Philips
Manufacturing Cost Engineers
Job Responsibilities
Analyze and mine large datasets to identify trends, patterns, and business opportunities.
Design and develop dashboards, reports, and self-service tools for stakeholders.
Translate business requirements into data models and visual solutions.
Partner with cross-functional teams to understand data needs and deliver actionable insights.
Automate data extraction, transformation, and reporting processes.
Ensure data accuracy, integrity, and consistency across all outputs.
Communicate findings clearly through visualizations and presentations.
Requirements:
Education
Bachelor’s degree in Data Analytics, Finance, Statistics, Computer Science, or a related field.
Experience
1–3 years of experience in data analysis or a related role (internships included).
Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
Strong skills in SQL and Excel; experience with Python or R is a plus.
Experience working with large datasets and relational databases.
Strong analytical thinking and problem-solving abilities.
Ability to communicate technical concepts effectively to non-technical stakeholders.
Preferred Skills:
Manufacturing Principles
Master Data Management (MDM)
Business Acumen
Cost Optimization
Material Cost Management
Financial Planning & Analysis (FP&A)
Data Analysis & Interpretation
Cost Estimation
Additional Information:
Focused on automation of cost data processes to drive cost savings and operational efficiency.