Curaleaf Holdings, Inc. (CSE: CURA) (OTCQX: CURLF) ("Curaleaf") is a leading vertically integrated U.S. multi-state cannabis operator with a mission to improve lives by providing clarity around cannabis and confidence around consumption. As a high-growth cannabis company known for quality, expertise, and reliability, the company and its brands, including Curaleaf and Select, provide industry-leading service, product selection, and accessibility across the medical and adult-use markets. Curaleaf currently operates in 23 states with 93 dispensaries, 22 cultivation sites, and over 30 processing sites, and employs over 3,000 team members across the United States. Curaleaf is listed on the Canadian Securities Exchange under the symbol CURA and trades on the OTCQX market under the symbol CURLF. For more information, please visit www.curaleaf.com.
We are seeking individuals who are passionate about making a difference in the work they do and will help support our company vision "To be the world's leading cannabis company by leading the world in cannabis education, accessibility, and customer satisfaction with high-quality products backed by science." You will have an opportunity to be recognized for your talent and expertise while contributing to the success of key strategic initiatives in support of our Mission "To improve lives by providing clarity around cannabis and confidence around consumption."
Regional Data Analyst
Curaleaf's Regional Data Analyst performs various advanced analytics and statistical analyses to drive data driven insights to improve business performance across their assigned region as well as building best practices to share across the organization.
Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method to optimize regional business and marketing performance.
Applies creativity in developing analytic solutions based on available data sources, and in representing findings in reports, tools, and other media to support effective communication to business partners.
Investigates and analyzes structured, unstructured data, and streaming data to solve simple to mid-complexity business questions.
Implements monitoring capabilities to identify insights for sales growth and key opportunities, and marketing channel performance such as Email, Web, Social, CRM, etc.
Summarize insights from analysis, clearly communicate analytical findings in a cohesive story, and articulate key decision factors and recommendations for presentations to regional leadership.
Aligns with national and regional leadership around business and marketing KPIs.
Facilitates the transfer of user data for media targeting and other integrations.
Actively participates in internal peer review process to validate assumptions, technical approach, and to inform the evolution of the organization's analytical tools, processes, and operating model.
Partners with Information Technology to build appropriate change control and monitoring processes for analytical product and/or application programming interfaces.
Manages primary research in region (when applicable).
Experience: At least five years hands-on experience in analytics, data science, or management consulting with a proven track record as a data analyst in statistical analysis, quantitative analytics, and predictive analytics.
Education: A bachelor's degree in mathematics, statistics, computer science, economics, engineering, operations research or another related technical field.
Other knowledge, skills, or abilities:
Excellent verbal and written communication skills to clearly articulate insights to leadership and relevant stakeholders.
Intellectually curiosity with strong creative and imaginative prowess to generate ideas to solve business problems.
Strong critical thinking abilities to draw sound conclusions from information and various data sources at their disposal.
Capacity to analyze data objectively, applying logical thought and offering solutions.
Fluency in business and marketing analytics and related marketing and business intelligence tools.
Strong statistical analysis, quantitative analytics, forecasting, and predictive analytics.
Decision making involves some level of uncertainty, so it is important that applicants are comfortable with ambiguity.
Proven experience in programming languages such as SQL and Python.
Advanced Excel skills (VBA preferred) and experienced in PowerPoint for presentation purposes.
Thrives working with cross-functional teams.
Maturity to interact directly with senior leadership across departments, as well as provide leadership to teams on the implementation of strategic initiatives.
Knowledge of manufacturing/food/beverage industry products/services and operations.