Data Analyst

Metrc•Lakeland, FL

4h•Hybrid

About The Position

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. Embodies Metrc’s Leadership Principles

Requirements

Four years or more experience with Data Analysis and Analytics
Strong SQL proficiency and relational database interaction skills
Bachelor’s degree in data Analytics or a similar study or equivalent experience. Other degrees are acceptable if a candidate has deep technical experience with Snowflake, SQL, Python, R to pair with Data Analytics experience.
Heavy Microsoft Excel experience (formulas, pivots, lookups), Visio a plus, proficiency with the remainder of MS Office suite.
Basic understanding of client service: this position exists to help others; we are a business support function that supports a commercial business, and the Data Analytics team at Metrc prides ourselves by treating our customers like customers.
Written Communication--Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read and interpret written information.
Oral Communication--Speaks clearly and persuasively in positive or negative situations; Listens and gets clarification; Responds well to questions; Demonstrates group presentation skills; Participates in meetings.
Teamwork--Balances team and individual responsibilities; Exhibits objectivity and openness to others' views; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Able to build morale and group commitments to goals and objectives; Supports everyone's efforts to succeed.
Frequently required to sit
Frequently required to talk or hear
Continually utilize visual acuity to operate equipment, read technical information, and/or use a keyboard and mouse.

Nice To Haves

Experience in supply chain or track-and-trace–related data analytics is preferred but not required.
Reporting tool experience (ex: Tableau, Sigma, Power BI, Domo, Looker, etc.) is highly desirable.
Reporting tool development experience is favorable but not required.
ETL tool experience is favored but not required (ex: Alteryx, Tibco, Tray.Io, Workado, MuleSoft, Metallion, FiveTran)
AI and Machine Learning experience a plus, basic understanding required

Responsibilities

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