Henry Schein

Rely On Us.

Summer Intern - Pricing & Analytics

AnalystAnalystFull TimeRemoteTeam 10,001+Since 1932H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

Not specified

ExcelPython

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The Pricing & Analytics Intern will support the Pricing team in delivering data-driven insights that inform strategic pricing decisions, customer retention efforts, and margin optimization.

  • Works with leadership to coordinate efforts and resolve issues.
  • Works with the department prioritizing work assignments and act as a liaison with other departments.
  • Performs a variety of tasks/projects that address the needs of the department.
  • Participates in special projects and performs other duties as required.

Qualifications

  • Proficiency in Microsoft Excel
  • Experience using Python preferred
  • Exposure to Big Data preferred
  • Rising seniors pursuing a bachelor's degree preferred

Requirements

  • Good time management
  • Attention to detail and accuracy
  • Ability to plan and arrange activities
  • Interpersonal communication skills
  • Good verbal and written skills
  • Ability to maintain confidential and highly sensitive information
  • Ability to work in a team environment
  • Ability to multi-task

Work Experience

  • No experience required.

Preferred Education

  • Typically High School education, vocational training and/or on-the-job training.

Travel / Physical Demands

  • Travel typically less than 10%.
  • Office environment.
  • No special physical demands required.

Compensation

The posted hourly rate for this internship position is based on both your education and location.

  • Candidates possessing up to and including a high school diploma can receive either $15 or $16/hr depending on location.
  • This rate also applies to candidates enrolled in a college program but have not yet started those studies.
  • Candidates currently pursuing a bachelor’s degree or equivalent can receive either $18 or $20/hr depending on location.
  • This rate also applies to candidates enrolled in an advanced, post-graduate degree program but have not yet started those studies.
  • Candidates possessing a bachelor’s degree or equivalent and currently pursuing an advanced, post-graduate degree (i.e., MS, MBA, JD, etc.) can receive either $22 or $24/hr depending on location.

Job Requirements

  • Proficiency in Microsoft Excel
  • Experience using Python preferred
  • Exposure to Big Data preferred
  • Rising seniors pursuing a bachelor's degree preferred
  • Good time management
  • Attention to detail and accuracy
  • Ability to plan and arrange activities
  • Interpersonal communication skills
  • Good verbal and written skills
  • Ability to maintain confidential and highly sensitive information
  • Ability to work in a team environment
  • Ability to multi-task
  • Work Experience
  • No experience required.
  • Preferred Education
  • Typically High School education, vocational training and/or on-the-job training.
  • Travel / Physical Demands
  • Travel typically less than 10%.
  • Office environment.
  • No special physical demands required.
  • Compensation
  • The posted hourly rate for this internship position is based on both your education and location.
  • Candidates possessing up to and including a high school diploma can receive either $15 or $16/hr depending on location.
  • This rate also applies to candidates enrolled in a college program but have not yet started those studies.
  • Candidates currently pursuing a bachelor’s degree or equivalent can receive either $18 or $20/hr depending on location.
  • This rate also applies to candidates enrolled in an advanced, post-graduate degree program but have not yet started those studies.
  • Candidates possessing a bachelor’s degree or equivalent and currently pursuing an advanced, post-graduate degree (i.e., MS, MBA, JD, etc.) can receive either $22 or $24/hr depending on location.

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