Data Engineer

Job Location

Bangkok

Job Description

Are you a dedicated Data Engineer with a passion for data and technology? Look no further! We are seeking a highly motivated and skilled individual to join the team at the Bangkok plant as a Data Engineer/Scientist. Our vision is to be the “BEST” in our industry with a strategy to transform supply chain through digitization.

Overview of the job:

As a Data Engineer/Scientist, your primary responsibility is to support the implementation of our site digital master plan. You will work closely with cross-functional teams to identify and integrate digital solutions that drive value and efficiency across our supply chain. This will involve collaborating with stakeholders to understand their requirements, evaluating available technologies, and designing and implementing digital solutions that meet those needs.

You will be instrumental in delivering the desired results by applying your expertise in digital solutions integration, cyber security, and process engineering. You will have the opportunity to contribute to the development and implementation of our site digital master plan, driving innovation and efficiency throughout our supply chain.

Responsibilities of the role:

• Leads and improves analytical programs and presents the results.

• Analyzes the variable granular data of the business and regularly uses advanced models to deliver business insights across diverse business domains.

• Answers and anticipates critical business questions and opportunities and delivers insights to the business in ways that make significant impact.

• Demonstrates use of data visualization (Tableau, Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from mountains of data.

• Collaborates with multifunctional teams (Operations, Initiatives, and IT etc.) to improve key business priorities based on data-driven insights.

• Lead the roll-out and development of digital solution per business needs

Job Qualifications

• Bachelors Degree in quantitative or Engineering field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.)

• Data management and visualization skills/tools in one or more of the following: Databricks, SQL, KNIME, Tableau, Power BI, JMP/SPSS or similar).

About us

We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents – internally – mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Schedule

Full time

Job Number

R000115711

Job Segmentation

Experienced Professionals (Job Segmentation)