Description:
This internship program is designed to provide data analytics support for various programs, projects, and initiatives in the Americas. It is intended to help identify and use leading analytics tools and technologies, including Artificial Intelligence (AI), Large Language Models (LLM), etc., to streamline sales enablement and channel strategies, improve sales productivity, as well as drive incremental revenue growth.
Responsibilities:
- Participate in cross-functional team to consult with business customers to understand complex business problems and analysis needs, develop technical requirements for reports and analysis, and data analytic solutions that provide insights to business decision-makers.
- Evaluate new AI technologies and programs, providing insights on their potential applications. Utilizes AI, ML, LLM and other technologies as part of data analysis, solution design and implementation, etc.
- Identify internal and/or external data sources and available data elements, and partners with internal/external resources to capture data.
- Develop information tools, algorithms, dashboards, and queries to monitor and improve business performance. Leverages data and applies statistical techniques to perform analysis of structured and unstructured datasets and develop metrics.
- Use knowledge of enterprise systems and master data processes, applies coding skills (SQL, R or Python), business intelligence technology (such as Qlik, Spotfire, Tableau or Power BI), and/or data visualization programs to create reports, analytics, dashboards, and other displays of trends and patterns.
- Provide technical assistance in relation to data analysis tools and methods.
- Identify patterns and trends in data sets, including anomalies.
- Protect data integrity and ensure compliance with relevant regulatory standards.
- Develop forecasts and make recommendations to assist in the development of strategic and tactical plans based on results and knowledge of the business.
- Create reports and visualizations to effectively communicate data-driven insights to others in the organization.