Commercial Data Intern

Description and Requirements Lenovo is seeking a proactive, analytical student eager to learn for a part-time, hybrid role (3 days offce 2 days Home Office) in the Santa Fe area to work part-time in a hybrid arrangement in the Santa Fe area Key Responsibilities Generate, update, and distribute reports on sales, inventory, commercial performance, and business metrics. Develop and maintain dashboards and indicators in Power BI. Analyze large volumes of data to identify trends, opportunities, and areas for improvement. Consolidate information from various internal and external sources to prepare executive analyses. Support the automation of reports and analytical processes to increase operational efficiency. Perform data quality and consistency validations. Prepare presentations and executive reports for sales and management teams. Participate in projects involving market analysis, channel performance, and tracking of strategic initiatives. Collaborate with different areas of the organization to address information and analysis requests. Document processes and methodologies related to data management and report generation Requirements Academic Background Currently enrolled student in the final semesters of: Industrial Engineering Systems Engineering Actuarial Science Economics Business Administration Data Science Computer Science / Informatics Knowledge Academic or professional experience in data analysis, business intelligence, or report generation is desirable. Experience developing projects in Power BI is considered an advantage. Intermediate to advanced proficiency in Microsoft Excel: Pivot tables Dashboards Advanced functions Power Query (desirable) Intermediate to advanced knowledge of Power BI: Data modeling DAX Data visualization Dashboard publishing and maintenance Proficiency in Microsoft PowerPoint for creating executive presentations. Basic knowledge of databases and SQL (desirable). Familiarity with data analysis and automation tools (desirable). Key Skills • Analytical thinking and attention to detail. • Ability to interpret data and generate actionable insights. Ability to identify business trends and opportunities. Organizational • Effective time and priority management. • Ability to handle multiple reports and projects simultaneously. • Task organization and follow-up. Interpersonal • Effective verbal and written communication. • Ability to present information clearly and in an executive manner. • Teamwork and collaboration across different departments. Personal • Proactivity and initiative. • Eagerness to learn new tools and technologies. • Results-oriented mindset. • Strong attention to detail and commitment to data quality employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as veteran and basis of disability or any other federal, state, or local protect class. If you belong to a priority group, such as people with disabilities, we encourage you to share this information if you wish. This will allow us to provide you with reasonable accommodation and ensure an accessible, equitable, and fair selection process. _