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Analytics EngineerSnowflakeMenlo Park, California, United States
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Analytics Engineer

Snowflake
  • US
    Menlo Park, California, United States
  • US
    Menlo Park, California, United States

À propos

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.
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  • Menlo Park, California, United States

Compétences linguistiques

  • English
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