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Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now!

Snowflake

Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now!

full-timePosted: Feb 4, 2026

Job Description

Value Engineer – FinOps & Growth Analytics at Snowflake

Role Overview

As a Value Engineer specializing in FinOps & Growth Analytics at Snowflake, you will play a crucial role in helping our customers understand and optimize their cloud consumption. You will leverage your analytical skills and technical expertise to analyze large-scale datasets, identify cost-saving opportunities, and provide data-driven recommendations. This role requires a strong understanding of data science principles, SQL, Python, and cloud economics. While Snowflake platform expertise and FinOps skills are not initially required, you will receive comprehensive training to excel in this area.

A Day in the Life

Your typical day as a Value Engineer at Snowflake might involve:

  • Analyzing customer consumption data to identify trends and anomalies.
  • Building unit economic models to understand cost drivers and optimize resource allocation.
  • Collaborating with account teams and Sales Engineers to develop data-backed recommendations for customers.
  • Creating customer-facing deliverables such as Jupyter notebooks, dashboards, and PowerPoint presentations.
  • Presenting findings and recommendations to technical and non-technical audiences.
  • Exploring internal metadata pipelines to gain insights into compute, storage, and pipeline behaviors.
  • Staying up-to-date on the latest FinOps trends and technologies.
  • Participating in training sessions to enhance your Snowflake platform and FinOps skills.

Why Menlo Park, CA?

Menlo Park, California, is a vibrant hub for technology and innovation, offering a stimulating environment for professionals in the data science and analytics fields. Located in the heart of Silicon Valley, Menlo Park provides access to a rich network of industry experts, cutting-edge companies, and opportunities for professional growth. The city also boasts a high quality of life, with excellent schools, beautiful parks, and a thriving cultural scene. While the cost of living is high, the career opportunities and quality of life make Menlo Park an attractive location for ambitious professionals.

Career Path

The Value Engineer role in FinOps & Growth Analytics provides a solid foundation for career advancement within Snowflake. You can progress along several different paths, including:

  • Senior Value Engineer: Take on more complex projects, mentor junior team members, and develop thought leadership content.
  • Principal Value Engineer: Lead strategic engagements with key customers and drive innovation in analytical methodologies.
  • Manager, Value Engineering: Lead a team of Value Engineers and oversee the delivery of high-quality services to customers.
  • Solutions Architect: Focus on the technical aspects of Snowflake implementations and provide guidance to customers on best practices.
  • Product Management: Contribute to the development of new Snowflake features and services based on customer feedback and market trends.

Salary & Benefits

The salary range for a Value Engineer in FinOps & Growth Analytics at Snowflake typically falls between $140,000 and $220,000 per year, depending on experience and qualifications. In addition to a competitive salary, Snowflake offers a comprehensive benefits package, including:

  • Comprehensive health insurance (medical, dental, vision)
  • Paid time off (PTO) and holidays
  • Employee stock purchase plan (ESPP)
  • Retirement plan (401k) with company match
  • Life insurance and disability coverage
  • Employee assistance program (EAP)
  • Flexible spending accounts (FSA)
  • Health savings account (HSA)
  • Wellness programs
  • Professional development opportunities
  • Employee resource groups (ERGs)
  • Commuting assistance
  • Generous parental leave
  • Adoption assistance
  • Tuition reimbursement
  • Fitness center access or reimbursement

Innovation Culture

Snowflake fosters a culture of innovation, collaboration, and continuous learning. Employees are encouraged to experiment with new technologies, share their ideas, and contribute to the company's growth. The company provides ample opportunities for professional development, including training programs, mentorship opportunities, and access to industry conferences. Snowflake also values diversity and inclusion, creating a welcoming and supportive environment for all employees.

How to Apply

To apply for the Value Engineer – FinOps & Growth Analytics position at Snowflake, please visit our careers website and submit your resume and cover letter. Be sure to highlight your relevant skills and experience, and explain why you are interested in working at Snowflake.

FAQ

  1. What are the key responsibilities of a Value Engineer in FinOps & Growth Analytics? The Value Engineer analyzes customer consumption data, builds unit economic models, provides data-driven recommendations, and creates customer-facing deliverables to help customers optimize their cloud consumption.
  2. What skills are required for this role? Required skills include strong SQL and Python skills, a solid understanding of data science principles, and experience working with large-scale datasets.
  3. Is prior experience with Snowflake or FinOps required? No, Snowflake platform expertise and FinOps skills are not initially required. Comprehensive training will be provided.
  4. What is the career path for a Value Engineer at Snowflake? You can progress to Senior Value Engineer, Principal Value Engineer, Manager, Value Engineering, Solutions Architect, or Product Management.
  5. What is the salary range for this position? The salary range typically falls between $140,000 and $220,000 per year, depending on experience and qualifications.
  6. What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, an employee stock purchase plan, a retirement plan, and more.
  7. What is the work environment like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and continuous learning.
  8. Where is the position located? This position is located in Menlo Park, CA.
  9. How do I apply for this position? Visit our careers website and submit your resume and cover letter.
  10. What is FinOps? FinOps, or Cloud Financial Operations, is a cultural practice that brings financial accountability to cloud spending, enabling distributed teams to make business trade-offs between speed, cost, and quality.

Locations

  • Menlo Park, CA, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQLintermediate
  • Pythonintermediate
  • Data Scienceintermediate
  • Quantitative Analysisintermediate
  • Analytics Engineeringintermediate
  • Applied Statisticsintermediate
  • Data Modelingintermediate
  • Exploratory Analysisintermediate
  • Statisticsintermediate
  • Experimentationintermediate
  • Time Series Analysisintermediate
  • Optimization Techniquesintermediate
  • Benchmarkingintermediate
  • Unit Economics Modelingintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Presentation Skillsintermediate
  • Problem Solvingintermediate
  • Critical Thinkingintermediate
  • Cloud Computing Cost Models (AWS/GCP/Azure) - Preferredintermediate
  • Snowflake Workload Architecture - Preferredintermediate
  • FinOps Principles - Preferredintermediate
  • Query Performance Tuning - Preferredintermediate
  • Jupyter Notebooksintermediate
  • Dashboardingintermediate
  • PowerPointintermediate

Required Qualifications

  • 3-5+ years of experience in data science, quantitative analysis, analytics engineering, or applied statistics roles. (experience)
  • Strong SQL skills – ability to query, aggregate, model, and interpret large datasets. (experience)
  • Strong Python skills (pandas, numpy, data modeling, exploratory analysis). (experience)
  • Solid understanding of statistics, experimentation, time series, optimization techniques, or benchmarking. (experience)
  • Experience working with large-scale datasets from data warehouses, cloud environments, or analytics platforms. (experience)
  • Ability to translate complex data into simple unit economics and business insights. (experience)
  • Experience preparing clear executive-level narratives, dashboards, or insights reports. (experience)
  • Strong critical thinking and structured problem solving. (experience)
  • Experience presenting findings to non-technical stakeholders. (experience)
  • Ability to break complex concepts into simple explanations. (experience)
  • Strong ownership mentality, curiosity, and willingness to learn specialized Snowflake tooling. (experience)

Responsibilities

  • Analyze large-scale consumption, workload, and performance datasets to uncover insights, trends, and optimization opportunities.
  • Build unit economic models such as cost per query, cost per TB scanned, cost per user, and efficiency benchmarks across workloads.
  • Explore and interpret internal metadata pipelines created by Product/Data Science teams to understand compute, storage, and pipeline behaviors.
  • Translate quantitative findings into clear, actionable insights that help customers reduce waste and improve ROI.
  • Develop reusable analytical frameworks for consumption modeling and workload optimization.
  • Partner with account teams, Sales Engineers, and Value Engineers to support customer conversations with data-backed recommendations.
  • Build customer-facing deliverables using Jupyter notebooks, dashboards, and executive-ready PowerPoint narratives.
  • Continuously refine analytical approaches to improve accuracy, benchmarking quality, and scale of FinOps engagements.
  • Analyze customer data to identify areas for cost optimization and performance improvement.
  • Develop and maintain documentation of analytical methodologies and best practices.
  • Stay up-to-date on the latest FinOps trends and technologies.
  • Collaborate with cross-functional teams to implement FinOps best practices within Snowflake.
  • Present findings and recommendations to both technical and non-technical audiences.

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (PTO) and holidays
  • general: Employee stock purchase plan (ESPP)
  • general: Retirement plan (401k) with company match
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Flexible spending accounts (FSA)
  • general: Health savings account (HSA)
  • general: Wellness programs
  • general: Professional development opportunities
  • general: Employee resource groups (ERGs)
  • general: Commuting assistance
  • general: Generous parental leave
  • general: Adoption assistance
  • general: Tuition reimbursement
  • general: Fitness center access or reimbursement

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FinOpsData ScienceCloudAnalyticsValue EngineeringMenlo ParkCaliforniaValue EngineerGrowth AnalyticsSnowflakeSQLPythonCloud ComputingCost OptimizationData AnalysisUnit EconomicsData ModelingData VisualizationCloud ConsumptionWorkload OptimizationPerformance TuningAWSAzureGCPCloud EconomicsAnalytics EngineeringData WarehousingJupyter NotebooksDashboardsCloud ComputingDataEngineeringSales

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Snowflake logo

Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now!

Snowflake

Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now!

full-timePosted: Feb 4, 2026

Job Description

Value Engineer – FinOps & Growth Analytics at Snowflake

Role Overview

As a Value Engineer specializing in FinOps & Growth Analytics at Snowflake, you will play a crucial role in helping our customers understand and optimize their cloud consumption. You will leverage your analytical skills and technical expertise to analyze large-scale datasets, identify cost-saving opportunities, and provide data-driven recommendations. This role requires a strong understanding of data science principles, SQL, Python, and cloud economics. While Snowflake platform expertise and FinOps skills are not initially required, you will receive comprehensive training to excel in this area.

A Day in the Life

Your typical day as a Value Engineer at Snowflake might involve:

  • Analyzing customer consumption data to identify trends and anomalies.
  • Building unit economic models to understand cost drivers and optimize resource allocation.
  • Collaborating with account teams and Sales Engineers to develop data-backed recommendations for customers.
  • Creating customer-facing deliverables such as Jupyter notebooks, dashboards, and PowerPoint presentations.
  • Presenting findings and recommendations to technical and non-technical audiences.
  • Exploring internal metadata pipelines to gain insights into compute, storage, and pipeline behaviors.
  • Staying up-to-date on the latest FinOps trends and technologies.
  • Participating in training sessions to enhance your Snowflake platform and FinOps skills.

Why Menlo Park, CA?

Menlo Park, California, is a vibrant hub for technology and innovation, offering a stimulating environment for professionals in the data science and analytics fields. Located in the heart of Silicon Valley, Menlo Park provides access to a rich network of industry experts, cutting-edge companies, and opportunities for professional growth. The city also boasts a high quality of life, with excellent schools, beautiful parks, and a thriving cultural scene. While the cost of living is high, the career opportunities and quality of life make Menlo Park an attractive location for ambitious professionals.

Career Path

The Value Engineer role in FinOps & Growth Analytics provides a solid foundation for career advancement within Snowflake. You can progress along several different paths, including:

  • Senior Value Engineer: Take on more complex projects, mentor junior team members, and develop thought leadership content.
  • Principal Value Engineer: Lead strategic engagements with key customers and drive innovation in analytical methodologies.
  • Manager, Value Engineering: Lead a team of Value Engineers and oversee the delivery of high-quality services to customers.
  • Solutions Architect: Focus on the technical aspects of Snowflake implementations and provide guidance to customers on best practices.
  • Product Management: Contribute to the development of new Snowflake features and services based on customer feedback and market trends.

Salary & Benefits

The salary range for a Value Engineer in FinOps & Growth Analytics at Snowflake typically falls between $140,000 and $220,000 per year, depending on experience and qualifications. In addition to a competitive salary, Snowflake offers a comprehensive benefits package, including:

  • Comprehensive health insurance (medical, dental, vision)
  • Paid time off (PTO) and holidays
  • Employee stock purchase plan (ESPP)
  • Retirement plan (401k) with company match
  • Life insurance and disability coverage
  • Employee assistance program (EAP)
  • Flexible spending accounts (FSA)
  • Health savings account (HSA)
  • Wellness programs
  • Professional development opportunities
  • Employee resource groups (ERGs)
  • Commuting assistance
  • Generous parental leave
  • Adoption assistance
  • Tuition reimbursement
  • Fitness center access or reimbursement

Innovation Culture

Snowflake fosters a culture of innovation, collaboration, and continuous learning. Employees are encouraged to experiment with new technologies, share their ideas, and contribute to the company's growth. The company provides ample opportunities for professional development, including training programs, mentorship opportunities, and access to industry conferences. Snowflake also values diversity and inclusion, creating a welcoming and supportive environment for all employees.

How to Apply

To apply for the Value Engineer – FinOps & Growth Analytics position at Snowflake, please visit our careers website and submit your resume and cover letter. Be sure to highlight your relevant skills and experience, and explain why you are interested in working at Snowflake.

FAQ

  1. What are the key responsibilities of a Value Engineer in FinOps & Growth Analytics? The Value Engineer analyzes customer consumption data, builds unit economic models, provides data-driven recommendations, and creates customer-facing deliverables to help customers optimize their cloud consumption.
  2. What skills are required for this role? Required skills include strong SQL and Python skills, a solid understanding of data science principles, and experience working with large-scale datasets.
  3. Is prior experience with Snowflake or FinOps required? No, Snowflake platform expertise and FinOps skills are not initially required. Comprehensive training will be provided.
  4. What is the career path for a Value Engineer at Snowflake? You can progress to Senior Value Engineer, Principal Value Engineer, Manager, Value Engineering, Solutions Architect, or Product Management.
  5. What is the salary range for this position? The salary range typically falls between $140,000 and $220,000 per year, depending on experience and qualifications.
  6. What benefits does Snowflake offer? Snowflake offers a comprehensive benefits package, including health insurance, paid time off, an employee stock purchase plan, a retirement plan, and more.
  7. What is the work environment like at Snowflake? Snowflake fosters a culture of innovation, collaboration, and continuous learning.
  8. Where is the position located? This position is located in Menlo Park, CA.
  9. How do I apply for this position? Visit our careers website and submit your resume and cover letter.
  10. What is FinOps? FinOps, or Cloud Financial Operations, is a cultural practice that brings financial accountability to cloud spending, enabling distributed teams to make business trade-offs between speed, cost, and quality.

Locations

  • Menlo Park, CA, US

Salary

Estimated Salary Rangehigh confidence

140,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQLintermediate
  • Pythonintermediate
  • Data Scienceintermediate
  • Quantitative Analysisintermediate
  • Analytics Engineeringintermediate
  • Applied Statisticsintermediate
  • Data Modelingintermediate
  • Exploratory Analysisintermediate
  • Statisticsintermediate
  • Experimentationintermediate
  • Time Series Analysisintermediate
  • Optimization Techniquesintermediate
  • Benchmarkingintermediate
  • Unit Economics Modelingintermediate
  • Data Visualizationintermediate
  • Communicationintermediate
  • Presentation Skillsintermediate
  • Problem Solvingintermediate
  • Critical Thinkingintermediate
  • Cloud Computing Cost Models (AWS/GCP/Azure) - Preferredintermediate
  • Snowflake Workload Architecture - Preferredintermediate
  • FinOps Principles - Preferredintermediate
  • Query Performance Tuning - Preferredintermediate
  • Jupyter Notebooksintermediate
  • Dashboardingintermediate
  • PowerPointintermediate

Required Qualifications

  • 3-5+ years of experience in data science, quantitative analysis, analytics engineering, or applied statistics roles. (experience)
  • Strong SQL skills – ability to query, aggregate, model, and interpret large datasets. (experience)
  • Strong Python skills (pandas, numpy, data modeling, exploratory analysis). (experience)
  • Solid understanding of statistics, experimentation, time series, optimization techniques, or benchmarking. (experience)
  • Experience working with large-scale datasets from data warehouses, cloud environments, or analytics platforms. (experience)
  • Ability to translate complex data into simple unit economics and business insights. (experience)
  • Experience preparing clear executive-level narratives, dashboards, or insights reports. (experience)
  • Strong critical thinking and structured problem solving. (experience)
  • Experience presenting findings to non-technical stakeholders. (experience)
  • Ability to break complex concepts into simple explanations. (experience)
  • Strong ownership mentality, curiosity, and willingness to learn specialized Snowflake tooling. (experience)

Responsibilities

  • Analyze large-scale consumption, workload, and performance datasets to uncover insights, trends, and optimization opportunities.
  • Build unit economic models such as cost per query, cost per TB scanned, cost per user, and efficiency benchmarks across workloads.
  • Explore and interpret internal metadata pipelines created by Product/Data Science teams to understand compute, storage, and pipeline behaviors.
  • Translate quantitative findings into clear, actionable insights that help customers reduce waste and improve ROI.
  • Develop reusable analytical frameworks for consumption modeling and workload optimization.
  • Partner with account teams, Sales Engineers, and Value Engineers to support customer conversations with data-backed recommendations.
  • Build customer-facing deliverables using Jupyter notebooks, dashboards, and executive-ready PowerPoint narratives.
  • Continuously refine analytical approaches to improve accuracy, benchmarking quality, and scale of FinOps engagements.
  • Analyze customer data to identify areas for cost optimization and performance improvement.
  • Develop and maintain documentation of analytical methodologies and best practices.
  • Stay up-to-date on the latest FinOps trends and technologies.
  • Collaborate with cross-functional teams to implement FinOps best practices within Snowflake.
  • Present findings and recommendations to both technical and non-technical audiences.

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (PTO) and holidays
  • general: Employee stock purchase plan (ESPP)
  • general: Retirement plan (401k) with company match
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Flexible spending accounts (FSA)
  • general: Health savings account (HSA)
  • general: Wellness programs
  • general: Professional development opportunities
  • general: Employee resource groups (ERGs)
  • general: Commuting assistance
  • general: Generous parental leave
  • general: Adoption assistance
  • general: Tuition reimbursement
  • general: Fitness center access or reimbursement

Target Your Resume for "Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Get personalized recommendations to optimize your resume specifically for Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now!" , Snowflake

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

FinOpsData ScienceCloudAnalyticsValue EngineeringMenlo ParkCaliforniaValue EngineerGrowth AnalyticsSnowflakeSQLPythonCloud ComputingCost OptimizationData AnalysisUnit EconomicsData ModelingData VisualizationCloud ConsumptionWorkload OptimizationPerformance TuningAWSAzureGCPCloud EconomicsAnalytics EngineeringData WarehousingJupyter NotebooksDashboardsCloud ComputingDataEngineeringSales

Answer 10 quick questions to check your fit for Value Engineer - FinOps & Growth Analytics Careers at Snowflake - Menlo Park, CA | Apply Now! @ Snowflake.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.