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Customer Success Performance Insight Analyst (AI)

98 000 - 122 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Customer Success Performance Insight Analyst (SQL/AI): Building scalable CX reporting frameworks, data pipelines, dashboards, and AI-enabled QA systems with an accent on advanced SQL, data governance, and customer operations analytics. Focus on designing LLM workflows, analyzing customer interactions and performance data, and operationalizing insights across Customer Success, Support, Product, Engineering, and Data & Analytics.

Location: Hybrid role based in the New York City office

Salary: $98,000–$122,000 per year

Company

hirify.global provides HR and business support solutions that help companies manage operations and focus on running their businesses.

What you will do

  • Design scalable reporting frameworks, data pipelines, dashboards, exports, and data models for Customer Success Operations and cross-functional teams.
  • Define CX metrics and governance standards while maintaining data quality, documentation, reporting pipelines, and analytics platforms.
  • Analyze customer interactions, transactional data, performance signals, satisfaction trends, and operational health metrics to identify root causes and improvement opportunities.
  • Design, train, and implement LLM prompts and AI-enabled workflows for QA automation, insight generation, and customer feedback synthesis.
  • Evaluate AI-generated outputs and build feedback loops to improve chatbot, automated QA, and customer analytics systems.
  • Partner with Research, Voice of Customer, Support, Enablement, RevOps, Engineering, Data & Analytics, and CSO leadership to deliver actionable reporting and recommendations.

Requirements

  • Advanced SQL proficiency is required daily for data exploration, validation, modeling, dashboards, and reporting.
  • 3–5+ years of experience in data analytics, customer analytics, CX operations, quality assurance, or related data systems roles.
  • Experience designing scalable processes, data flows, analytics infrastructure, dashboards, reports, and data pipelines.
  • Strong data fluency, including metric definition, data quality, documentation, statistical thinking, and analytical validation.
  • Experience with BI and analytics tools such as Tableau, Looker, Sigma, or similar, plus structured and unstructured data.
  • Experience designing, training, or managing LLMs or similar AI models for customer interactions, transcripts, agent outputs, or other unstructured data; proficiency with QA platforms such as Rippit or MaestroQA is preferred.

Nice to have

  • Experience scaling CX, support, or customer operations analytics programs.
  • Experience with Snowflake, dbt, Atlan, or equivalent modern data stack tools.
  • Familiarity with knowledge bases, chatbot systems, and tools such as Zendesk, Talkdesk, Gong, Jira, or Workday.
  • Experience designing AI-native workflows, automating operational tasks, or mentoring others in data literacy.

Culture & Benefits

  • Welcoming, casual, and collaborative working environment.
  • Benefits and wellness program offerings.
  • Company retreats and opportunities to learn from leaders in the startup community.
  • Focus on diversity, inclusion, openness, integrity, ownership, and continuous improvement.

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