Analytics Engineer

Snowflake•Menlo Park, CA

3d•$132,000 - $173,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

Experience with ERP and Financial Planning tools
Experience using Python to parse, structure, and transform data
Experience 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)

Responsibilities

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