Are you passionate about blending business consulting with advanced analytics? We’re seeking a Senior Value Engineer to join our FinOps & Spend Analytics team at Snowflake. You’ll collaborate with account teams and engage directly with customers to optimize their use of Snowflake’s cloud platform.

The ideal candidate brings:

• Analytical Skills: Proficiency in Excel, SQL, and Python to deliver actionable insights.
• Technical Architecture Understanding: Familiarity with cloud-based systems, ideally Snowflake, to understand and communicate technical aspects in addition to financial optimizations.
• Consulting or Sales Experience: Background in financial planning and analysis (FP&A), business/IT consulting, or consultative sales to engage and drive customer value.

Experience in FP&A and business consulting paired with strong analytical and technical skills, will be key to success in this role.

KEY RESPONSIBILITIES:

• Consultative Engagements: Partner with account teams and customers to frame and address complex business challenges through data-driven insights, focusing on cost optimization, performance enhancement, and ROI maximization.
• Advanced Data Analysis: Analyze customer consumption data on Snowflake to provide actionable insights that attribute, control, and optimize spend across various business units, workloads, and use cases.
• Cloud Economics & FinOps: Develop and refine cloud unit economics models, define KPIs, and support cost, usage, and performance benchmarks tailored to specific customer needs.
• Strategic ROI Modeling: Build and maintain sophisticated ROI and economic models to support customer budgeting, forecasting, and the rollout of new Snowflake features.
• Data Storytelling: Translate complex data insights into compelling narratives that influence strategic decisions, catering to both technical and non-technical stakeholders.

QUALIFICATIONS:

• Education: A Bachelor’s degree in a relevant field, such as Computer Science, Finance, Economics, or a related discipline. Advanced degrees or certifications in analytics or business management (e.g., MBA) are advantageous.
• Work Experience: 6-10 years of relevant working experience, including 4+ years focused in data analytics, financial planning and analysis (FP&A), business consulting, or cloud data warehousing.
• Business Consulting/FP&A Expertise: A strong background in business consulting or FP&A, with a proven ability to solve complex business problems using data and analytics. 
• Technical Proficiency: Advanced skills in SQL and Excel for data analysis and reporting – familiarity with Python and Snowflake or other cloud-based data platforms will be an advantage.
• Cloud Technology Acumen: A solid understanding of cloud technology architectures, particularly in data warehousing, and experience in cloud economics or FinOps will be a plus.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.