SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Snowflake is seeking a Principal Value Advisor for its FinOps & Spend Analytics team. In this role, you will partner with account teams and engage directly with customers to optimize their use of Snowflake's cloud platform, blending business consulting with advanced analytics to drive customer value.
You will own consultative engagements with customers to frame and address complex business challenges through data-driven insights, focusing on cost optimization, performance enhancement, and ROI maximization. You'll analyze customer consumption data on Snowflake to provide actionable insights that attribute, control, and optimize spend across various business units, workloads, and use cases. A key part of your work involves developing and refining cloud unit economics models, defining KPIs, and supporting cost, usage, and performance benchmarks tailored to specific customer needs.
You will build and maintain sophisticated ROI and economic models to support customer budgeting, forecasting, and the rollout of new Snowflake features. You'll translate complex data insights into compelling narratives that influence strategic decisions, catering to both technical and non-technical stakeholders. This role requires an AI-native mindset—you'll treat AI as a high-trust collaborator core to how you solve problems and accelerate impact.
Snowflake values low-ego individuals who thrive in dynamic, fast-moving environments with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Finance, Economics, or related discipline (MBA or advanced certifications in analytics/business management advantageous)
- 6–10 years of relevant working experience, including 4+ years in data analytics, financial planning and analysis (FP&A), business consulting, or cloud data warehousing
- Strong background in business consulting or FP&A with proven ability to solve complex business problems using data and analytics
- Advanced proficiency in SQL and Excel for data analysis and reporting; familiarity with Python and Snowflake or other cloud-based data platforms advantageous
- Solid understanding of cloud technology architectures, particularly data warehousing; experience in cloud economics or FinOps a plus
