tpreducationllc

tpreducationllc

Implementation and Client Analytics Manager

Remote, US

Sponsorship not specified$80k-$90kDetected 40 days ago
Data AnalysisData VisualizationProject ManagementSalesforceExcelCustomer SuccessCustomer SupportLeadershipCommunicationPublic SpeakingOrganizational Skills

About the role

  • About The Princeton Review The Princeton Review is a leading tutoring, test prep, and college admission services company.
  • The Princeton Review is headquartered in New York, NY.
  • Follow the company on LinkedIn, YouTube and Instagram.

Responsibilities

  • Lead onboarding, implementation, and technical support efforts for institutional clients adopting Tutor.com services.
  • Manage implementation timelines, launch activities, training programs, and client communications to ensure successful deployments.
  • Build strong relationships with institutional stakeholders while serving as a trusted advisor throughout the client lifecycle.
  • Partner with Product, Engineering, Operations, and Customer Success teams to resolve technical issues and improve implementation processes.
  • Develop client-facing reports, dashboards, visualizations, and presentations that communicate program effectiveness, ROI, and student impact.
  • Translate complex datasets into actionable insights that support strategic decision-making for both clients and internal stakeholders.
  • Support development of scalable reporting processes, analytics best practices, and data governance standards.
  • Collaborate across teams to improve reporting workflows, implementation processes, and client-facing tools.
  • Interested in helping institutional partners across the country improve student outcomes through technology, data, and strategic program implementation?
  • This role combines technical implementation leadership, client relationship management, and data analytics expertise to support successful tutoring program launches and ongoing institutional success.

Requirements

  • You have a bachelor's degree and 3-5 years of experience in implementation, project management, customer success, client services, or a related field.
  • You have experience managing multiple client implementations simultaneously while maintaining exceptional customer service.
  • You are comfortable working with data and reporting tools, including advanced Excel functions and SQL.
  • You can interpret complex datasets and present insights clearly to both technical and non-technical audiences.
  • You have strong written, verbal, and presentation skills and are comfortable leading client-facing discussions.
  • You are highly organized, detail-oriented, and capable of managing multiple priorities in a fast-paced environment.
  • The ideal candidate enjoys solving complex problems, working cross-functionally, analyzing large datasets, and translating data into actionable recommendations for both technical and non-technical audiences.

Nice to have

  • Experience with Salesforce, Power BI, Tableau, SSRS, or similar reporting and visualization platforms is strongly preferred.

Compensation

  • The Princeton Review and Tutor.com offer a competitive salary which commensurates with experience and skills.

Benefits

  • Support client integrations with Learning Management Systems (LMS), authentication platforms, and student information systems.

Company info

  • The company's Tutor.com brand is one of the largest online tutoring services in the U.S. It comprises a community of thousands of tutors who have delivered more than 22 million one-to-one tutoring sessions.

Equal opportunity

  • Employer
  • This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
  • This employer is required to notify all applicants of their rights pursuant to federal employment laws.
  • For further information, please review the Know Your Rights notice from the Department of Labor.

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