Sr. Data Analyst

Feb 2, 2022🔗 👁️ 140 140 Views

🏢 LeafLink 📍 New York, New York

💰 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.

Job description

LeafLink is seeking a Sr. Data Analyst to join our New York team. As a Sr. Data Analyst, you will gain a deep understanding of business operations, profitability drivers, goals & objectives of the business. Further you will develop an unparalleled understanding of underlying data from various systems and the methodology used to calculate KPIs and metrics across various teams at LeafLink and be able to answer a variety of business questions with speed and accuracy. You are someone who enjoys a fast paced landscape with a variety of use cases for data and are able to work across business domains. You enjoy deep analysis work, have an incredible eye for data quality issues and anomalies and the ability to explain the data and inferences clearly to senior leaders.

As a Sr. Data Analyst, you are able to work independently and largely unsupervised, support projects end to end - from understanding requirements and business questions to extracting data from databases with SQL, performing analyses and presenting results using Tableau or other BI tools while working in conjunction with cross-functional stakeholders. You are also someone who can drive pace of execution and will make decisions when blocked in conjunction with relevant stakeholders. 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 a structured thinker able to break down problems into sub components and organize analyses and stories into logical narratives.