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CX Data Intelligence Analyst Intern (Remote - US)

Jobgether
United States only

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a CX Data Intelligence Analyst Intern in United States.

This internship offers a unique opportunity to gain hands-on experience in customer experience (CX) data analysis within a fast-paced, collaborative SaaS environment. You will work alongside experienced professionals to analyze key CX metrics, map customer journeys, and build dashboards that drive data-informed decisions. The role provides exposure to advanced analytics tools, AI technologies, and multilingual customer engagement strategies. Interns will collaborate across departments, support strategic initiatives, and develop practical skills in behavioral analytics, data visualization, and cross-functional teamwork. This position is ideal for students seeking to build a strong foundation in data-driven decision-making and CX insights.

Accountabilities:

  • Track, visualize, and interpret key CX metrics such as NPS, CSAT, OSAT, CES, CLTV, churn rates, adoption curves, and renewal trends.
  • Collaborate with the CX team to design behavioral tracking mechanisms supporting continuous improvement.
  • Map and analyze customer touchpoints to identify friction points and recommend data-driven enhancements.
  • Assist in building and maintaining dashboards and recurring reports to provide visibility into CX performance.
  • Partner with internal teams to gather frontline insights and translate them into actionable strategies.
  • Support exploratory projects leveraging AI to automate insights and improve customer engagement.
  • Contribute to initiatives enhancing the experience for multilingual customers.

Requirements

  • Pursuing a bachelor’s or master’s degree in Data Science, Business, Analytics, Computer Science, or a related field.
  • Strong interest in data analysis, customer experience, and metrics-driven decision-making.
  • Familiarity with survey design, journey mapping methodology, and SaaS platforms.
  • Working knowledge of Microsoft Suite, including Excel, and other advanced data tools.
  • Excellent written and verbal communication skills with the ability to present insights effectively.
  • Analytical mindset, technical curiosity, and ability to thrive in a fast-paced, collaborative environment.
  • Nice-to-have: previous internship experience, exposure to AI tools, or experience with data visualization platforms.

Benefits

  • Hands-on learning experience in CX analytics and data-driven decision-making.
  • Mentorship and collaboration with experienced professionals.
  • Exposure to AI and analytics tools used in a SaaS environment.
  • Flexible remote or hybrid working arrangements.
  • Opportunities to develop cross-functional teamwork and communication skills.
  • Professional development and potential for career growth within the organization.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Entry-level

Location requirements

Hiring timezones

United States +/- 0 hours
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