Analytics Engineer, GrowthLoop

• You're passionate about clean data architecture, skilled at breaking down complex problems into manageable parts, and you appreciate the long-term value of scalable tooling and repeatable processes
• You thrive in a fast-paced environment with autonomy, growth potential, and purpose-driven work
• 2+ years of experience in SQL
• 2+ years of experience in Python
• Hands-on experience with the design, development, and maintenance of cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
• Strong understanding of relational databases and data warehousing fundamentals
• Strong analytical and problem-solving skills
• Self-starter who thrives with autonomy and responsibility
• Intellectual curiosity and the drive to continuously learn and apply new technologies

Desirable

• In this role, you will be embedded with a single enterprise client, acting as a key technical partner in their data transformation journey
• You'll gain deep knowledge of their business, collaborating closely to design efficient and accessible data models that unlock real business value
• This role offers the unique opportunity to make a significant impact on a high-priority, strategic initiative
• Engineer and optimize the ingestion of large volumes of data into cloud data warehouses
• Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks
• Design and build scalable data models that support the client's analytical and operational goals
• Drive improvements to internal workflows and tooling to increase efficiency and repeatability
• Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions