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Sr. Demand Planning Data Analyst - ONSITE • •

Sr. Demand Planning Data Analyst - ONSITE • •

Thermo FisherPittsburgh, PA, US
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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.
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