Staff Analytics Engineer - Accounting

Snowflake; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Snowflake is seeking a Staff Analytics Engineer to join our Analytics Engineering team in Menlo Park. You will drive value by developing and maintaining the data infrastructure that fuels reporting and analysis for the Accounting organization.

You will work with SQL, Python, Snowflake, dbt, Airflow in an agile environment to build scalable data models, perform QA, and ensure single sources of truth. This role requires in-person attendance at least 3 days per week and offers opportunities to

Qualifications

• 8+ years of experience as an analytics, data, or BI engineer.
• Advanced SQL skills for large-scale relational datasets.
• Experience with Python to parse, structure, and transform data.
• Experience with MPP databases such as Snowflake, Redshift, BigQuery.
• Ability to communicate effectively with a wide range of stakeholders.
• Ability to prioritize and execute in a high-pressure, changing environment.
• Detail-focused with a drive for data quality and process improvement.
• Bias for action and a structured approach to complex problems.

Responsibilities

• Build and maintain data infrastructure for reporting and analysis.
• Perform data QA and automated testing for data models.
• Translate reporting requirements into data model specifications.
• Source data from key business systems and Snowflake databases.
• Architect flexible, performant data models for many use cases.
• Contribute to data governance, permissions, and data lineage strategies.
• Coordinate with Accounting BI and technical leads for requirements and QA.
• Create user-friendly documentation for data models and metrics.
• Identify weaknesses in data and processes and drive improvements.

Skills

Advanced SQL

Python

Data modeling

Stakeholder comms

Analytical thinking

Attention to detail

Education

Bachelor's degree

Tools

Snowflake

dbt

Airflow

Job description

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 a Staff Analytics Engineer to join our growing 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 Accounting organization and has a direct impact on Snowflake's success as a company. As a Staff 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 Accounting 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:

• 8+ 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 (bonus for Streamlit specifically)

• Experience working with CI/CD pipelines

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

• Past experience working in an accounting role, or directly supporting analysis and reporting for accounting stakeholders

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