Analytics Engineer

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week.

We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As an Analytics Engineer, you will be responsible for the following:

Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation

Perform data QA and develop automated testing procedures for use with Snowflake data models

Translate reporting, analysis, and automation requirements into data model requirements and specifications

Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases

Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth

Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions

Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA

Build and maintain user friendly documentation for data models and key metrics

Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team

What You Will Need

Required skills

3+ years of experience working as an analytics, data, or BI engineer

Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets

Experience using Python to parse, structure, and transform data

Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies

Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders

Ability to prioritize and execute tasks in a high-pressure, constantly changing environment

Ability to think creatively to solve problems

An impulse for introducing structure and simplicity into vague, complex problems

An obsession for detail and quality

An ability to identify weaknesses in data and process, and a willingness to drive improvement

A bias for action

Preferred skills

Experience with ERP and Financial Planning tools

Experience using Python to parse, structure, and transform data

Experience working with CI/CD pipelines

Experience leading or working within a scrum, sprint, or other agile framework

Past experience supporting product or product finance stakeholders

Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports

Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework)

Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)

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?

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

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $132,000 - $173,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: 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; and other company benefits.

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