💰 DOE 🗓️ Full-time 🏷️ Information Technology 📛 No license required
About our company
LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively, sell or order from their favorite brands and accelerate growth. We are one platform, one solution and we’re defining the way thousands of cannabis brands, distributors and retailers streamline their operations. With thousands of brands and retailers across 30+ markets in North America, we are setting the industry standard for how cannabis businesses grow together. LeafLink processes more than $4.4 billion in wholesale cannabis orders annually.
LeafLink is seeking a Data Analyst to join our team supporting the payments product team. You possess a blend of a strong analytical mindset and clear, concise communication of findings. You thrive in the unknown and proactively work to answer the unknowns for stakeholders. You are not afraid to ask “Why” and refine stakeholder requests to align with that “Why”. You are comfortable telling stories through data and can answer questions before they’re asked. You will work across departments to find new uses for our data and drive a deeper understanding of business drivers internally and externally. The ideal candidate should be empathic, curious, gritty, and grounded in an experimentative and fact-based mindset.
Converting raw data into consumable, actionable insights applying appropriate business logic.
Develop a deep understanding of the business drivers and what potential downstream implications of movements may be.
Conduct ad hoc analysis, ranging from the development of new metrics to identifying root causes for fluctuations in volume through the platform.
Partner with product team stakeholders and team leads to push forward LeafLink’s thought leadership in the Cannabis Data space.
Perform deep dives to analyze problems, identify opportunities, and suggest solutions based on findings.
Clearly communicate your findings to a range of stakeholders to inform and educate them.
1+ years of experience working with large data sets to extract and surface actionable findings.
Analytical mindset with demonstrated ability to work through complex, ambiguous problems using data.
Degree in engineering, science, statistics, economics, finance, or related technical field.
High level of proficiency with Excel/Google sheets
Experience writing SQL queries to answer business questions and extract data efficiently
Ability to write and present concise, structured stories through PowerPoint/Google Slides
Experience with a scripting language such as Python or R
Ability to perform and interpret statistical analysis.
Experience building reporting products using BI tools like Periscope, Tableau, Looker, etc is a strong plus.
Comfortable working in a fast-paced growth business with many collaborators.
Exposure to dbt, Airflow, or other DAG-based workflow frameworks is a plus.