Supply Chain Data Analyst I

TE Connectivitys Business Intelligence Teams are responsible for the processing, mining and delivery of data to their customer community through repositories, tools and services.

• Collect and analyze large datasets to identify patterns, trends, and insights that will inform business strategies and decision-making processes for Customer supply chain
• Develop and maintain reports, dashboards, and other tools to monitor and track supply chain performance.
• Assist in the development and implementation of supply chain strategies that align with business objectives.
• Identify and suggest solutions to potential supply chain risks and challenges.
• Build data models and perform data mining to discover new opportunities and areas of improvement.
• Conduct data quality checks to ensure accuracy, completeness, and consistency of data sets.
• Develop predictive and prescriptive data models to support forecasting and optimization efforts.
• Present findings to stakeholders in a clear and concise manner.
• Designs and delivers core and ad hoc Analysis, along with first level interpretation to provide insights and support decision making to Account Managers, Sub vertical Leads & other cross functional teams
• Generate and maintain business decision specific reports, dashboards and analytical solutions using multiple
• AI/BI tools, Business Objects, SAP, SQL Server, and other sources.
• Ability to translate complex analytical concepts into clear, business-friendly language.
• Willingness to work with stakeholders across different time zones globally.
• Flexibility to work across different time zones to ensure seamless communication and collaboration with stakeholders.

• Bachelors or masters degree in supply chain management, Data Science, Statistics, Mathematics, business analytics, or a related field.
• Minimum 2+ years work experience in related role.
• Proven experience in data analysis, business intelligence, or supply chain analytics.
• Proficiency in statistical analysis tools like Advance excel, as well as data visualization tools such as Tableau or Power BI.
• Knowledge on Data Engineering tools.
• Strong knowledge of supply chain management concepts, including inventory management, procurement, and demand forecasting.