Staff Analyst, Snowflake
GTM Analytics
$195-256.2k
+ Snowflake’s bonus and equity plan
3-5 days a week in office
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$195-256.2k
+ Snowflake’s bonus and equity plan
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- Technical Excellence: 8+ years of experience in Analytics/BI, with a heavy emphasis on advanced SQL and hands-on dbt proficiency for building production-grade data pipelines
- AI & App Literacy: Experience building data structures for AI consumption and a working knowledge of Python for data manipulation or building interactive apps (e.g., Streamlit)
- Domain Expertise: Strong familiarity with Professional Services or Consulting operations and the CRM/PSA ecosystem (e.g., Salesforce). You understand how to measure utilization, project margins, and delivery milestones
- Execution Mindset: A proven track record of taking a project from a vague business request to a fully automated, production-ready analytical solution
- Strong Communication: The ability to explain technical data concepts to business stakeholders and collaborate effectively across the Analytics Engineering and Product teams
What the job involves
- Snowflake is hiring a Staff Analyst, GTM Analytics within the Data Analytics and AI org (DAA). In this role, you will be the lead technical execution partner for the Services Delivery (SD) organization
- You will own the development of core data models, high-impact reporting, and the implementation of AI-driven analytical tools that provide deep visibility into project health and delivery performance
- You will be responsible for building the "plumbing" that makes our data accessible, reliable, and AI-ready for our global delivery teams
- Build the Foundation: Develop and maintain core analytical data models (via dbt) for Services Delivery. You will ensure that datasets for project tracking, resource utilization, and financial metrics are accurate, optimized, and governed
- Operationalize AI Workflows: Implement AI-assisted "skills" and self-service solutions that help business users interact with data naturally. You will transform complex datasets into AI-friendly structures that power internal agents and automated summaries
- Deliver High-Impact Analytics: Create and own the suite of dashboards (via Sigma and Streamlit) used by Services leadership to track delivery speed, quality, and resource staffing pipelines
- Translate Logic to Code: Partner with Services Delivery stakeholders to document business rules and translate them into technical requirements and scalable data models
- Guardian of Data Quality: Perform deep-dive reconciliations between CRM/PSA systems (Salesforce) and internal data models to ensure that our reporting is the undisputed "Source of Truth."
- Enable Self-Service: Act as a technical mentor to the broader team and business users, driving adoption of new AI tools and ensuring that delivery leads can get the answers they need without manual intervention
- Collaborate Across DAA: Work closely with Analytics Engineering to ensure our Services data models are integrated with the broader GTM data infrastructure and follow Snowflake’s best practices
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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