Service Sales Intern, Installed Base Focus (Nashville)

Philips; Nashville (TN); On-site; USD 29,000 - 33,000; Full time

Job summary

Philips is offering a Summer 2027 internship in Nashville, TN, focused on Service Sales IB. The 3-month paid program invites undergraduates pursuing BS degrees in analytics or related fields to gain hands-on HealthTech experience.

Responsibilities include analyzing Installed Base data, building data quality rules, and delivering BI-driven recommendations to leadership. The role emphasizes collaboration, learning AI/automation, and improving reporting visibility.

Qualifications

• Pursuing an undergraduate BS degree (or equivalent) in a relevant field.
• Passionate about solving business problems through data and analytics.
• Comfortable working with large datasets and identifying trends.
• Proficient in Microsoft Excel and eager to learn additional reporting tools.
• Curious about AI, ML, and automation and able to translate findings into recommendations.

Responsibilities

• Analyze Installed Base data across systems to identify data quality issues in sales reporting and territory alignment.
• Develop and implement standardized rules to detect and resolve data inconsistencies.
• Deliver BI insights and data-driven recommendations to leadership.
• Leverage analytics and automation to improve performance and efficiency.
• Present insights to business leaders and stakeholders.
• Meet minimum physical, cognitive, and environmental requirements.

Skills

Data analysis

Excel

Communication

Problem solving

Business analytics

Education

Bachelor's in Business Analytics / Data Science or related field

Tools

Microsoft Excel

BI/reporting tools

Job description

Philips is offering a Summer 2027 internship in Nashville, TN, focused on Service Sales IB. The 3-month paid program invites undergraduates pursuing BS degrees in analytics or related fields to gain hands-on HealthTech experience.

Responsibilities include analyzing Installed Base data, building data quality rules, and delivering BI-driven recommendations to leadership. The role emphasizes collaboration, learning AI/automation, and improving reporting visibility.