Senior Data Analyst

Curaleaf Holdings, Inc. (CSE: CURA) (OTCQX: CURLF) (Curaleaf) is a leading international provider of consumer products in cannabis, 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. In the United States, Curaleaf currently operates in 23 states with 123 dispensaries, 25 cultivation sites, and over 30 processing sites, and employs over 5,000 team members. Curaleaf International is the leading vertically integrated cannabis company in Europe with a unique supply and distribution network throughout the European market, bringing together pioneering science and research with cutting-edge cultivation, extraction, and production.  Home | Curaleaf | Cannabis with Confidence

Our corporate social responsibility is Rooted In Good  Diversity, Equity, Inclusion + Social Equity + Sustainability Social Responsibility | Curaleaf | Cannabis with Confidence We believe in taking corporate and social responsibility very seriously, from our educational outreach to national partnerships, state-wide initiatives and local causes. Giving back to the communities where we operate is important to us, and helps to change old attitudes by showing the positive impact of cannabis in creating jobs, changing lives, and helping local communities.

We educate. We advocate. We give.

Curaleaf’s  Data Analyst performs various advanced analytics, statistical analyses, and data visualization, including report building to drive data driven insights to improve business performance cross product commercialization. The specific tasks will vary depending on the project. This position is a critical connection between the Analytics team and Commercialization, the central hub developing and launching products that position Curaleaf at the forefront of innovation.

Responsibilities:

Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method to optimize regional business and marketing performance

Investigates and analyzes structured, unstructured data, and streaming data to solve simple to mid-complexity business questions

Analyzes internal and external market research data to inform and analyze Commercialization efforts to balance near term GTM and long-term product road map visions 

Summarizes insights from analysis, clearly communicate analytical findings in a cohesive story, and articulate key decision factors and recommendations for presentations to regional leadership

Utilizes predictive modeling to increase and optimize revenue generation, assortment planning, and other business outcomes  

Collaborates with different functional teams to implement models and monitor outcomes; create data visualization and audience appropriate documentation of findings and approach

Performs processing, cleansing, preprocessing and verifying the integrity of imperfect data used for analysis; able to identify various data structures and standardize methods in data transformations

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

Aligns with national, regional, and state level leadership around business and marketing KPIs, to create win-win opportunities in innovation and profit

Partners with Information Technology to build appropriate change control and monitoring processes for analytical product and/or application programming interfaces

Qualifications:

Experience:  At least five (5) 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 or similar demonstrated experience

Other knowledge, skills, or abilities:

Excellent verbal and written communication skills to clearly articulate insights to leadership and relevant stakeholders

Intellectual 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

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

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, Python, and R

Advanced Excel skills (VBA preferred) and experienced in PowerPoint for presentation purposes

Knowledge of manufacturing/food/beverage industry products/services and operations

Curaleaf is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.