
• Thorough understanding of data structures and algorithms, with high self-motivation and excellent problem-solving ability.
• At least 3 first-author publications in top-tier conferences related to database or data mining, such as SIGMOD, VLDB, and KDD.
• At least 1 year of experience in industrial R&D, particularly in deploying algorithms on online platforms handling massive data.

Job Description

The Executive is responsible for the collection and analysis of sales data to increase sales productivity and customer satisfaction as well as reduce sales barriers and low revenue levels. He/She creates standardized and customized reports that evaluate existing and potential customers, markets, products and business opportunities. He/She also manages sales performance data and all other system data to ensure organization-wide data integrity and consistency.

System Data Custodian

• Manage enabling technologies, including CRM, to optimize the effectiveness of the organization’s strategy and investments
• Administer data management policies and procedures to ensure accuracy, integrity and consistency of data
• Manage system database; create and update data accurately and in a timely fashion

Pricing Management

• Coordinate pricing strategy formulation and take necessary pricing actions to enhance profitability, ensuring integrity and accuracy in all pricing matters
• Work closely with various internal stakeholders including sales, logistics and medical specialty care to tabulate cost of sales
• Compute and update base prices
• Govern and administer pricing and discounting management framework to ensure compliance with established guidelines, policies and procedures

Business Intelligence Reporting

• Generate business reporting for strategic analysis and internal business review
• Prepare business intelligence including revenue and product trends, business segment performance, leading growth indicators and sales effectiveness
• Assist in the consumer research and collation of industry specific information, including industry trends and competitor activities, as well as pipeline reports

Work Experience & Qualification

• Recognized Bachelors Degree in Mathematics, Statistics, Accountancy, Business, Engineering or related fields
• Minimum 1 years of relevant work experience, fresh graduates are welcomed as well
• Experience in QlikView / Qlik Sense, Tableau or any other BI tools
• Experience and knowledge in Business Intelligence and Market Analytics

Competencies

• Communications: Good oral, written and inter-personal communications skills in dealing with individuals and groups at all levels
• Functional: Good working knowledge of word processing, spreadsheet, database and presentation software
• Industry: Basic knowledge of various regulations, policies, statutory requirements, assistance schemes and procedures related to the industry
• Planning: The ability to forecast resources and to manage resources to deliver workplace objectives
• Analytical Ability, Problem Solving & Strategic Thinking: The ability to assimilate and analyze information quickly and accurately and to formulate decisions and make recommendations for the short- to medium-term

Attributes

• Driven and committed individual who addresses and resolves challenges proactively and achieve goals and deliver optimal results
• Positive and flexible individual who manages resources and tasks in an effective and efficient manner
• Strong will individual who ensures that one is always doing the right thing by upholding the ethical and professional standards and is honest in all transactions with the organization and the stakeholders
• Meticulous and attentive to details
• Embrace the idsMED values of Loyalty, Integrity, Balance, Care, Agility, Reliability and Entrepreneurship
• Show a genuine desire to care for others, with a Happy, Engaging, Approachable, Responsible and Trustworthy personality

What will you be doing?

Your responsibilities will include:

• Analyze the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

OK, I’m interested… is this the job for me?

We look for people who value agility, passion and teamwork; those who can bring fresh ideas to the table and want the opportunity to learn, grow, and expand their careers. Bring your aptitude and build upon what you do best for our customers, partners, team, and you.

Other qualities that you’ll need to be a fit for this role include:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

Job Scope:

• Image Labeling: categorize images based on specific criteria provided by the project. This includes identifying key elements in images, tagging images with relevant labels, and ensuring accurate representation of content.
• Audio Labeling: Listen to audio recordings, transcribe them accurately into written form, and label the audio files according to the content expressed. This may involve differentiating between various speakers, understanding context, and providing detailed annotations.
• Quality Assurance: Maintain high standards of data labeling accuracy and consistency. Perform quality checks on labeled data to ensure compliance with project guidelines.

Requirements:

• Fluent in English, both written and spoken, with a strong ability to understand various Southeast Asian accents.
• Meticulous attention to detail to ensure high-quality work.
• Previous experience in data labeling or a related field is beneficial but not mandatory.
• Training on specific data labeling tools and project guidelines will be provided upon hiring.

Working Hours:

Mon - Fri: 8.30am-5.30pm

Contract Duration: 1 month starting from November 2024