Data Analysis: Use front-end tools like Adobe Analytics to merge customer behavior data with internal business transaction data for conducting detailed e-commerce data analysis.

Develop a strong grasp on sales trends, customer behavior, and market demands.

Data Processing: Perform data cleansing, transformation, and consolidation using SQL queries and Python programming to ensure data accuracy and completeness.

Data Visualization: Build visually appealing and easy-to-understand reports using tools like Power BI to provide decision support for management.

Business Teamwork: Work closely with the e-commerce team to understand business requirements and provide tailored data support and solutions.

Customer Insights: Conduct detailed data analysis to gain in-depth understanding of customer needs, providing insights and support for product promotions and marketing activities.

Data Governance: Supply to the establishment and maintenance of data governance frameworks to ensure data quality and integrity.

Qualifications Education: Bachelor's degree in Statistics, Computer Science, Marketing, or related fields.

Experience: 1-2 years in data analysis, preferably in e-commerce.

Experience in life sciences or instrumentation is a plus.

Technical Skills: Proficient in SQL, Python, and Power BI.

Experience with Adobe Analytics is preferred.

Communication: Excellent communication and coordination skills.

English Proficiency: Strong English reading and writing skills.

Join our esteemed team at Thermo Fisher Scientific Inc.

and apply your expertise to deliver outstanding outcomes in our e-commerce business.

Take the first step today and supply to our globally recognized organization!