Agilent Student

Agilent Student

Intern – Predictive Sales Prospecting

US-DE-Wilmington · Intern · Internship

Sponsorship not specified$10k-$20kDetected 31 days ago
PythonSQLMachine LearningSparkData AnalysisData ScienceData VisualizationLLMsAccessibilitySalesForecastingExcelCustomer SupportCommunicationCollaborationProblem SolvingMicrosoft Office

About the role

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

Responsibilities

  • Develop data-driven insights to support decision-making across sales and marketing teams.
  • Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts.
  • 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.
  • 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.
  • 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.

Requirements

  • Strong analytical and problem-solving skills with the ability to work with complex datasets.
  • Foundational knowledge of programming languages and data analysis tools.
  • Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook).
  • A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment.
  • Travel Required:
  • 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.
  • 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.
  • Clear and confident communication skills, both written and verbal.
  • 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).

Compensation

  • Hourly Pay: $30.00-$32.00 (Our pay ranges are determined by role, level, and location.)
  • The intern pay rate for this position is $30.00-$32.00/hour plus eligibility for paid holidays and medical benefits.
  • 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

Benefits

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

Company info

  • If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030.
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This listing is sourced directly from Agilent Student's careers page and normalized into a canonical job model.