Customer Loyalty and Analytics Intern

arrivia. Go far in the travel industry.Scottsdale, AZ
9dOnsite

About The Position

Turn Data into Impact at arrivia ! Are you a data-driven student who gets excited about finding patterns, building dashboards, and telling stories through numbers? As a Customer Loyalty and Operational Excellence Analytics Intern at arrivia you'll be able to be hands-on work that will directly influence how we understand and serve our members. At this internship, you'll be contributing to real analytical initiatives that shape customer experience strategy, reduce churn, and drive measurable business outcomes. At arrivia , we’re transforming the travel industry. As a Customer Loyalty & Analytics Intern, you’ll work alongside experienced analysts and leadership, gaining exposure to the full analytics cycle - from raw data to executive-ready insights - within a dynamic travel-tech environment. Why arrivia? Real-World Impact: Your analysis will influence real decisions around customer experience and business operations — not just sit in a folder. Hands-On Experience: You’ll be an active contributor to the analytics team, not a passive observer. Direct Mentorship: Work alongside experienced analysts and leaders who are invested in your growth. Career Building: Walk away with portfolio-ready work, applied skills in BI tools and data analysis, and a clear view of what a career in analytics looks like. Dynamic Travel-Tech Environment: Experience the energy of an industry built on innovation, with a company that’s constantly pushing boundaries. On-Site Collaboration: Build real relationships and gain in-office experience at our Scottsdale, AZ headquarters. About arrivia : At arrivia , we're dedicated to enhancing brands through the power of travel. With a rich history stemming from the merger of ICE, SOR Technology, and WMPH Vacations, we bring over 55 years of combined expertise to the table. Our global team, spanning offices across the U.S. and worldwide, is united by a passion for travel and a commitment to diversity. We're building a customer-centric culture, focused on delivering exceptional travel experiences to our members at every stage of their journey. Join us as we continue to innovate and lead change in the travel industry. Our Values: Stay Curious: Embrace challenges and foster continuous learning. Keep it Real: Build trust through transparent communication. Own it: Take initiative and drive impact. Win Together: Cultivate a collaborative and inclusive environment.

Requirements

  • Currently pursuing a degree in Business Analytics, Economics, Statistics, Data Science, Engineering, or a related quantitative field.
  • Advanced proficiency in Microsoft Excel — pivot tables, data manipulation, and analytical modeling are your playground.
  • Exposure to Power BI, Tableau, or other BI/visualization tools.
  • Familiarity with SQL or basic data querying is a plus.
  • Strong communication skills — you can translate numbers into clear, compelling narratives for both technical and non-technical audiences.
  • Demonstrated analytical ability through academic projects, coursework, or prior internship experience.
  • Self-starter with strong organizational skills and the ability to manage multiple tasks.
  • Available to work up to 40 hours per week for 10 weeks on-site in Scottsdale, AZ.

Responsibilities

  • Customer Loyalty Deep-Dive: Analyze customer behavior, booking trends, and contact drivers to surface opportunities that strengthen loyalty and reduce attrition.
  • Dashboard & Reporting Support: Contribute to the development and enhancement of performance dashboards covering retention, engagement, customer experience, and operational efficiency.
  • Self-Service & Automation Analysis: Evaluate self-service initiatives and automation opportunities, quantifying business impact and call reduction potential.
  • Insight Storytelling: Prepare analytical summaries and visualizations that support leadership reviews, operational planning, and strategic decision-making.
  • Continuous Improvement Projects: Collaborate with analysts and leaders on customer journey optimization and labor cost performance initiatives.
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