[US] Subscriber Success Operations Intern
Benchmark Gensuite® · Mason, OH · 1 mo ago
HybridInternship
About the role
We are seeking a highly analytical and detail-oriented Subscriber Success Operations Intern to join our team for a 10–12 week internship, with the potential to continue part-time thereafter. This role is ideal for students interested in the intersection of data analytics, customer success strategy, and AI-driven insights within a SaaS environment.
Responsibilities
- Support the development and refinement of customer health scorecards to monitor engagement, satisfaction, and risk signals
- Analyze customer data to generate actionable account insights and identify trends impacting retention and growth
- Aid in building and improving reporting dashboards and recurring performance metrics
- Contribute to AI-driven risk tracking initiatives, helping identify at-risk accounts and recommend proactive actions
- Help standardize and document customer success processes to improve scalability and consistency
- Collaborate with cross-functional teams (Customer Success, Product, Operations) to support strategic initiatives
- Conduct data validation and ensure accuracy and integrity across reporting systems
- Prepare insights, summaries, and presentations for internal stakeholders
Qualifications
- Currently pursuing a Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, or a related field
- Strong analytical and problem-solving skills with attention to detail
- Experience or coursework in data analysis, reporting, or business intelligence tools
- Familiarity or interest in AI, machine learning, or data-driven decision-making
- Proficiency in Microsoft Excel (required); experience with tools like Power BI, Tableau, or similar is a plus
- Strong communication skills, with the ability to translate data into insights
- Ability to manage multiple tasks and work in a fast-paced environment
- Interest in SaaS business models and customer success strategy preferred
- Duration: 10–12 weeks (Internship)
- Available to work 40–45 hours per week during the internship
- Potential for part-time continuation following the internship
- Expected graduation: Spring / May 2027
- Hands-on experience with customer success operations and analytics in a SaaS company
- Exposure to AI-driven strategies for customer retention and risk management
- Opportunity to work on real datasets and influence decision-making processes
- Cross-functional collaboration and mentorship from experienced professionals