Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Profile: Sr. Demand Planning Data Analyst

How will you make an impact? As a Sr. Demand Planning Data Analyst at Thermo Fisher Scientific, you will enhance inventory management and drive performance improvements through exceptional data analytics and reporting. You will lead multi-functional projects within the CCG Supply Chain, crafting visual analytics to provide insights and develop data-driven problem-solving and communication.

Handle demand variability, ensure product availability, lead product lifecycle management, collaborate with teams, analyze business needs, and maintain data integrity.

Responsibilities:

Lead product lifecycle management, including portfolio expansion, new item setup, product conversion, rationalization/discontinuation, and inventory optimization.Apply proactive demand sensing techniques, adjust based on business intelligence, and address anomalies.Own department metrics like Customer Fill-rate, Days of Supply, Inventory Dollars, and Financial Performance by analyzing data.Support collaboration with portfolio management, purchasing, key suppliers, and the category planning team; lead continuous improvement projects.Build and maintain dashboards and reports using Power Apps, Power BI, Tableau, and Excel.Analyze business needs to build detailed reporting specifications; integrate data for comprehensive reporting tools.Maintain data accuracy and integrity in reports; work with collaborators to meet their reporting needs; improve current reports for performance and usability.Analyze large datasets, extract meaningful insights, and contribute to data-driven decision-making processes.Collaborate with multi-functional teams to understand instrument behavior and application impact, applying statistical, mathematical, and machine learning techniques to identify root causes.Apply sophisticated statistical models and data algorithms to identify correlation of parameters and data changes to automated processes, developing key actions to improve our applications.Apply statistical methods and machine learning algorithms to develop predictive models and actionable insights.Act as a data driver in solution design, proposing data and parameters for collection by engineering teams.Find and design appropriate solutions for data visualizations for different use cases (PowerApps, Power BI).Interpret and communicate findings to both technical and non-technical team members through reports and presentations.Brainstorm new improvements to streamline current techniques.Train end-users on Power BI tools and stay informed on the latest data visualization trends.

Key Proficiencies:

Proven capability in sophisticated data analytics and strong presentation skills to influence senior-level outcomes.Effective written and oral communication skills.Self-motivated with a strong bias for action.Dedication to continuous learning and development.

Required Experience:

Requires a Bachelor’s Degree, preferably in Supply Chain Management, Operations Management, Business, or a similar field.APICS certification preferred.5+ years of experience in Supply Chain Management, Inventory Management, Warehouse/Logistics, SIOP, or a similar field.Minimum of 3 years of demonstrable experience with data visualization tools, especially Power BI, Power Apps, and Excel.

Skills will make it easier:

Ability to work in a multi-functional team and readiness to offer help.Proficient in the English language.Competent oral and written communication skills.Bachelor’s degree in computer science, data analytics, or a related field emphasizing data-driven analysis and decision-making, or equivalent experience.Proficient in Python with knowledge of data science libraries.Advanced knowledge of sophisticated data analytics, methodologies, and predictive data models.Experience with SQL and Cognos databases.Experience with data visualization tools (such as Power BI).Keen to learn and introduce new tools in the analytical process.Highly motivated, critical thinker, self-starter with a passion for learning.Experience working with large data sets, data analytics, and data visualization.Ability to travel 5-10%.

What We Offer:

Competitive salary and benefits package.Opportunity to work with a dynamic and collaborative team.Professional development opportunities.Flexible working environment.