Economic Intelligence Analyst

Metrc•Glen Burnie, MD

1d•Onsite

About The Position

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 Market Intelligence 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 We are seeking a highly analytical and naturally curious professional who thrives on uncovering insights others miss. This role sits at the intersection of business analysis, data science, economics, and software development, leveraging data to identify emerging trends, market dynamics, risks, and opportunities that drive business performance. The ideal candidate is someone who enjoys digging into complex datasets, challenging assumptions, and translating information into meaningful business intelligence. They possess strong technical capabilities, a solid statistical foundation, and a deep understanding of market drivers and supply chain dynamics. Success in this role means consistently uncovering valuable insights and proactively answering questions business leaders have not yet thought to ask. This position will spend much of its time analyzing New York market data and other internal and external data sources to provide actionable intelligence that supports Customer Success Managers (CSMs) and business leadership.

Requirements

Bachelor's degree in Economics, Statistics, Data Science, Mathematics, Business Analytics, Computer Science, Finance, or a related discipline.
5+ years of experience in analytics, business intelligence, data science, economics, or a related field.
Advanced proficiency in Python for data analysis, automation, and modeling.
Strong background in statistics and quantitative analysis.
Experience working with large datasets and complex business problems.
Strong SQL and data querying skills.
Demonstrated ability to synthesize data into actionable business recommendations.
Excellent analytical, critical thinking, and problem-solving abilities.
Strong written and verbal communication skills.

Nice To Haves

Advanced degree in Economics, Statistics, Data Science, Applied Mathematics, or a related field.
Experience analyzing market data, economic indicators, or supply chain performance.
Knowledge of forecasting, predictive modeling, and machine learning techniques.
Experience with business intelligence and visualization tools such as Power BI or Tableau.
Experience supporting commercial, customer success, revenue operations, or strategy functions.
Familiarity with software development concepts and data engineering practices.

Responsibilities

Analyze large and complex datasets to identify trends, anomalies, risks, and opportunities.
Conduct deep investigative analysis to uncover meaningful business insights and market intelligence.
Monitor and evaluate market conditions, economic indicators, supply chain trends, and competitive dynamics.
Use statistical analysis, data modeling, and exploratory data analysis techniques to answer complex business questions.
Develop and maintain analytical tools, models, and automated processes using Python and other data technologies.
Gather and integrate data from multiple sources to provide comprehensive business insights.
Partner with Customer Success Managers and business leaders to support strategic decision-making.
Translate technical findings into clear, concise recommendations for executive and operational audiences.
Identify leading indicators and emerging trends that may impact customer outcomes and business performance.
Create visualizations, reports, and presentations that communicate findings effectively.
Proactively surface insights that drive action and influence business strategy.
May perform other additional duties and responsibilities as assigned.