Senior Business Operations Analyst

Who We Are

Xnurta, powered by Spark

X, is an AI-native retail media and advertising optimization platform built for brands, sellers, and agencies on Amazon and beyond. We combine multi-agent AI systems, advanced predictive analytics, and deep domain expertise to deliver unparalleled advertising performance. Our platform enables both advertisers and internal experts to orchestrate custom advertising strategies—balancing automation, human insight, explainability, and control—to maximize revenue, scale operations, and maintain transparency in an increasingly complex ad ecosystem.

• Humble Excellence – Lead with humility, execute with mastery.
• Always Learning – AI evolves fast; so do we.
• Extreme Accountability – Own outcomes end-to-end.
• Diverse Thinking – Cross-industry, cross-domain perspectives fuel innovation.
• Customer Obsession – Every model, feature, and insight must create tangible value for advertisers.

The Senior Operations Analyst plays a critical role in driving data‑driven decision‑making and operational excellence across the Customer Success and Managed Services organizations. This role partners closely with business leaders to translate complex data into actionable insights, optimize client lifecycle performance, and improve the scalability and effectiveness of operational processes. Acting as both a strategic analyst and operational problem‑solver, the Senior Operations Analyst designs and maintains performance monitoring frameworks, identifies growth and efficiency opportunities, and leads process, systems, and data governance improvements.

This position requires strong analytical expertise, cross‑functional collaboration, and a proactive, ownership‑oriented mindset to enable sustainable business growth in a global, SaaS‑driven environment.

• Build and continuously enhance the client performance monitoring framework.
• Leverage data analysis to identify business gaps and operational bottlenecks, providing actionable recommendations to leadership on topics such as customer segmentation, resource allocation and process optimization.
• Design and maintain dynamic dashboards and reports to enable real‑time visibility into overall business health.

• Support SaaS CSM team and Managed Services team to own and monitor client status.
• Analyze customer lifecycle data to identify high‑value customer profiles, growth opportunities and churn risk signals, supporting more targeted and proactive strategies.

• Diagnose inefficiencies in existing workflows and design standardized, scalable SOPs, driving adoption and continuous improvement; compare and leverage best practices from Spark
  
  XGlobal Group's global teams.
• Lead client service data governance and system optimization, improving data quality, usability and overall team productivity.
• Drive internal onboarding and adoption of key tools (e.g. Churnzero) and enable the commercial organization through training on data tools, dashboards, and reporting, driving data‑driven decision making across the team.

• Bachelor's degree or above, with 3+ years of experience in Business Analytics/ Data Analytics, Business Operations, Sales Operations; experience supporting To‑B SaaS & Agency is strongly preferred.
• Advanced proficiency in SQL/Excel/Google Sheets required.
• Experience with BI & data visualization tools (e.g., Tableau, Power BI) is preferred.
• Strong analytical thinking and business acumen, with the ability to translate complex data into clear, compelling business insights and narratives.
• Excellent cross‑functional communication and stakeholder management skills, with a proven ability to drive analysis into actionable business outcomes.
• Highly self‑driven and ownership oriented, with a strong sense of accountability and the ability to proactively identify problems and propose practical solutions.
• Professional proficiency in Chinese Mandarin strongly preferred (close collaboration with both US and China teams as needed).

• Competitive salary and benefits.
• A supportive and inclusive AI‑first culture.
• Unlimited PTO.
• The opportunity to build the future of AI‑driven retail media alongside industry‑leading talent.

JOB CODE: 1000072