Job Openings >> Data Analytics Associate (Fall 2026 Internship) - HR/OD
Data Analytics Associate (Fall 2026 Internship) - HR/OD
Summary
Title:Data Analytics Associate (Fall 2026 Internship) - HR/OD
ID:1172
Department:Human Resources
Description

Data Analytics Associate: Fall 2026

Company:       Retensa                                                                    Industry:   AI Software, Management Consulting

Department:    Talent Management Service                                    Contact:  careers@retensa.com

Position Title:    Data Analytics Associate                                      Phone:     (212) 545-1280

Who We Are: 68 out of every 100 employees don't like their jobs. That’s a crazy number. But there is hope. Retensa helps to improve employees’ lives at work. Today, people use our technology in 59 countries and 22 languages. We think it can be even more. You could be a part of that. There is a .2% chance that we will change the world (which may not seem like much…but what are the chances at your current job?). Along the way, if you work at Retensa, we want you to value what you do. So here is what we want from the person to do this role. If this sounds like you, apply to discuss how we can make a difference together.

What Our Clients Say: Retensa Reviews - Company Details, Pricing & Features | G2

What We Believe: Retensa is focused on our vision: “To create workplaces where every employee is engaged by what they do and inspired by who they work for”. As a member of our AI Technology team, you’ll be at the forefront of global software, predictive AI, and Talent Management. And by contributing toward the vision, your effort can help millions of employees in thousands of companies enjoy meaningful and fulfilling work.

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What You Will Do: Retensa internships are a way we collaborate with future leaders; giving you the opportunity to grow and enhance your career. At Retensa, you will be at the forefront of Management Consulting, Cloud-Based Technology, Predictive Analytics, and Organizational Development Initiatives. Your efforts will help up to 1 billion employees in 1 million companies worldwide. You will gain real world experience leveraging your knowledge as part of our Talent Management Team, engaging in strategic cross-functional activities such as Organizational Assessments, HR Metric Analytics, HR Trend Analysis, and/or HRIS Management. Our structured program offers client-facing projects to strengthen your leadership and team-building skills. This is a stipend internship for approximately 14 weeks. High-performing individuals have received a job offer for a paid position post-completion of their internship.

Qualifications: This is a challenging internship for highly motivated master’s candidates in a related field (Data Science/Data Analytics and Visualization/Computer Science). The ideal candidate will be hard-working, enthusiastic, and resourceful; with good time management skills in a fast-paced environment. Applicants must maintain a 3.0+ GPA and be self-directive, team-oriented, with projects proven to illustrate attention to detail.

Applicants must have one direct experience in HR/OD, or IO/Psychology, or data analytics role; hold a 3.0+ GPA and be proficient in any 3 of the following skills.

  • Advanced Excel (Data Cleaning, Structure, etc.)
  • 1 Year Experience in Applied Statistics (R, SPSS, SAAS, or similar)
  • 1 Year Experience in Data Analytics (Python, SQL)
  • 1 Year Experience in Machine Learning (Predictive Modeling, Natural Language Processing)
  • 1 Year Experience in Data Visualization

 

Time/Compensation: 24-32 Hours per week, 3-4 Days per week (part-time). A stipend of $500-$1000 will be provided upon completion of the internship. 
Location: Remote, EST +/- 3 hours

To apply, please submit your application to Retensa Careers page

This is a remote stipend internship for approximately sixteen weeks. High-performing individuals have received a job offer for a paid position post-completion of their internship.

*Due to the high volume of applicants, we may only be able to contact qualified candidates.*

 

 

Alternatively, you can apply to this job using your profile from Indeed by clicking the button below:


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