Analytics Engineer

Overview At Snowflake, we are powering the era of the agentic enterprise. We seek AI-native thinkers across every function energized by reinvention and curious about using AI as a high-trust collaborator. We value low-ego individuals who thrive in dynamic environments and test emerging capabilities to deliver simpler, more powerful results. At Snowflake, your role is to help redefine 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 an Analytics Engineer to join our growing Finance Analytics Engineering team. You will drive value and empower decision-making by developing and maintaining the data infrastructure that fuels reporting and analysis for the Finance organization and impacts Snowflake’s success. Responsibilities Use SQL, Python, Snowflake, dbt, Airflow, and other systems within an agile development model to build and maintain data infrastructure for reporting, analysis, and automation Perform data QA and develop automated testing procedures for 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 support a wide range of use cases and drive the organization toward single sources of truth Provide input into data governance strategies, including permissions and security models, data lineage, 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: 3+ years of experience 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 similar technologies Effective communication with a wide range of stakeholders Ability to prioritize and execute tasks in a high-pressure, changing environment Creative problem-solving skills Ability to introduce structure and simplicity into vague, complex problems Attention to detail and quality Willingness to identify weaknesses in data and processes and drive improvements Bias for action Preferences Experience with ERP and Financial Planning tools Experience with CI/CD pipelines Experience leading or working within a scrum, sprint, or other agile framework Past experience supporting product or product finance stakeholders Experience with cost attribution models for SaaS products and tying products to CSP cost reports Familiarity with cloud cost management and understanding of cloud cost structures Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud) Compensation and Benefits The estimated base salary range for this role is $132,000 - $173,000. Eligible to participate in Snowflake’s bonus and equity plan. The successful candidate’s starting salary will be determined based on skills, experience, and geographic location. This role is also eligible for a comprehensive benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending accounts and health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits. To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form. #J-18808-Ljbffr