Analytics & Data Product Lead at Dyson

, , Philippines -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Analysis, Predictive Modelling, Machine Learning, Python, R, SQL, Data Mart Development, Supply Chain Management, Project Leadership, Stakeholder Management, Data Governance, Cloud Analytics, Data Visualization, CI/CD, Feature Engineering

Industry

electrical;Appliances;and Electronics Manufacturing

Description

About us The Global Supply Chain Master Data and Analytics teams are dedicated to treating data as a product, ensuring its accuracy, integrity, and value in driving operational excellence and strategic decision-making. By providing high-quality master data management and actionable insights across all regions and supply chain functions, the teams act as trusted partners to internal stakeholders, offering expertise in managing complex data structures and delivering reliable, impactful solutions that support the organization’s goals. About the role We are seeking a Lead Data Science/Data Product Specialist with deep expertise in supply chain operations and analytics to join our global team. As a subject matter expert, you will apply advanced statistical, mathematical, and predictive modelling techniques to develop innovative processes, services, and data products that drive supply chain efficiency. You will be instrumental in designing and delivering cutting-edge solutions, including data marts, to power decision-making, operational excellence, and the seamless functioning of our end-to-end supply chain. Key Responsibilities Provide subject matter expertise in advanced analytics, statistical modelling, and predictive analysis to address complex supply chain challenges (e.g., demand forecasting, inventory optimization, logistics efficiency, procurement, and production planning). Champion the development and enhancement of data marts and analytical data products tailored to supply chain requirements, supporting self-service analytics and strategic reporting. Collaborate closely with supply chain leaders, product managers, and stakeholders to translate business problems into robust analytics solutions and data products. Lead the end-to-end lifecycle of data-driven initiatives: problem scoping, data collection, feature engineering, modelling, validation, deployment, and ongoing performance monitoring. Partner with data engineering teams to design scalable, reliable pipelines and data architectures supporting advanced supply chain analytics. Maintain deep knowledge of emerging analytics trends in supply chain management, advising the business on best practice adoption. Communicate technical findings, business impact, and recommendations clearly to both technical and non-technical audiences. Mentor and develop junior data scientists and analysts within the team, fostering a culture of continuous learning and innovation. Uphold data governance, quality, and compliance standards, ensuring all solutions align with regulatory and privacy requirements. About you Bachelor’s in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related field. 5+ years of hands-on experience in data science or analytics roles, preferably within a global supply chain, manufacturing, or logistics environment. Demonstrated expertise in advanced statistical analysis, predictive modelling, and machine learning, applied to real-world supply chain problems. Advanced proficiency in Python, R, or similar programming languages, as well as BQ and SQL for large-scale data manipulation and analysis. Strong experience with building and maintaining data marts, data warehouse solutions, and developing production-grade data products. Solid understanding and application of supply chain concepts, processes, and KPIs, including demand/supply planning and optimization. Proven project leadership, stakeholder management, and the ability to deliver cross-functional analytics solutions on time and within scope. Excellent communication skills, capable of making complex analytics accessible to diverse audiences. Experience with cloud analytics platforms (e.g., AWS, GCP, Azure), data visualization tools (e.g., Tableau, Power BI, Looker), and CI/CD for analytics workflows are highly desirable. Familiarity with data governance and privacy requirements relevant to global supply chain operations. Benefits Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition. #LI-AK Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity. At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world. The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas.

Responsibilities

Provide subject matter expertise in advanced analytics and predictive analysis to solve complex supply chain challenges. Lead the end-to-end lifecycle of data-driven initiatives and collaborate with stakeholders to develop robust analytics solutions.