обновлено 4 дня назад
Senior Data Intelligence Analyst - Customer Experience (AI)
107 900 - 151 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Intelligence Analyst - Customer Experience (AI): Building CX intelligence solutions, dashboards, and agentic AI insight agents that analyze operational data and improve customer and agent experiences with an accent on customer journey analytics, retention metrics, and AI-powered automation. Focus on identifying friction and churn risks, translating complex analysis into operational roadmaps, and establishing reliable data quality and governance.
Location: Remote-first within the United States, with salary zones covering specified U.S. markets and offices in San Jose, California, and Draper, Utah.
Salary: $107,900–$129,000, $114,200–$136,600, or $126,900–$151,800 per year depending on geographic zone.
Company
is a fintech company developing financial automation tools that help businesses manage spending and operational processes.
What you will do
- Design and develop CX data intelligence solutions, including agentic AI insight agents that monitor operational health and recommend actions.
- Analyze customer journeys, contact drivers, operational metrics, friction points, churn risks, and opportunities to improve customer and agent experiences.
- Build dashboards, reports, and self-service tools for visibility into performance, trends, and forecasted outcomes.
- Partner with CX operations, support, product, data, and engineering teams to turn insights into roadmaps, process changes, and experiments.
- Define CX health and retention metrics, including segment-level health scores and leading indicators.
- Apply AI- and LLM-powered analytics to automate classification, identify emerging themes, and reduce manual analysis while maintaining data quality and governance.
Requirements
- Must be authorized to work in the United States without requiring visa sponsorship now or in the future.
- Strong SQL skills and experience with large, complex datasets in modern data warehouse and BI environments.
- Experience building analytical models, dashboards, or intelligence solutions that create measurable impact in customer experience or operations.
- Familiarity with AI, machine learning, or LLM-based approaches and their application to operational problems.
- Ability to translate complex analysis into clear recommendations for non-technical stakeholders.
- Proactive ownership and experience collaborating across teams from insight through execution.
Culture & Benefits
- Remote-first work environment with opportunities for in-person collaboration.
- Medical, dental, and vision plans with HMO, PPO, and HDHP options.
- HSA and FSA accounts, life insurance, and short- and long-term disability coverage.
- Paid holidays, wellness days, and flexible time off.
- 401(k) retirement plan, employee stock purchase program, wellness initiatives, and employee assistance support.
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