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R&D Finance Analyst

Snowflake

R&D Finance Analyst

Snowflake

US-CA-Menlo Park

·

On-site

·

Full-time

·

1w ago

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

We exist to improve Engineering & Product leaders’ understanding and decision-making on how to efficiently and effectively manage Snowflake’s R&D business. Our North Star is to provide trusted partnership via sharing of reliable metrics, inferring actionable insights, catalyzing strategic investment decisions and accelerating operational efficiency across R&D and Finance.

Our team operates at the intersection of strategy, finance, and R&D execution - partnering closely with Engineering & Product, Technical Program Management, Corporate Finance, Corporate Development, Human Resources, Recruiting and Snowflake’s Executive Leadership to ensure that R&D investments are efficient, effective and aligned to Snowflake’s growth priorities.

This is an early-in-career role supporting the Product Finance team, offering hands-on exposure to financial planning, analysis, and business partnership with a fast-paced R&D organization. You will help maintain forecasts and analyze performance across product lines and initiatives. We are looking for someone who is detail-oriented, eager to learn and motivated to build strong business fundamentals and acumen.

WHAT YOU WILL DO:

This role will support recurring reporting, own budgeting variance analyses, and help translate data into actionable, clear insights for R&D stakeholders. You will collaborate closely with senior analysts and cross-functional partners, developing the skills to navigate ambiguity, ask thoughtful questions, and continuously improve processes. This role is ideal for a proactive self-starter with strong analytical curiosity who wants to grow into a strategic finance partner over time.

WHAT YOU WILL NEED:

  • Bachelor’s Degree: In Finance, Economics, Data Science, Computer Science, or a related field

  • 1-3 years of experience: background in Finance, Investment Banking, Consulting, Accounting

  • Ability to translate complex data into clear, actionable insights for stakeholders at all levels

  • Proven ability in financial modeling, forecasting, and data analysis to support strategic decision making

  • Strong sense of accountability with a proactive, solutions-oriented approach to learning, improving, and driving work forward

  • AI competency and familiarity - uses AI solutions as tools to automate manual, recurring processes and deliverables

  • Prior cloud-based or SaaS company experience is 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.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

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About Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

Employees

Zürich

Headquarters

Reviews

3.6

1 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Positive performance reviews and raises

Opportunities to learn new technical skills

Career advancement with promotion

Cons

Role demotion after acquisition

Poor communication regarding promotions

Administrative inefficiencies with title updates

Salary Ranges

3,987 data points

Junior/L3

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

277 reports

$252,858

total / year

Base

$171,306

Stock

$57,741

Bonus

$23,811

$190,229

$354,557

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 88%

Negative 12%

Interview Process

1

Application Review

2

Resume Screening

3

Initial Phone Screen

4

Technical Phone Screen

5

Technical Coding Round

6

Offer Discussion

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR