Quiq

Sr Customer Success Analyst (remote)

Quiq

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Senior

Tech Stack

SQLTableau

About the role

  • Quiq, a leader in enterprise agentic AI for customer experience (CX), is looking for a dynamic and experienced Customer Success Analytics Analyst or Manager to join its growing team.
  • This pivotal role will focus on developing robust reporting methodologies, creating value-driven reports for enterprise clients, and collaborating with engineering to enhance the analytics capabilities of Quiq's cutting-edge platform.
  • The ideal candidate will have a proven track record of working directly with enterprise customers in an analytics capacity.
  • They will be responsible for defining and building out reporting templates that demonstrate the value and usage of Quiq's solutions.
  • A key aspect of this role will be translating complex data into actionable insights that help customers understand the return on their investment in Quiq's technology.
  • As well as identifying additional opportunities and use cases at our customers based on the data we are working with them on.
  • The output from this position will also inform Quiq's engineering and product teams to help define and design improvements to reporting and analytics within the Quiq platform.
  • This includes identifying key metrics, designing new reporting features, and ensuring that the product provides deep, actionable insights for customers.
  • We are looking for a data-driven individual who is passionate about customer success and has a deep understanding of how to translate data into value.
  • This role is critical to helping our enterprise customers succeed and to the continued innovation of our platform.

Requirements

  • Proven experience in a customer-facing analytics role, preferably within a B2B SaaS company.
  • Expert level knowledge of contact center operations, preferably including the performance measurement of AI and human agents.
  • Demonstrated ability to create and present value and usage-based reports to enterprise clients.
  • Strong analytical and problem-solving skills with proficiency in data analysis tools such as SQL and data visualization platforms like Tableau.
  • Experience working collaboratively with engineering, product, and customer success teams.
  • Excellent communication and presentation skills, with the ability to convey complex data in a clear and concise manner.