Key Responsibilities:

Predictive Sales Prospecting & Data Insights

• Analyze customer and market data to identify high‑value prospects and uncover sales opportunities.

• Leverage AI, machine learning, data analytics, and other automation tools to enhance prospecting strategies and improve targeting accuracy.

• Develop data-driven insights to support decision-making across sales and marketing teams.

AI Tools & Technology Evaluation

• Explore emerging AI and analytical tools and assess their potential applications within sales workflows.

• Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts.

Data Management & Analysis

• Identify and consolidate internal and external data sources to support prospecting and reporting initiatives.

• Build and maintain dashboards, reports, and queries to monitor key performance metrics.

• Apply statistical methods to analyze structured and unstructured datasets and identify patterns, trends, and anomalies.

Sales Enablement & Reporting

• Create reports and visualizations that communicate insights clearly to stakeholders.

• Partner with cross-functional teams to translate data findings into actionable sales strategies.

• Support forecasting efforts and contribute to strategic and tactical planning.

Technical Tools & Collaboration

• Utilize tools such as SQL, Python, R, and business intelligence platforms (e.g., Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc.) to develop analytics solutions.

• Provide support and guidance on data tools and methodologies to team members.

• Maintain data integrity and ensure compliance with relevant standards and best practices.

Who we’re looking for

You are currently in your sophomore or junior year at an accredited university, pursuing a degree in Data Science, Data Analytics, Business Analytics, Computer Science, Artificial Intelligence, or a related field, and are excited to apply advanced analytics to real-world business challenges.

What you bring

• Strong analytical and problem-solving skills with the ability to work with complex datasets.

• Foundational knowledge of programming languages and data analysis tools.

• Desire to learn business automation tools such as Power BI, Power Automate, Power Apps, etc.

• Strong skills and/or interest in AI, machine learning, and data-driven decision-making in a business context.

• Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook).

• Clear and confident communication skills, both written and verbal.

• A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment.

Work Conditions & Schedule

• Duration: At least 12 months, with a preference for candidates entering their junior year who may be available for up to two years, with the potential to convert to a full-time hire.

• Start Date: Targeted for June 2026.

• Schedule: Full-time during summer (40 hours per week); part-time during the school year (10-20 hours per week).

• Work Model: Onsite — Wilmington, DE

• Agilent provides a laptop and necessary equipment for the internship term.

Compensation & Benefits

• Hourly Pay: $30.00–$32.00 (Our pay ranges are determined by role, level, and location.)

• Paid holidays and medical benefits eligibility.

• Professional development sessions, workshops, and mentorship.

• Exposure to sales, marketing, manufacturing, product development, and technical support functions.

• Access to Agilent Employee Networks (Women@Agilent, Council of Black Employees, Rainbow Spark, La Chispa, Veterans, Asian Pacific Islanders, and more).

This position is part-time during the academic semester and full-time over the summer.

The intern pay rate for this position is $30.00–$32.00/hour plus eligibility for paid holidays and medical benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location