Permanent
Job Description
Electrolux Group
Electrolux Group is a leading global appliance company that has shaped living for the better for more than 100 years. We reinvent taste, care and wellbeing experiences for millions of people, always striving to be at the forefront of sustainability in society through our solutions and operations. Under our group of leading appliance brands, including Electrolux, AEG and Frigidaire, we sell household products in around 120 markets every year. In 2023 Electrolux Group had sales of SEK 134 billion and employed 45,000 people around the world. For more information go to www.electroluxgroup.com.
What you'll do:
The Supply Chain Data Analyst will be responsible for developing and maintaining data-driven insights and recommendations to optimize supply chain operations to ensure we are meeting our customer demand while keeping costs under control. This role will require a deep understanding of supply chain data analytics, forecasting, inventory management, logistics operations and the cost involved across supply chain nodes. This role will work closely with cross-functional teams to identify and analyze data from various sources and provide insights and recommendations for improvements in supply chain processes. You will also be working with IT teams to put the new business requirements and develop further visibility on supply chain reporting and analytics. This role would be required to generate descriptive, predictive & prescriptive analytics to support our perform, transform, and accelerate agenda.
In detail, you will:
Data Collection & Analysis:
Collect and interpret supply chain data across Demand & Supply Planning, logistics, inventory, warehousing, and distribution.
Analyze data trends to identify opportunities for process improvement, cost savings, and risk reduction.
Monitor key performance indicators (KPIs) and develop dashboards and reports to track performance.
Supply Chain Optimization:
Use data to model scenarios for inventory optimization, demand & supply planning, and supply chain performance.
Assist in capacity planning and forecasting, using data models to recommend adjustments in supply or demand.
Conduct root cause analysis for supply chain disruptions and develop actionable insights to mitigate risks.
Reporting & Visualization:
Prepare reports and visualizations that communicate complex data insights to supply chain and cross-functional teams.
Present findings to stakeholders and recommend solutions based on data analysis.
Automate data processes and reporting using modern data tools.
Collaboration:
Collaborate with cross-functional teams (Sales Ops, supply planning, logistics, production, finance, etc.) to align data-driven insights with business strategies.
Partner with IT to ensure data quality, system integration, and the implementation of data governance protocols.
Continuous Improvement:
Identify and implement data-driven solutions that increase efficiency and reduce costs.
Stay updated on the latest trends and technologies in data analytics and supply chain management, suggesting improvements to current processes and systems.
Qualifications:
Education:
Bachelor's degree in Supply Chain Management, Data Science, Operations Research, Mathematics, Statistics, Computer Science, or a related field. A Master's degree is a plus.
Technical Skills:
Data Analysis: Proficiency in Python, R, or SQL for data manipulation and analysis.
Visualization: Strong experience in data visualization tools such as Tableau, Power BI, or Looker to present data insights effectively.
Statistical Analysis: Hands-on experience with statistical modeling tools (e.g., SPSS, SAS) and machine learning libraries (e.g., scikit-learn, TensorFlow) to build predictive models.
Database Management: Experience with relational databases and data warehousing platforms such as SQL Server, Snowflake, or Google BigQuery.
ERP/SCM Systems: Familiarity with enterprise resource planning (ERP) and supply chain management (SCM) tools like SAP, Oracle SCM.
Soft Skills:
Strong problem-solving abilities and the ability to turn data into actionable insights.
Excellent communication skills for translating technical data into clear business decisions.
Attention to detail, with the ability to work both independently and collaboratively.
High proficiency in Microsoft Excel, with advanced skills in pivot tables, VLOOKUP, and data analysis toolkits.
Experience:
2-5 years of experience in data analysis, preferably in a supply chain or manufacturing environment.
Experience with supply chain analytics tools like Llamasoft, Kinaxis RapidResponse, or Blue Yonder is highly desirable.
Experience in predictive analytics and machine learning is a plus.
Certifications (Preferred but not required):
APICS Certified Supply Chain Professional (CSCP) or Certified in Production and Inventory Management (CPIM).
Certifications in Data Science or Machine Learning (e.g., Google Data Analytics, Microsoft Certified Data Analyst).
Key Competencies:
Strong analytical and quantitative skills with a proven ability to solve complex problems.
Ability to manage and analyze large datasets from various sources.
Experience in process automation and optimizing workflows through technology.
A passion for continuous learning and staying updated with the latest industry trends.
Where you'll be:
You will be based in our Bangkok Office and report to Supply Planning Manager AP.
Benefits highlights:
Medical & Life Insurance
Discounts on Electrolux products and services
Flexible work hours/hybrid work environment
As part of Electrolux, we will continuously invest in you and your development. There are no barriers to where your career could take you.
Find out more:
https://www.electroluxgroup.com/en/
