Snowflake Computing

Staff Analytics Engineer - Accounting

Snowflake Computing$150K — $180K *
Legal & Accounting
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience as an analytics, data, or BI engineer
  • Advanced SQL skills for large-scale relational datasets
  • Proficient with Python for data parsing and transformation
  • Familiarity with MPP databases like Snowflake, Redshift, or BigQuery
  • Strong communication skills with diverse stakeholders
  • Ability to manage competing priorities in dynamic environments
  • Detail-oriented with a focus on process improvement

Responsibilities

  • Develop and maintain data infrastructure for reporting and analysis
  • Perform data QA and automated testing for Snowflake models
  • Translate analysis requirements into data model specifications
  • Collaborate with IT and technical teams to source critical data
  • Architect flexible data models supporting various business use cases
  • Contribute to data governance strategies including security and lineage
  • Meet regularly with stakeholders to define requirements and project plans
  • Document data models and key metrics for user reference
  • Identify and implement process improvements within the team

Benefits

  • Remote work flexibility with in-person attendance required 3 days a week
  • Exposure to a fast-paced, innovative company environment
  • Opportunity to influence data governance strategies
  • Collaboration with diverse technical and business teams
  • Access to advanced data technologies and tools
Full Job Description
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

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ

Similar Jobs

More Jobs at Snowflake Computing

More Legal & Accounting Jobs

Find similar Staff Analytics Engineer - Accounting jobs: