Analytics Engineer III

The Analytics Engineer III role is responsible for bridging the gap between data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics engineering team in designing analytics solutions in Snowflake. You’ll provide expertise in data modeling and data warehousing concepts, leveraging modern data stack technologies such as Snowflake and dbt to drive actionable insights.

Your experience in improving data quality will help the business gain trust in the data.

• Monitor, maintain, and improve data integration logic running in the Snowflake Data Cloud.
• Design, implement, and optimize large‑scale data analytics solutions based on the Snowflake Data Warehouse to drive significant business impact.
• Utilize dbt to create data pipelines, manage transformations, and orchestrate data workflows.
• Provide expertise in data warehousing concepts, data modeling, and data lake architecture.
• Use SQL, Tableau, Python, or a combination to develop rapid prototypes and educate stakeholders on analytics modeling.
• Provide expert advice and education on the usage and interpretation of data to other teams across Data Science, Data Engineering, and functional Business Units.
• Detect data quality issues and their root causes.
• Evolve the way data is organized and maintained.

• Bachelor’s or Master’s degree in Business Analytics, Computer Science, Mathematics, or related fields; or equivalent experience.
• 5+ years of experience using SQL.
• 2+ years of experience using dbt and Snowflake Data Cloud.
• 2+ years of experience working within a CICD framework.
• Advanced understanding of data warehousing concepts and modern data stack tools, specifically dbt and Snowflake Data Cloud.
• Working knowledge of SCRUM and Kanban Agile methodologies.

• Effective communication of technical findings to non‑technical stakeholders.
• Business acumen to translate data insights into actionable recommendations.
• Problem‑solving skills: analytical mindset to tackle complex data challenges.
• Agile mindset: adaptability to changing requirements and priorities.
• Attention to detail: ensuring data accuracy and quality.
• Continuous learning: staying updated with industry trends and emerging technologies.
• Mentorship: ability and willingness to mentor less experienced team members.

This role is eligible for a competitive benefits package that includes medical, dental, vision, life and disability insurance; a 401(k) retirement plan; flexible spending and HSA accounts; paid holidays; paid time off; paid volunteer days; an employee assistance program; tuition assistance; parental leave; military leave assistance; a QTS scholarship for dependents; a wellness program; and other company benefits. This position is bonus eligible.

We conform to all laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities, and veterans to apply to all of our job openings. We are an equal‑opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability status, genetic information, family and medical leave, protected veteran status, or any other characteristic protected by law.

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