Director, Data & Analytics

At TerrAscend, we’re on a mission to elevate the lives of our patients and customers. We cultivate exceptional marijuana therapies for patients and high-quality products for legalized adult recreational use. As one of North America's largest and fastest-growing multi-state, vertically integrated cannabis operators, we’re at the forefront of innovation and excellence. Together we grow, shaping the future of cannabis. Join us on this exciting journey and be part of something extraordinary!
It’s a Joint EffortWe believe that how we work together truly matters. Our employees are passionate about what we do and how and why we do it. TerrAscend’s most successful team members understand that serving our patients, customers, and each other is what excels our growth. To keep thriving, we continue to bring together the brightest minds in business with best-in-class cultivation and outstanding patient and customer experiences. This is how we continue to set the industry standard.
Sound like weed be a good fit? Here’s where you come in.
The Director, Data & Analyticswill design, implement, and maintain robust analytics solutions that deliver actionable insights to the business. This position will focus on building scalable data pipelines, creating efficient data models, and delivering advanced visualizations in Power BI. This is a technical, hands-on role that requires working closely with cross-functional teams to ensure data solutions meet business objectives and operate efficiently in a production environment. 

All benefits-eligible employees are provided the following benefits:

• Employee Discount (all employees eligible)
• Paid-Time-Off (varies by State, please ask your Recruiter for more info)
• Health, vision, and dental insurance
• 98Point6 (remote primary care)
• 401k with 4% matching (100% vested immediately)
• Employee Assistance Program
• Paid Parental Leave
• Life Insurance
• Short & Long Term Disability
• Flexible Spending Account
• Wellness Program

Responsibilities:

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Solution Design and Development 
• Design and implement end-to-end analytics solutions, including ETL pipelines, data integration, and visualizations. 
• Develop and optimize scalable data models to support reporting and analytical needs. 
• Create and manage Power BI dashboards and reports, ensuring performance and usability. 
• Write, optimize, and manage SQL queries to extract and transform data from multiple sources. 

Production Support and Optimization 
• Monitor and maintain the health of data pipelines and analytics systems to ensure continuous availability. 
• Troubleshoot and resolve issues in production data processes and visualizations. 
• Collaborate with IT and data engineering teams to optimize system performance and reliability. 
• Implement automation for recurring data tasks to improve efficiency and reduce errors. 
 Data Integration and Governance 
• Integrate diverse data sources, including ERP, CRM, and third-party systems, into a unified platform. 
• Ensure data quality by implementing validation checks and monitoring data flows. 
• Adhere to data governance policies to maintain security, compliance, and accuracy. 
• Collaborate with IT to design and maintain robust data infrastructure, including cloud platforms (Azure, AWS, GCP). 
• Develop and enforce data governance policies to ensure quality, security, and compliance. 
 Collaboration and Stakeholder Engagement 
• Work closely with business teams to gather requirements and translate them into technical solutions. 
• Collaborate with data engineers and IT staff to build robust infrastructure for analytics. 
• Communicate complex data concepts and insights to non-technical stakeholders effectively. 

Continuous Improvement 
• Identify opportunities to improve existing data workflows, visualizations, and models. 
• Stay current with industry trends and emerging technologies to apply innovative solutions. 
• Contribute to the development of best practices and standards for analytics solutions. 

Experience & Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related fieldrequired. 
• 6+ years of hands-on experience in analytics, data integration, or data engineeringrequired. 
• Proficiency with Power BI, including dashboard creation, DAX, and performance optimizationrequired. 
• Strong skills in SQL, including complex query development and optimizationrequired. 
• Experience building ETL pipelines and integrating data from multiple sourcesrequired. 
• Familiarity with cloud platforms such as Azure, AWS, or GCPrequir