Terrabis · 4 hours ago
Data Architect and Analytics Lead
Maximize your interview chances
Insider Connection @Terrabis
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Design and maintain a scalable data architecture that integrates various systems, including POS, e-commerce, CRM, and marketing platforms.
Manage our centralized data warehouse in Snowflake.
Build robust ETL/ELT pipelines to automate data collection, processing, and transformation.
Ensure high data quality, integrity, and availability through regular validation and monitoring processes.
Partner with department leads to align data projects with strategic goals.
Be a thought partner to cross-functional leaders, helping them leverage data to solve complex business problems.
Provide analytical insights for pricing, inventory, customer segmentation, and marketing optimization.
Build frameworks for experimentation (e.g., A/B testing) to enable data driven growth.
Build predictive and prescriptive models to forecast demand, optimize inventory, and improve customer retention.
Develop and enforce data governance policies to ensure compliance with cannabis industry regulations.
Maintain documentation for all data architecture and analytics processes to ensure clarity and consistency.
Spearhead new tool integrations and maximize their use.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
5+ years of relevant experience in designing and building data architecture, leading analytics, or data science teams, driving business, customer, or marketing analytics.
Proficiency with building and maintaining cloud-based data platforms such as Snowflake, ETL/ELT tools such as dbt, and visualization tools such as Power BI.
Preferred
Experience in a regulated industry, and Ecommerce (B2C) preferred.