Data Analyst
Summary
Data Analyst on Metrc's Data & Analytics team designing Tableau and Sigma dashboards/reports, analyzing complex datasets in SQL, maintaining DBT pipelines, and administering BI platforms to deliver compliance and operational insights across cannabis regulatory tracking.
ABOUT METRC
Metrc is the most trusted and experienced provider of cannabis regulatory systems in the United States and is growing extremely rapidly to expand globally. We provide a solution that combines advanced software, radio-frequency identification (RFID) technology, a dedicated customer-support team, and a secure database to track and trace cannabis from growth, harvest, and processing to testing, transport, and sale. As Data Analyst, you will have the opportunity to thrive in a fast-moving, fluid environment, and be passionate about implementing change, great processes and procedures in a commercial setting at a fast-growing technology company.
GENERAL OVERVIEW
The Data Analyst (DA) is a key member of Metrc’s Data and Analytics organization. In this role, you’ll collaborate closely with internal teams across the company as well as external customers and partners. The Data and Analytics team delivers high-value analysis and actionable insights that support strategic decisions, operational efficiency, and compliance for a wide range of stakeholders.
KEY RESPONSIBILITIES
Core duties and responsibilities include the following.
· Design, develop, and deploy dashboards and reports using Tableau, Sigma, and other BI tools to meet business requirements
· Analyze complex data sets using SQL to identify trends, patterns, and actionable insights that inform business decisions
· Administer BI platforms (Tableau Server, Sigma), managing users, permissions, automations, and content assets
· Monitor and validate report data regularly to ensure consistency, accuracy, and reliability
· Curate and organize data for reporting purposes, ensuring well-structured data that meets business needs
· Maintain and optimize DBT pipelines to ensure data quality and transformation efficiency
· Document business requirements and create specifications for needs requiring advanced data engineering
· Respond to BI tool inquiries and collaborate with training to facilitate user education.
· Proactively explore new metrics within existing data to improve analytics.
· Maintain and publish organizational data dictionaries to ensure accurate and up-to-date documentation
· Stay current with industry best practices and emerging trends in data visualization and reporting