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Intern, Business Data Analytics -… at TA Instruments · US-DE-New…
InternshipOn-siteFull-timeUS-DE-New Castle
Skills
data analyticsexceldata visualizationpower bisqlpythonrcustomer experience metricsservice operationscommercial analyticscrm dataerp data
Job Description
Summary: TA Instruments is seeking a Business Data Analytics Intern to support the Global Service organization. The intern will develop customer experience models and analyze data to provide actionable insights that enhance service offerings and customer satisfaction.
Responsibilities:
- Analyze service and customer experience data (e.g., install base, service contracts, service interactions, response and resolution metrics) to identify patterns and segmentation opportunities
- Support development of customer experience models that differentiate service offerings by customer type, usage, and regional needs
- Identify drivers of customer satisfaction, retention, and service contract attach/renewal
- Develop dashboards, reports, and visualizations to communicate insights clearly to service and commercial leaders
- Partner with Service and Commercial teams to translate analytical findings into practical recommendations for service offerings and value propositions
- Contribute to documentation of methodologies, assumptions, and insights to support scalability and repeatability of analytics
Required Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Data Analytics, Business Analytics, Industrial Engineering, Economics, or a related field
- Strong analytical skills with experience using Excel and/or data visualization tools
- Ability to structure and analyze data to answer business questions
- Strong communication skills with the ability to present insights to non‑technical audiences
Preferred Qualifications:
- Experience with Power BI, SQL, Python, R, or similar analytics tools
- Familiarity with customer experience metrics, service operations, or commercial analytics
- Exposure to CRM or ERP data (e.g., Salesforce, SAP)
- Interest in service business models, customer experience, and data‑driven decision‑making
Required Skills: Data Analytics
Important Skills: Excel, Data Visualization, Power BI, SQL, Python, R
Nice-to-Have Skills: Customer Experience Metrics, Service Operations, Commercial Analytics, CRM Data, ERP Data
Benefits: Hands‑on experience applying analytics to real‑world service and customer experience challenges, Exposure to global service and commercial operations, Experience working with cross‑functional teams and senior stakeholders, Opportunity to influence how service offerings are designed and differentiated using data
Benefits
Hands‑on experience applying analytics to real‑world service and customer experience challenges
Exposure to global service and commercial operations
Experience working with cross‑functional teams and senior stakeholders
Opportunity to influence how service offerings are designed and differentiated using data