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Sharp Electronics
Downers Grove, Illinois, US

Summer Intern- Solutions and Services, AI and Data Analytics

Hybrid$20/hrPosted 3 weeks agoLinkedIn
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About this role

Overview

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.

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.