Snowflake03.08.2026

Senior Analyst, Customer Experience Analytics

Зарплата не указана

РЫНОК

9 167 ₽медиана по профессии

BI Analyst/Developer · 19 вакансий с указанной зарплатой

5 250половина предложений: 6 177–11 400175 000

Работодатель не указал зарплату — сравните с рынком сами.

Полная занятостьUS-CA-Menlo Park

Обязанности

01Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions
02Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately
03Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to ensure CX analytics are grounded in a holistic view of the post-sale customer experience
04Know the Data Inside and Out: Build strong fluency in the underlying data models, metrics definitions, and pipelines (SQL, dbt, Snowflake) that drive Support and Services Delivery reporting
05Enable Self-Service Through AI: Leverage AI-driven interfaces (semantic models, Cortex Analyst, Snowflake Cortex Code) to help CXE managers and operational teams answer their own data questions - reducing turnaround time on ad-hoc requests
06Raise the Bar Across the Team: Contribute to team best practices, documentation, and analytical standards. Elevate the quality and consistency of deliverables across the analytics org

01Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field (or equivalent experience)
024-6 years of experience in data analytics or applied data science
03Strong SQL skills (Snowflake preferred) and proficiency in Python
04Experience with dbt for data modeling and transformation
05Experience building user-facing analytics applications (BI tools, data apps or similar)
06Proven ability to engage senior stakeholders - shaping problem definitions, not just answering questions
07Strong track record of translating complex analyses into clear, actionable narratives for non-technical audiences
08Genuine interest in applying AI tools to analytical workflows - LLMs for classification, semantic models for self-service, or emerging Snowflake Cortex Code capabilities
09Comfort working in a team that experiments with new tooling as part of the job