Senior Data Analyst

Build the future of the AI Data Cloud. Join the Snowflake team.

We're expanding our Support Analytics team and seeking a Sr. Data Analyst to pioneer AI-powered transformation of enterprise support. In this role, you'll leverage cutting-edge AI/ML and analytics to unlock insights from rich support data, driving decisions that shape product strategy and customer experience.

Reporting to the Senior Manager of Support Analytics, you'll have the opportunity to pursue ambitious analytical projects using state-of-the-art AI tools like Snowflake Cortex. You'll build scalable solutions that embed insights into stakeholder workflows, revolutionize support operations, and define the future of how enterprises leverage AI for customer success.

Core Responsibilities

Strategic Data Analysis & Insights 

• Engage with stakeholders to shape problem definition and success metrics, translating business challenges into effective analytics approaches

• Analyze enterprise support KPIs including resolution times, CSAT scores, and other key support metrics, while conducting focus groups with support engineers to gather qualitative insights

• Provide detailed data narratives, identify key issues, and forecast trends to present to senior leadership stakeholders to support strategic decision-making

• Collaborate with business partners, data analytics engineering, and BI developers to deploy dashboards and self-service analytics tools

Technical Leadership & Cross-Functional Impact

• Own business domain expertise to guide leadership in framing challenges and defining rigorous success metrics, ensuring measurable organizational outcomes

• Spearhead product improvements through data-driven insights, proactively identifying high-impact opportunities and driving implementation with Product and Engineering teams

• Drive technical leadership and innovation in enterprise AI applications - pioneering cutting-edge methodologies in agentic workflows, retrieval augmented generation (RAG), and evaluation-driven development (EDD)

• Lead enterprise-scale data architecture and ML solutions, combining technical excellence and domain expertise to build next-generation analytics capabilities - from automated insight generation to self-service applications that transform how the business operate

Required Qualifications

Technical Expertise

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field (or equivalent experience).

• 7+ years of experience in data analytics, AI/ML applications, or enterprise analytics.

• Expertise in SQL (Snowflake), Python (Pandas, NumPy).

• Familiarity with workflow orchestration tools (DBT, Airflow).

• Proficiency in cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks.

• Hands-on experience with AI/ML methodologies including classification, clustering, time-series forecasting, and NLP.

• Proficiency in data visualization tools (Streamlit, Tableau) for creating self-service analytics solutions.

Nice to Have 

AI/ML Knowledge and Implementation

• Build automated insight extraction workflows using AI agents to analyze support cases, customer surveys, and engineering Jiras - leveraging state-of-the-art models for sentiment analysis, product gap identification, and complex classification tasks

• Implement advanced topic modeling using BERTopic (UMAP + HDBSCAN with BERT embeddings) enhanced by fine-tuning with generative models

• Create self-service Streamlit applications enabling business users to access automated analytics workflows and derive insights independently

• Partner with analytics engineers to build end-to-end data pipelines for cleaning, embedding, summarization, and insight extraction from multiple data sources

Analytics & Business Impact

• Proven track record of delivering high-impact AI/ML-driven insights at speed

• Experience designing and executing controlled experiments to validate business hypotheses

• Strong understanding of customer support metrics, KPIs, and cloud computing analytics

• Track record of translating complex analyses into actionable business outcomes

• Experience with modern BI tools and visualization techniques for stakeholder consumption

Leadership & Communication

• Outstanding communication skills with proven ability to influence senior stakeholders

• Strong project management skills prioritizing rapid, iterative delivery of business value

• Demonstrated experience leading cross-functional technical initiatives

• High emotional intelligence with a customer-centric mindset

• Deep understanding of AI ethics and responsible implementation in enterprise contexts

Impact You'll Have

• Shape product strategy and customer experience through pioneering AI/ML analytics in enterprise support

• Build self-service tools and applications that embed critical insights into stakeholder workflows

• Drive large-scale analysis of rich support conversation data in a dynamic enterprise tech environment

• Leverage Snowflake's cutting-edge features (such as Cortex) including private preview innovations to implement groundbreaking AI solutions

• Lead innovative projects from theory to execution, backed by enterprise-grade LLM capabilities and resources

• Transform how leaders and product teams make decisions through automated, data-driven insights

What We Offer

• Unique opportunity to work with extensive enterprise support data in a rapidly evolving tech landscape

• Access to state-of-the-art tools and compute resources to pursue ambitious projects

• Freedom to think big and execute independently on high-impact theories and solutions

• Collaborate with world-class teams pushing the boundaries of enterprise AI/ML applications

• Flexible PTO and remote-first work environment

• Competitive compensation and comprehensive benefits package

• Investment in your professional growth and development

• Chance to shape the future of how enterprises leverage AI in technical support

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?