Full-Time

Senior Analyst

Updated on 9/3/2026

Snowflake

Snowflake

10,001+ employees

Cloud-based data warehousing and analytics platform

Compensation Overview

$138k - $172k/yr

Company Historically Provides H1B Sponsorship

Menlo Park, CA, USA + 1 more

More locations: Dublin, CA, USA

Hybrid

Three days on-site per week required.

Bachelor's, Master's

Category
Data & Analytics (2)
,
Required Skills
LLM
Python
Data Science
SQL
Data Engineering
Data Modeling
Data Analysis

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Requirements
  • A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, or equivalent experience.
  • Four to six years of experience in data analytics or applied data science.
  • Strong SQL skills, preferably with Snowflake, and proficiency in Python.
  • Experience with dbt for data modeling and transformation.
  • Experience building user-facing analytics applications, including business intelligence tools, data applications, or similar solutions.
  • Ability to engage senior stakeholders by shaping problem definitions, not just answering questions.
  • A strong track record of translating complex analyses into clear, actionable narratives for non-technical audiences.
  • Genuine interest in applying artificial intelligence tools to analytical workflows, including large language models for classification, semantic models for self-service, or emerging Snowflake Cortex Code capabilities.
  • Comfort working in a team that experiments with new tooling as part of the job.
Responsibilities
  • Work closely with Support and Services Delivery leaders to provide data and insights that drive operational decisions.
  • Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency.
  • Partner with Support Engineering, Services Delivery, Operations, and Finance to ground customer experience analytics in a holistic view of the post-sale customer experience.
  • Build fluency in the underlying data models, metric definitions, and pipelines that drive Support and Services Delivery reporting.
  • Leverage AI-driven interfaces, including semantic models, Cortex Analyst, and Snowflake Cortex Code, to help customer experience managers and operational teams answer their own data questions and reduce turnaround time for ad hoc requests.
  • Contribute to team best practices, documentation, and analytical standards.
  • Shape product and operational strategy through analytics embedded at the senior leadership level.
  • Reduce analytical bottlenecks across Support and Services Delivery.
  • Apply Snowflake's AI capabilities, including Cortex Code, to transform unstructured support data into durable operational metrics.
  • Define analytical standards that raise the quality of work across the broader Customer Experience Analytics team.

Snowflake provides a cloud-based data platform called the Snowflake Data Cloud that lets customers store, process, and analyze large amounts of data. It operates on a pay-per-use model, charging for data stored and for computing power used. The platform is designed to be easy to use and handles many data types, supporting use cases from data warehousing and data lakes to data engineering, data science, and data applications. Snowflake differentiates itself with a cloud-native architecture that separates storage and compute, enabling on-demand scaling for diverse workloads across organizations, from startups to large enterprises. The company’s goal is to offer a scalable, flexible, and accessible data platform that unifies storage, processing, and analytics in one service.

Company Size

10,001+

Company Stage

IPO

Headquarters

Menlo Park, California

Founded

2012

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 fiscal 2026 product revenue reached $1.09 billion, up 32% year over year.
  • More than 654 customers now spend over $1 million annually on Snowflake.
  • August 2026 dynamic model routing promises up to 3x token efficiency for AI workloads.

What critics are saying

  • Snowflake faces multidistrict data-breach litigation in Montana, with settlement pressure through 2026.
  • March 2026 cuts removed roughly 70 documentation roles, signaling continuing reorganization and execution strain.
  • Databricks and hyperscaler data stacks attack Snowflake's premium with cheaper lakehouse alternatives.

What makes Snowflake unique

  • Snowflake's consumption platform monetizes compute, storage, and transfer without long fixed subscriptions.
  • Cortex AI Gateway routes tasks across approved models, preserving governance inside customer data.
  • Snowflake Marketplace turns pre-committed capacity into procurement leverage for partners like CrowdStrike.

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Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-2%

2 year growth

-2%
Yahoo Finance
Sep 5th, 2026
Morgan Stanley raises Snowflake price target to $470 on AI-powered growth

Morgan Stanley analyst Sanjit Singh raised his price target on Snowflake to $470 from $300, maintaining an "Overweight" rating. The cloud data company is valued at $106 billion market cap, with shares trading at $356. The upgrade follows Snowflake's third consecutive quarter of accelerating revenue growth. Product revenue reached $1.49 billion, up 37% year over year, beating guidance and consensus estimates. The company added 692 net new customers, up 32% year over year, bringing its total to 14,554. Customers spending over $1 million annually increased 27% to 828. Singh attributed the momentum to an "AI-powered growth flywheel" driven by Snowflake's CoCo and CoWork tools. Management estimates AI products contributed roughly half of the quarter's growth acceleration.

Yahoo Finance
Sep 3rd, 2026
Salesforce rises 2.75% to $264 as Snowflake's AI-driven revenue surge validates enterprise spending

Salesforce shares rose 2.75% to $264 on Thursday following Snowflake's strong quarterly results. The cloud-data company reported 37% growth in product revenue, with artificial intelligence driving roughly half of the acceleration. Salesforce's second-quarter revenue increased 11% to $11.3 billion. Current remaining performance obligations climbed 14% to $33.5 billion. The company's Agentforce and Data 360 products generated nearly $3.9 billion in annual recurring revenue, including more than $1.5 billion from Agentforce. At $264, Salesforce trades 22% below its estimated fair value of $339. The combined AI and data run rate represents approximately 8.6% of annualised quarterly revenue. Snowflake's performance suggests enterprise AI spending is materialising, though Salesforce must demonstrate it can capture similar budgets.

Yahoo Finance
Sep 2nd, 2026
Snowflake beats Q2 estimates with $1.55B revenue, up 35% year-on-year, stock surges 22%

Snowflake reported second-quarter revenue of $1.55 billion, beating analyst expectations of $1.48 billion and marking a 35.1% year-on-year increase. The cloud data platform provider's non-GAAP earnings per share of $0.62 also surpassed consensus estimates of $0.45 by 38.7%. The company's adjusted operating income reached $237 million, exceeding forecasts of $185.9 million. Following the results, Snowflake's stock jumped 22.3%. The company now serves 828 customers paying more than $1 million annually and maintains a net revenue retention rate of 126%. Snowflake guided third-quarter product revenue to $1.59 billion at the midpoint. Despite strong performance, the company's free cash flow margin declined to 5.4% from 16.7% in the previous quarter. Analysts project 26.3% revenue growth over the next 12 months.

PR Newswire
Sep 2nd, 2026
Sayari rebuilds Commercial World Model on Snowflake, unlocking 75% of archive and cutting costs by 50%

Sayari has rebuilt its Commercial World Model on Snowflake's AI Data Cloud, making over a decade of deep web records accessible for AI analysis. The platform now processes 12 billion records from 715 sources across 250 jurisdictions, including roughly 1 billion original documents such as corporate filings and shipping records. The rebuild enables Sayari to capture up to 75% of previously unreadable information from its archive using AI techniques. The company expects the migration to reduce data infrastructure costs by more than 50%. Sayari collects data directly from official sources in over 20 languages, much of which exists nowhere else in accessible form. The Commercial World Model helps customers identify company ownership, detect supply chain risks, and surface risk intelligence patterns. Sayari's clients include Fortune 100 companies, US Customs and Border Protection, and UK HM Revenue & Customs across more than 35 countries.

Yahoo Finance
Sep 1st, 2026
Cantor raises Snowflake price target to $405 but expects narrower beat than Q1

Cantor Fitzgerald raised Snowflake's price target to $405 from $282 whilst maintaining an Overweight rating ahead of the company's fiscal Q2 2027 earnings on 2 September. However, analyst Thomas Blakey expects a narrower beat than last quarter. Snowflake's fiscal Q1 2027 showed product revenue up 34% year-over-year to $1.3 billion, with net revenue retention reaching 126%. AI capabilities were used by more than 13,600 accounts, whilst Cortex Code had around 7,100 accounts. Cantor projects product revenue will beat guidance by 3%, compared to last quarter's 5.5% beat. The concern is whether incremental AI consumption can offset cost optimisations as customers consolidate spending.