Oportun

Oportun

Bilingual English and Spanish Member Loyalty Representative R14102

Miami, FL · Full-time

Sponsorship not specifiedDetected 14 days ago
BudgetingCustomer Support

About the role

  • Oportun is currently seeking qualified candidates with customer service, cashier, sales, or hospitality experience to work Full-Time.
  • Our Member Loyalty Representatives are passionate about listening, helping, and connecting with people at all touchpoints, such as in our stores and in the communities around our stores through personal outreach activities.

Responsibilities

  • With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future.

Requirements

  • Must be bilingual (English/Spanish).
  • Must be outgoing, sales-focused, and enjoy speaking with people.
  • Must have regular, reliable, and predictable attendance to support store operations.
  • Must be willing and able to work outdoors year-round to identify new sales opportunities and promote company products and services through designated outreach activities.
  • Ability to lift and/or move objects up to 25 pounds, as needed.
  • Basic computer skills and ability to operate office equipment such as, phones, scanners, and iPads.

Compensation

  • Since inception, Oportun has provided more than $21.3 billion in responsible and affordable credit, saved its members more than $2.5 billion in interest and fees, and helped its members set aside an average of more than $1,800 annually.

Benefits

  • Building relationships with local businesses (e.g., mechanic shops, dental offices, furniture stores) and speaking with local business owners and their employees about how Oportun's services can help their customers.

Company info

  • At Oportun, we consider our customers to be our members, and the primary focus of our Member Loyalty Representatives is to create and generate a rewarding and unique member service experience.

This listing is sourced directly from Oportun's careers page and normalized into a canonical job model.