Summer Intern- Solutions and Services, AI and Data Analytics

Sharp Electronics Corp. • Downers Grove, IL

1d • Hybrid

About The Position

The Solutions & Services team at Sharp Electronics focuses on improving customer experience and operational efficiency across the post-purchase lifecycle. The team leverages data from Salesforce and SAP to understand support trends, product performance, and customer needs. As Sharp continues evolving toward a proactive, AI‑enabled service model, this internship plays a key role in accelerating innovation and supporting our service strategy.
Sharp Electronics is seeking a motivated and analytical Summer 2026 College Intern to help transform our service data into predictive, AI-driven insights. This role will work with Salesforce service case data and SAP product performance data to develop early-warning indicators, predictive dashboards, and insights that support our service and sales teams.
The ideal candidate has strong analytical skills, curiosity, technical aptitude, and the desire to make a measurable impact.

Requirements

• 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.
• Interns must have reliable transportation.

Nice To Haves

• Experience with Salesforce data structures or SAP environments preferred.
• Exposure to Python, R, or SQL preferred.
• Understanding of predictive modeling concepts preferred.
• Interest in customer experience, product reliability, or service operations preferred.

Responsibilities

• Data Collection & Integration
• 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
• AI‑Enhanced Insights
• 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.
• Data Analysis & Preparation
• 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.
• Visualization & Reporting
• 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.
• Collaboration & Documentation
• 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.

What This Job Offers

• Career Level: Intern