Summer Intern- Solutions and Services, AI and… at Sharp… · Downers…

Summary: Sharp Business USA is a division of Sharp Electronics Corporation, focusing on enhancing customer experience and operational efficiency. They are seeking a motivated Summer Intern to leverage AI and data analytics in transforming service data into predictive insights to support their service strategy. Responsibilities: - Aggregate, clean, and organize post-purchase customer interaction data from Salesforce, including: Support cases by create date Support cases by model type Average days to close Top 10 cases by product Top 10 cases by customer Top 10 cases closed by account - Extract and normalize SAP data related to: Failure rates Warranty claims Repairs by serial number, product, and customer/partner - Utilize AI tools such as Salesforce Einstein, Power BI, and other existing platforms to generate predictive insights - Evaluate AI-driven recommendations for accuracy, relevance, and alignment with business needs - Support development of a more proactive service model by identifying opportunities for predictive alerts and automated insights - Conduct exploratory data analysis (EDA) to identify patterns, trends, and correlations between service cases and product failures - Develop integrated feature sets combining Salesforce and SAP datasets to support future predictive modeling efforts - Identify key indicators that signal emerging service risks - Build dashboards and visual analytics summarizing predictive insights for leadership and cross-functional teams - Highlight high-risk products, customers, or failure modes for proactive intervention - Translate complex analyses into clear, actionable summaries for business stakeholders - Work closely with the Solutions & Services team, including the Service Manager, to ensure insights align with strategic objectives - Document methodologies, data assumptions, analytical processes, and findings to support scalability and future use - Participate in team discussions around service strategy and customer experience enhancements Required Qualifications: - Pursuing a Bachelor's degree in Data Science, Business Analytics, Computer Science, Information Systems, Engineering, or a related field - Strong analytical and problem‑solving skills - Familiarity with data visualization tools (Power BI, Tableau, or similar) - Comfort working with structured data and performing data cleaning - Ability to communicate insights clearly and concisely Preferred Qualifications: - Experience with Salesforce data structures or SAP environments - Exposure to Python, R, or SQL - Understanding of predictive modeling concepts - Interest in customer experience, product reliability, or service operations Required Skills: Data Analysis, Salesforce, SAP Important Skills: Data Visualization, Predictive Modeling Nice-to-Have Skills: Analytical Skills, Python, R, SQL