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Senior Analytics Engineer, Finance

Snowflake LogoSnowflake
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Salary

The estimated base salary range for this role is $152,000 - $204,700.

Location

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

We are looking for a Senior Analytics Engineer to join our growing Finance data 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 a Senior 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:

  • 5+ 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 working in a finance or accounting role, or directly supporting analysis and reporting for finance or accounting stakeholders

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