Position Summary:

The Data Analyst will be responsible for managing and compiling data and metrics to help drive decision support for all functional business units.

Responsibilities:

• Develop, implement, and maintain SAAS based data warehouse systems, integrations, and data frameworks.
• Provide source to target mappings and data model specifications
• Developing and implementing data collection systems and other tactics that optimize data efficiency and accuracy
• Acquiring data from primary or secondary data sources and maintaining (through 3rd party) databases
• Scoping actionable analysis projects with functional business units
• Prioritizing analysis projects on the basis of actionable outputs and potential business impact
• Deliver summarized analysis, implications for action, and recommended use of insights to stakeholders
• Complete and deliver large-scale analysis projects pertaining to product selection, customer behavior patterns, and business efficiency
• Communicate data-driven insights to functional business groups and ensure a level of understanding that is actionable and impacts the business
• Convey analysis methodology to functional team
• Ensure that all related documentation (business requirements, technical designs, data dictionary, etc.) are created, maintained and available in a central repository.
• Coordinate cross-functionally with other departmental managers and Subject Matter Experts (SMEs) in Accounting / Finance, Marketing, Ecommerce, Sales, Supply Chain, Manufacturing, and Cultivation
• Support corporate objectives and global growth strategies
• Provides recommendations for improvements
• Responsible for escalating support issues to third-parties, as needed
• Provide regular project status reports
• Predict project risk factors and address proactively

Qualifications:

• Seeking of 3-5+ years of experience with data analysis, data warehousing, and delivering reporting
• Fluent in at least SQL syntax (Read functions)
• Experience with Tableau, Power BI, or Looker
• Proficiency with MS Excel
• Experience with statistical models and methodologies
• Experience with eCommerce analysis (CLV, AOV, Retention Rate, etc) a plus
• Experience with Python, Javascript, and R are a plus
• Experience with Financial Management, Supply Chain, Warehouse Management, and Manufacturing
• Experience working with an eCommerce platform
• Bachelor’s Degree in Information Technology or Mathematics or Statistics, or related field preferred
• Excellent planning and project management skills
• Self-starter with a high level of initiative and strong sense of ownership
• Strong communication and interpersonal skills
• Experience working in the CPG industry preferred
• Experience with both B2C and B2B business models preferred