联想
Finance Intern - Summer 2027
岗位职责
Role Overview In this role, you will join Motorola Mobility’s Finance team in downtown Chicago, supporting the International Sales Organization (ISO) and Go-To-Market business. You will analyze financial and retail data, evaluate marketing and promotional investments, and provide insights that support business decisions. You will also gain exposure to AI, automation, and financial processes within a global technology company. What You’ll Do Analyze customer ROI for marketing campaigns and promotions. Prepare weekly retail sell-through reporting and analyze pricing, promotions, and market share. Use financial and retail data to identify trends and provide business insights. Use Excel, AI, and automation tools to improve reporting and recurring Finance processes. Identify opportunities to simplify and automate manual processes. Partner with Finance and cross-functional teams on analysis and special projects. What You’ll Learn How Finance supports sales, marketing, pricing, and Go-To-Market decisions. How to evaluate ROI and the financial impact of marketing investments. How to turn financial and retail data into actionable business insights. How AI and automation can improve Finance processes and reporting. How Finance teams operate within Lenovo and Motorola’s global business. Basic
任职要求
Currently pursuing a Bachelor’s or Master’s degree in Finance, Accounting, Business Analytics, Economics, Information Systems, Data Analytics, or a related field, graduating on or before Summer 2028. Minimum cumulative GPA of 3.2; 3.5 or above preferred. Proficiency in Microsoft Excel. Strong analytical, problem-solving, organizational, and communication skills. Reside in the U.S. and not require employment sponsorship. Willing to work a hybrid schedule of at least three days per week at Motorola Mobility’s downtown Chicago headquarters. Preferred Skills & Abilities Experience working with financial or business data. Familiarity with AI, Microsoft Copilot, automation, or generative AI tools. Ability to identify trends and translate data into clear business insights. Strong attention to detail and ability to validate data accuracy. Initiative, curiosity, and willingness to take ownership of projects. Ability to work effectively across Finance and cross-functional teams.
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