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Jobs that require data collection skill

Nanyang Technological University
Project Officer
Nanyang Technological University   via JobsCentral

Roles & Responsibilities

A Project Officer position is available in the School of Physical & Mathematical Sciences at Nanyang Technological University.

The candidate will work on research projects about applications of machine learning algorithms. He/She is required to replicate the codes and results of the assigned papers, and implement the improvements under guidance. He/She will be mainly responsible for data collection/extraction, data cleaning, coding of algorithms, and conducting numerical studies    Read more

for various applications.


Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, or related fields (with at least second class or equivalent honour or minimum 1-year working experience in data analysis)

Knowledge in finance/economics is required but the exception is made for the candidates with good academic records

Familiar with scientific programming, e.g. R language

Ability to work independently or as a team player

Applicants are required to submit cover letter, curriculum vitae, and soft-copies of transcripts. Two reference letters will be required if the candidate is shortlisted.

We regret only shortlisted candidates will be notified.

Machine Learning Engineer

Roles & Responsibilities

Building machine learning & analytics platform and working with data scientists to create, optimize and productionize of machine learning models and building data pipelines for machine learning systems for various business units within the org.


• Build and improve machine learning and analytics platform.

o Develop components of machine learning and analytics platform.

o Improve the machine learning workflow, from data exploration, model experimentation/prototyping to    Read more


o Build framework to support machine learning and data-driven business activities at large scale.

• Work with data scientists to build end-to-end machine learning and analytics solution to solve business challenges.

o Build data pipeline for machine learning systems.

o Turn advanced machine learning models created by data scientists into end-to-end production grade system.

o Build analytics platform components to support data collection, exploratory, and integration from various sources being data API, RDBMS, or big data platform.

o Optimize efficiency of machine learning algorithm by applying state-of-the-art technologies, i.e. distributed computing, concurrent programming, or GPU parallel computing.

• Excellent understanding of software engineering principles and design patterns.

• Excellent programming skills in Python, Scala, or Java.

• Working knowledge of big data technology stack: Hadoop/Yarn, Hive, HBase, and Spark.

• Experience to one or more commercial / open source data warehouses or data analytics systems, e.g. Teradata, is a big plus.

• Experience to one or more NoSQL databases is a big plus.

• Hands-on experience in Cloud platforms, e.g. AWS, or containerization/ virtualization platforms, e.g. Docker/Kubernetes, is a big plus.

• Experience to any data science or machine learning platform, e.g. IBM Data Science Experience or Cloudera Data Science Workbench, is a big plus.

• Good understanding of data science and machine learning technologies and methodologies is a big plus.

• Exposure to mainframe system is a plus.

• Passion about machine learning and data-driven intelligence system.

• Excellent communication and presentation skills in English.

• Team player, self-starter, ability to work on multiple projects in parallel is necessary.

• Experience in software engineering, devops automation, and big data engineering

• Experience working in multi-cultural environments

Merchandiser (Fast Fashion) - Online

Roles & Responsibilities

The Employer

The Employer is one of the leading European brand of fast fashion apparel and accessories. It operates several large retail stores in Thailand and is known to provide its customers an exceptional retail experience. Its innovative designs and materials and affordable price ranges have made it an iconic youth brand globally.

In Thailand, the company would like to build an additional online channel to reach out    Read more

to its customer base. It is in the process of building a core team that will conceptualize, design, build, deliver and manage the online business and is interested in bringing on board a professional merchandising professional to join the team as:

Position:Merchandiser (Fast Fashion) - Online

Job Code:EXP/MERCH/FF/TH/0119

Location:Bangkok, Thailand



Identifies and builds online product assortments, exclusive promotions and be an expert in

e-commerce landscape

Building weekly / monthly merchandise calendar while maintaining an acute awareness of the competitive landscape

Communicate with key cross functional team, and drive seasonal business and assortment strategy to meet financial targets and customer expectations.

Creates content boxes, stories and collections, that features relevant content and complementary products

Suggests products for email marketing and social media post

Identifies opportunity and implements product photography changes together with the Online visual team

Continually review merchandising of top-sites, navigation and listings and proposing new attributes per category and optimizing site navigation

Reviews the new-in list, ensuring the site is representative of key products

Monitors intake daily and weekly to make sure all products are going online in a timely manner

Monitors live sales to identify fast sellers on the day and take action as required to maximize sales

Reviews daily and weekly sales trends, identifying areas of weakness, proposing and taking action to increase sales


Bachelor’s degree from a reputable university

4 – 6 years of experience

E-commerce / Digital Global Merchandising – experience in development and execution of global e-commerce or omni merchandising strategies

Financial Acumen – knowledge of and ability to impact financial outcomes

Strategic and Analytic Thinker – thinks strategically, conceptually and creatively

Problem Solving Skill – ability to define problems, collect data, establish facts, draw valid conclusions and provide solutions

Dealing with Ambiguity – experience working through significant change and transformation

Team leadership – has influenced cross-functional teams

Collaborative – proven ability to work in an environment where collaboration with cross functional partners is a key focus (brick-and-mortar merchandising, visual merchandising, marketing and communication, customer service)

Customer Focus – Understand customer needs and pain points

Possess excellent written and oral communication skills

Strong computer skills that includes use of spreadsheets, documents, and multiple internal programs

Able to work in a high speed, multi-tasking and work-load environment while maintaining composure


Please apply with a detailed CV (preferably including details on Education & Training, Key Skills, Detailed Work Experience, Language Skills, Professional Referees, Recent Photo, Current/Expected Salaries and Contact Details) to [Click Here to Email Your Resume].

Kindly state the position and Code as the subject of your email. We regret that we would only be in a position to respond to shortlisted candidates.

Data Analytics Manager
SATS LTD.   via JobsCentral

Roles & Responsibilities

Business Analytics

Build data visualisation and dashboard for the business and respective product owners

Deliver accurate regular and ad-hoc performance tracking and analysis to drive traffic, transactions and processes

Ad-hoc analysis based on strategic direction of the business and deep dive into specific area / trend

Make recommendations based on historical data and predict trends

Conduct market analysis leveraging on external data to determine market sizing and growth rates

Assist in business    Read more

case and pricing initiatives as required

2. Data Analytics

Design, develop and implement statistical models, as well as interpret and present statistical outcomes to support the organisation’s operations and execution of key business strategies

Design and conceptualize solution that address the organisation’s challenges through use of big data analytics and process large amount of data by applying algorithms

Collaborate with stakeholders to build data analytics capabilities, conduct feasibility studies,

Knowledge of ETL and OLAP to support and contribute to database implementation and systems, devising strategies to promote continuous improvement

Devise methods and strategies to obtain and extract data to derive business insights


Degree holder in Business / Data Analytics, Business, Information Technology or Computer Science with at least 5 years of business analytics and/or data analytics

Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.

Experience of Data Management Solutions and Data Warehouse Management.

Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.

Experience and knowledge of analytical and statistical modelling techniques: hypothesis development, designing tests/experiments, analysing data, regression (multiple, logistic, log-linear), neural network, decision tree, variable selection, etc

In-depth understanding of statistical and predictive analytics as well as text analytics implementation process

Experience working with and creating databases and dashboards using all relevant data to inform decisions.

Proficient with data analytics method and technologies / tools such as ETL, OLAP, R and/or Python and Qlik.

Highly motivated, structured and methodical with high degree of initiative.

Strong problem solving, quantitative and analytical abilities.

Excellent written and oral communication skills.

Able to work independently or cross functionally.

The Advertiser
Business Process Analyst
The Advertiser   via JobsCentral

Roles & Responsibilities


Provide OPCO Support:

Primary contact point for OPCOs regarding SFDC and CPQ process and systems

(SFDC:, CPQ: Configure, Price and Quote)

Provide data migration support for business deployments across OPCOs

Liaise with product managers and ensure due attention and timely support is provided to resolve in process/system issues

Ability to influence stakeholders and work closely to determine acceptable solutions

Do analysis and measure a process and    Read more

provide insights to improve the process where required

Generate reports on a timely manner and prepare KPI reports to OPCO’s and Snr Management

Generate Training material where required and conduct training to users on systems

Participate in workshops and document current state gaps, challenges and future state designs


3-5 years working as BPA or as data analyst role

1.Strong Analytical, conceptualisation and problem solving skills

2.Competent in Excel and Power point

3.Results and customer oriented team player with strong zeal to learn and resolve issues

4.Marketing and Sales process knowledge

5.Knowledge of Salesforce or CRM system, ERP or any analytics tools is desirable

6.Prior experience in Data collection, Data massaging and data mining is an added advantage

7.Familiar with IT infrastructure Technology

Effective communication and stakeholder management skills

Corestaff Pte Ltd
It Engineer (Firmware / Entry Level)
Corestaff Pte Ltd   via JobsCentral

Full training and guidance for candidates

AWS + VB entitlement

Dynamic and friendly environment

Our client is a global barcode and RFID technology company that focuses on data collection and label printing solution.

Main Role:

To support customers by providing firmware solutions on time to satisfy the users’ requirements.

To consistently update company’s printer firmware with new technology and error corrections


Create and prepare documentations for specifications, firmware design and evaluation    Read more

Develop special customized firmware according to customers’ requests and requirements

Enhance or correct issues pertaining to printer standard firmware

Increase competitiveness of our products against others by implementing new technology into our line of products

Involved in discussions with GMCs to better understand needs and requirements of end users


Candidate must possess at least a Diploma, Advanced/Higher/Graduate Diploma, Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.

At least 1 - 2 years working experience is require for this role

Candidate without working experience but with relavet education certificate can be consider.

Full-Time position(s) available.

How to Apply:

Interested candidates, please submit your updated resume in MSWORD format by using Apply Now button or email to [Click Here to Email Your Resume]

We regret to inform that only shortlisted candidates will be informed.

Ngu Hui Ling

Registration No : R1217701

EA License No : 18C9027

Principle Consultant
SALESWORKS PTE. LTD.   via JobsCentral

Roles & Responsibilities

As the Principal Consultant, you will be responsible with providing vital analysis and recommendations for improvements and to provide in-depth business guidance and information to the Executive Director, JAG Group, JAG Board of Directors, and other relevant stakeholders.

The incumbent will also work on identifying clients’ needs and developing pragmatic solutions to business problems.In particular, the Principal Consultant will support and enhance the Group’s business strategies by    Read more

applying frameworks and delivery plans. Outcomes often include customer insights solutions, but may also consist of process improvement, business transformation, strategic planning and policy development.

Change management strategies will continue to be a focal point as well.The role will require extensive knowledge in the business models operated by the Group and its subsidiaries.Experience and relevant knowledge will result in the ability of assessing situations and changes and have the aptitude adjust where necessary.


Key Roles & Responsibilities

Provide advice about the feasibility and suitability of proposed solutions to optimise business performance

Provide leadership to relevant teams to provide customer focussed services

Facilitate strong working relationships with relevant key stakeholders to support collaboration, the exchange of information and issues management to build on existing relationships and influence outcomes.

Work with key stakeholders to define business requirements and trends to enable informed business decisions and service level improvements

Presenting findings and recommendations to senior stakeholders.

Translating business requirements into functional specifications

Contributing to business development and internal knowledge sharing initiatives within JAG Group and its subsidiaries

Overseeing and leading any change management projects, including the researching, implementation and assessment from start to finish

Identify and make recommendations to improve office work processes as applicable

Perform engagement procedures designed to identify and define issues, review and analyse evidence, and document business processes. Prepare working papers to support results of procedures.

Conduct interviews with client management to gain an understanding of client business conditions, risks and controls (including preparation of interview notes).

Education & Qualifications

BSc/BA in a relevant field; MSc/MA in a specialized business field will be an advantage

At least 10 solid years in the consulting practice

Minimum 5 years of work experience in both Asian and European markets required

Knowledge of diverse business matters such as Sales, Finance, IT, Marketing, HR etc.

Familiarity with a wide selection of business management software (CRM, ERP etc.) and databases

Outstanding communication and interpersonal skills

Analytical mind with excellent data collection and analysis skills

Aptitude in creative problem-solving

Knowledge & Skills

An entrepreneurial mind-set with and strong mental fortitude

Excellent interpersonal communication and comfortable with making presentations and not afraid to make their point be heard

Business knowledge with an emphasis in the services industry given the uniqueness and intricate business practices of the Group

Strong analytical skills and comfortable with data analysis and its interpretation

Tolerance for ambiguity and able to sift to achieve clarity

Any Other Attributes

Regional Asian and European exposure/experience

Digital Analytics Manager

Roles & Responsibilities

Lead digital analytics within AIA to provide data-driven insights for enterprise-wide digital platforms.

Understand business requirements and partner with cross-functional stakeholders to define KPIs aligned with overall corporate strategic direction.

Collaborate with working teams to measure effectiveness of various digital platforms including corporate website as well as other digital tools.

Apply best practices in tagging and (manage vendors to) ensure accurate, organized and efficient implementation.

Create self-service dashboards at the    Read more

appropriate granularity to monitor and report:

KPI metrics and emergent trends

Marketing and growth analytics

Investigative and behavioural analytics

Help stakeholders understand user behavior from the digital data reported; analyze and translate data into actionable insights.

Work alongside data analytics team to analyze customer data and uncover customer insights.

Craft compelling fact-based presentations and recommendations to C-suite.

Proactively monitor trends to alert business and engineering teams in a timely manner.

Drive continuous improvement in digital analytics to optimize data collection and analysis.


Excellent analytical capabilities with strong presentation and communication skills

Hands-on technical experience in tagging and configuring analytics platforms such as Adobe Analytics, Dynatrace, Google Analytics, Tableau,

Experience in setting up A/B and multivariate testing

Meticulous attention to detail

Passion for insights-driven development and logical problem-solving challenges

Ability to meet deadlines and work on multiple projects simultaneously

Can-do attitude and willingness to dig-in and get things done

Familiar with database management and SQL

Hands-on scripting / coding skills

Experience working with Tableau

Bachelor degree in an analytical field and 5+ years experience in digital analytics

3+ years experience in insurance industry strongly preferred

Associate Engineer Module Engineering (Clean Tech Equipment) Fab 7

Meet Module goals by sustaining and improving equipment performance to achieve good PM success and survival rate.

Follow SOP and carry out CAS per specification

Execute scheduled / special preventive maintenance (PM) as per PM schedule and specifications

Troubleshoot basic and chronic equipment related issues to maintain or improve tool performance

Maintain good housekeeping in the production floor / sub FAB / Office, and maintenance support areas

Ensure    Read more

and follow good safety practice and also safe custody of tools, equipment and other properties belonging to the Module

Identify Safety Gaps and develop solution to resolve them

Know how to use SPACE to monitor and analyze SPC charts. Understand all the PR rules and follow CAS correctly

Know how to use measurement instruments effectively in data collection. Able to create metrology job files correctly (equipment list to be defined by the Supervisors)

Perform shift duties (12-hours shift) to support the running of production in the Module and ensure equipment readiness and worthiness for production

Able to undertake the Equipment Ownership role when identified

Assist Engineer or take leadership role in the installation and hook up of new or upgrading equipments

Assist in implementing or implement independently equipment improvement projects.

Able to train operators and trainers in new operational procedures

Execute good maintenance of support tool

Guide and Train new Technician/Associate Engineers on their On-The-Job-Training (OJT) by acting as their mentor

Provide proper and accurate passed down ofline issues and documentation (fill up and file the checklists)

Wafer scrap reduction awareness and formulate wafer reduction solutions

Participate in CIP programs to improve productivity and quality of equipment/process

Coordinate with operators to ensure efficiency of work to meet Mfg and Module objectives


Diploma in Electrical / Electronics / Mechanical / Mechatronics / Microelectronics Engineering

4-6 years working experience in electrical / electronics industry

Perform 12-hours rotating shift or Normal/Swing Shift where required

Good Team Player


Fresh graduates are welcome to apply

Housing and Development Board
Engineer (Analytics)
Housing and Development Board   via JobsCentral

Roles & Responsibilities


You will be involved in a multi-disciplinary area of analytical research to gain actionable insights to shape and provide value to a HDB town’s development. Your responsibilities include data acquisition and data fusion, creation of 3D and mathematical models, and designing of algorithms to create a digital twin of the urban environment.

To derive insights and provide recommendations, you will look into using new and emerging    Read more

forms of data and developing new computational approaches and data analytics techniques in the aspects of geospatial, visual, statistical, and predictive analysis. You will also be exposed to various modelling techniques such as environmental modelling and urban systems modelling to complement and facilitate urban analytics efforts.


You should possess a degree in Engineering (Electrical or Mechanical or Civil) recognised by the Professional Engineers’ Board, and have at least 2 years of experience in field of IT, GIS systems and analytics. Candidates with relevant skills in analytics such as 3D modelling, probability and regression analysis, spatial configuration analysis and machine learning will be preferred.

Only shortlisted candidates will be notified.