Advanced Analytics Analyst – Calamba, Laguna, Philippines


Calamba, Laguna, Philippines


Reporting to the Head of business system integration, the Data Analytics Analyst will be responsible for applying machine learning models and data mining techniques to improve Dyson operation performance. Your key objective is to find opportunities and initiate projects within Dyson in which data analytics offer valuable insights such as cutting down supply chain cost or improving manufacturing performance. You will work as part of a team responsible for managing master data that is consistently accurate, on time and in full. You will help to carry the process of collecting data from various sources, to ensure the integrity and quality of data, to utilize the data in developing business insights, and to evaluate these insights using multiple metrics and cost analysis.

Market Overview

This is an opportunity for an experienced Data Analytics Analyst to join a rapidly developing and constantly growing cutting edge consumer goods business. Dyson are expanding its footprint in SEA and are looking for experienced staff to take Dyson through it's next stage of growth.

Function Overview

The key objective is to align data analytics with business objectives. You will need to understand the supply chain and the business processes in other areas within Dyson. From this knowledge, you will need to work with multiple business stakeholders to interact with and gather data from various Dyson systems. After collecting data, pre-processing is an essential responsibility in this process of extracting business insights. With the data ready to be analysed, you need to tackle the data problems holistically, in the sense that multiple models and different algorithms with various parameters are to be tried out and weighted to find out the best solution. You will be responsible for the design and development of analytical models to support Dyson operations or implement changes. You will conceptualise and build solutions to make the changes a permanent success.

Furthermore, Dyson aims to increase its operational efficiency and change to adapt to its fast-growing and increasingly complex business operation. One of the key challenges to the job is to attract business interest in utilizing the data analytics and insights to make changes and improvements. This task focuses on the success of change implementation within the organizations. Hence, you will need to prepare thoroughly for presenting your ideas to various business stakeholders and convince them of your findings. Make them understand a problem or an opportunity and get them to be involved in your effort to apply data analytics to the problem. Machine learning, deep learning, data mining or advanced analytics often requires technical knowledge and statistical expertise. Presenting such topic to business people hence needs your emphasis on simplification and clarity.


  • Develop business insights from multiple big data sources
  • Make use of data analytics to answer key business questions by providing both qualitative and quantitative analysis on request
  • Find out hidden problems or new opportunities to apply machine learning/deep learning to achieve business improvements in the supply chain
  • Layout a framework or methodology to apply machine learning/analytics techniques into business operations
  • Work with a data architecture to ensure the accessibility and capability of a central database infrastructure
  • Knowledgeable in data
  • Apply different data mining models on data for analytics
  • Maintain a backlog of activities for each of the analytics projects
  • Find ways to simplify and make the process of performing data mining faster and more efficient
  • Present technically complex solutions to the business stakeholders in a simple yet interesting way.
  • Persuade different stakeholders to participate in the analytics projects
  • Work with project managers  to ensure delivering developed insights
  • Communicate in a professional, responsive and helpful way to the internal customers
  • Provide solution support, advice and guidance to the internal customers


  • Previous experience of working with big data, machine learning and deep learning
  • Competent in statistical modelling
  • Strong in analytics techniques and data visualization
  • High levels of attention to detail and accuracy
  • Organised and methodical. Applies and enforces agreed standards and ways of working
  • Well-developed problem solving skills
  • Highly numerical
  • Self-motivated, flexible, with the ability to deal with high levels of complexity, change and evolving processes, often at short notice
  • Leadership skills and presentation skills
  • Displays a clear passion for data mining and business analytics
  • Able to work collaboratively and communicate effectively with key stakeholders
  • Comfortable interacting with customers and stakeholders to gather data and gain business knowledge
  • Works to high standards
  • Inquisitive and thorough in approach
  • Thirst to learn about new areas and develop new areas of expertise
  • Appreciates what constitutes good customer service and displays a commitment to delivering this
  • Advanced skills in database and reporting

Underlying characteristic/behaviour required
  • Ability to think out of the box
  • Self-motivated, dynamic, results-driven and assertive
  • Good presentation skills at all levels of the organisation
  • Team player, comfortable dealing with all business levels and external suppliers
  • Ethical, personal integrity
  • Quick learner
  • Willing to be flexible in tasks and activities taken on
  • Enjoy challenges and thrives on them
  • Attention to detail without losing bigger picture

Benefits Overview


Posted: 24-Apr-2017

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