Summer Intern- Solutions and Services, AI and Data Analytics

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.

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.

* 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.

Summer Internship Details:

* Compensation:
The hourly rate is $20/hr.

* Duration:
The internship program spans approximately 10 weeks, running from June 1st to August 14th, 2026.

* Work Arrangement:
This is a hybrid position, requiring interns to be in the office in four days a week (Monday to Thursday), with Fridays designated for remote work at the manager's discretion.

* Transportation:
Interns must have reliable transportation.

* Housing:
We do not provide housing or a housing stipend for interns.

* Work Visa:
Unfortunately, we do not offer work visa sponsorship for this role, including participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.

ABOUT US:

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