Customer Success Analyst

The Customer Success Analyst is a high-impact, customer-facing team member dedicated to ensuring our clients' end-users confidently adopt and realize maximum value from our Vision AI solutions.

This role directly bridges the gap between usage data and user behavior.

By combining hands-on data analysis with direct client engagement, you will proactively guide users through onboarding, deliver engaging enablement training, and run targeted outreach campaigns to turn struggling users into product champions.

• Lead interactive training sessions, workshops, and live webinars to onboard and upskill client end-users.
• Conduct direct adoption check-ins with key client user groups to gather qualitative feedback and address usage blockers.
• Serve as the primary customer-facing specialist for functional product questions, best practices, and daily workflow optimization.

• Identify low-engagement user segments through data and execute direct outreach campaigns (emails, virtual drop-ins) to re-engage them.
• Create, host, and distribute localized educational content, video walkthroughs, and "how-to" quick guides directly to client teams.
• Partner with client-side champions to establish internal peer-enablement programs.

• Co-present adoption insights and usage trends alongside Customer Success Managers during client meetings and Quarterly Business Reviews (QBRs).
• Act as the customer's advocate internally, translating direct end-user feedback into structured feature requests for our Product and Engineering teams.

• Monitor user engagement KPIs and build easily digestible usage dashboards.
• Translate complex system analytics into clear, value-focused stories that show clients exactly how much efficiency they are gaining.
• 1–3 years of experience in a Customer Success, Retail Management or Training and Enablement role.
• Strong presentation and facilitation skills—highly comfortable commanding a room and explaining technical concepts simply to non-technical users.
• High proficiency in organizing and interpreting usage metrics using tools like Microsoft Excel or Power BI.
• Exceptional written communication skills for drafting clear, friendly, and structured user guides.
• A proactive, empathetic, and problem-solving mindset.
• Willingness to travel is essential for this role. There could be up to 50% travel to customer sites.
• Experience working in a SaaS, Vision AI, or retail technology environment is preferred
• Prior experience developing insights and best practice recommendations from raw data and trend analysis is advantageous.