Overview
On Site
USD 152,000.00 - 204,700.00 per year
Full Time
Skills
Decision-making
Management
Data Quality
Automated Testing
Data Modeling
Business Systems
Use Cases
Data Governance
Usability Testing
Quality Assurance
Documentation
Analytics
Business Intelligence
SQL
MPP
Database
Amazon Redshift
Enterprise Resource Planning
Financial Planning
Python
Continuous Integration
Continuous Delivery
Scrum
Sprint
Agile
Reporting
Finance
Accounting
Data Security
Innovation
Snow Flake Schema
Job Details
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 Snowflake's success as a company. As a Senior Analytics Engineer, you will be responsible for the following:
WHAT YOU WILL NEED:
Required skills:
Preferred skills:
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's 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 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
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
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's 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 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.