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HR Operations Graduate Intern (Summer 2024)

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Sigma Computing

Apr 3

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • People, HR & Administration
  • San Francisco

Requirements

  • Current graduate student studying Human Resources, Industrial-Organizational Psychology, Communications, or business-related degree with a passion for HR or organizational psychology preferred
  • Able to intern full-time in our San Francisco, CA office during the Summer 2024 period
  • Attention to details; proactive and willing to take on new challenges and partner with our leadership team across Sigma
  • Strong communication skills, systematic thinking, and interest in HR data and analytics
  • Experience and proficiency in Google for Work apps (Google Drive, Docs, Calendar, etc)
  • Previous work experience or internships in related HR fields is a plus.
  • Responsible and positive work attitude with ability to deal with challenging tasks in a fast-paced environment

Responsibilities

  • Assist with key HR activities including talent (performance) review cycles, creating process documentation, and playbooks for our leaders across Sigma to utilize with talent reviews for their departments
  • Provide people operations analytics support to help our HR and Ops leaders strategically make decisions around how we hire, retain, and grow our talent
  • Research various HR topics and industry-leading practices.
  • Support our HR Operations group with new hire onboarding tasks, benefits, and leave management
  • Partner with our HRBP to strategically develop retention and employee engagement best practices across the org
  • Provide assistance with our HRIS (ADP) administration and maintaining the backend of our People programs

Sigma Computing

Collaborative analytics built for the cloud

Technology
Industry
201-500
Employees
2014
Founded Year

Mission & Purpose

Sigma is not another Business Intelligence tool. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen.