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Snowflake

Senior Analytics Engineer, Finance

Snowflake, Menlo Park, California, United States, 94025

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Where Data Does More. Join the Snowflake team. 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 Snowflakes 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

Every Snowflake employee is expected to follow the companys confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the companys data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and were 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