Full-Time Senior Data Analyst

The RoleLeafLink is seeking a Senior Data Analyst to join our growing data organization. Data is truly the lifeblood of LeafLink. Our clients and internal stakeholders crave impactful information. This role would embody this thirst for knowledge and lead the enablement of data-driven decisions throughout the company. Stakeholders from across the organization will look to this role to help them shape their various business lines by providing proactive insights. These insights should come in the form of clear storytelling rooted in a solid understanding of business needs.

As a lean data team, we enable our stakeholders through self-service. This role would be instrumental in training, building, and promoting self-service analytics at LeafLink.

Who You Are

• You are comfortable working in a fast-paced growth business with many collaborators
• Startups mean ambiguity and change, you are a self-starter and thrive in this environment
• You ask "why" and use empathy to wade through the noise to get to the heart of a problem
• Data, with all the joys and challenges it brings, excites and motivates you

What You'll Be Doing

• Develop a deep understanding of the business drivers and go deep into the "why" when a key metric changes
• Use clear communication and empathy with stakeholders to gather the right requirements
• Clearly communicate findings to a variety of non-technical audiences
• Lead the charge in enabling data-driven decision-making by promoting self-service
• Take a scientific approach to problem-solving to eliminate bias in decisions
• Partner with stakeholders and team leads to push forward LeafLink's thought leadership in the Cannabis Data space.
• Manage long-term projects by scoping your work and coordinating stakeholders

What You'll Bring to the Team

• 3+ years of experience in an analyst or consultative role
• 1+ years of experience using a BI tool (Sigma, Tableau, Looker, etc.)
• Consultative approach to working with stakeholders and requirements gathering
• Advanced knowledge of SQL, ability to write complex queries against large datasets
• Comfortable working in a fast-paced growth business with many collaborators
• Experience working with dbt for data modeling and diagnosing weirdness in data
• Experience using statistical modeling such as time series forecasting, regression, correlations
• Experience in using Python or R for advanced analysis (is a plus)
• Experience working in a modern data stack environment (preferably built on AWS)

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