Snowflake · 6 hours ago
Value Engineer – FinOps & Growth Analytics
Boston, MA
Full-time
Onsite
Mid, Senior Level
$76K/yr - $100K/yr
3+ years expSnowflake is a company focused on empowering enterprises and individuals through innovative technology and collaboration. They are seeking a highly analytical FinOps Analytics Consultant to analyze large-scale datasets, model cloud consumption behaviors, and provide actionable insights for customers. This role emphasizes strong SQL and Python skills to drive data-driven decision-making and optimize customer outcomes.
AnalyticsArtificial Intelligence (AI)Cloud Data ServicesData ManagementEnterprise SoftwareSoftware
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, 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
Qualification
Required
3–5+ years of experience in data science, quantitative analysis, analytics engineering, or applied statistics roles
Strong SQL skills — ability to query, aggregate, model, and interpret large datasets
Strong Python skills (pandas, numpy, data modeling, exploratory analysis)
Solid understanding of statistics, experimentation, time series, optimization techniques, or benchmarking
Experience working with large-scale datasets from data warehouses, cloud environments, or analytics platforms
Ability to translate complex data into simple unit economics and business insights
Experience preparing clear executive-level narratives, dashboards, or insights reports
Strong critical thinking and structured problem solving
Experience presenting findings to non-technical stakeholders
Ability to break complex concepts into simple explanations
Strong ownership mentality, curiosity, and willingness to learn specialized Snowflake tooling
Preferred
Snowflake workload architecture
FinOps principles and cloud economics
Cloud computing cost models (AWS/GCP/Azure)
Query performance tuning concepts
Data platform performance engineering
Benefits
Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending & health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits
Company
Snowflake
Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud.
5001-10000 employees
H1B Sponsorship
Snowflake has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (428)
2024 (281)
2023 (154)
2022 (182)
2021 (113)
2020 (98)
Funding
Current Stage
Public CompanyTotal Funding
$2.03BKey Investors
Sequoia CapitalICONIQ GrowthAltimeter Capital
2022-04-19Post Ipo Equity· $621.46M
2020-09-16IPO
2020-02-07Series G· $479M
Leadership Team
Sridhar Ramaswamy
Chief Executive Officer
Benoit Dageville
Snowflake Co-founder, President of Product
Recent News
2026-01-13
2026-01-13
2026-01-12
Company data provided by crunchbase