Data Analyst

Portland, OR

Full Time

Experienced

Position Summary

Golden Grail Group is seeking a Data Analyst to join our team at our Airport Way headquarters. This role is responsible for managing and maintaining our master data sets while developing clear, actionable reports and visualizations that support decision-making across retail and distribution operations.

The ideal candidate has an exceptional eye for detail, strong analytical expertise, and hands-on experience with modern data analysis tools. This position works closely with product owners and business leaders across multiple departments to understand organizational goals, prioritize reporting needs, and translate complex data into clear, non-technical insights.

Key Responsibilities

Data Management & Reporting

Own and maintain master data sets, ensuring accuracy, consistency, and integrity across systems
Review, test, and validate data; document findings and report issues or insights to appropriate stakeholders
Import, process, and analyze confidential data in compliance with company guidelines and regulatory requirements
Develop reports and dashboards for internal teams and leadership that highlight trends, risks, and areas for improvement

Business Intelligence & Data Support

Support the data warehouse by identifying, refining, and documenting reporting requirements
Participate in initiatives focused on data normalization, integrity, and process improvement
Analyze sales, inventory, and operational trends to generate actionable recommendations
Provide insights to support revenue growth and optimization of existing products and distribution channels
Translate complex data findings into clear, easy-to-understand language for non-technical audiences

Qualifications & Requirements

Bachelor’s degree in Computer Science, Mathematics, Information Management, or a related field
3+ years of experience as a Data Analyst or in a related analytical role
Strong proficiency with data analysis and visualization tools (e.g., Excel, SQL, BI platforms)
Ability to understand business needs and clearly communicate insights without technical jargon
High-level written and verbal communication skills
Strong attention to detail and ability to manage sensitive and confidential information
Experience in retail, distribution, or highly regulated industries is strongly preferred
Cannabis industry experience is a plus but not required

About Golden Grail Group

Golden Grail Group is a vertically integrated retail cannabis distribution organization committed to operational excellence, regulatory compliance, and data-driven growth. We support our teams with systems and insights that enable smarter decisions and scalable success.

Our employees enjoy a collaborative work culture that values accountability, continuous improvement, and transparency.

Benefits & Perks

Golden Grail Group offers a competitive benefits package, which may include:

Medical, dental, and vision insurance
Paid time off and paid holidays
Retirement savings options
Professional development and growth opportunities

Employees may also enjoy:

Casual dress code
Free parking at HQ
Employee discounts
A collaborative, fast-paced work environment

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Describe your experience working with data analysis tools (such as Excel, SQL, Python, R, Power BI, Tableau, or similar). Which tools do you use most often, and for what types of tasks?

Walk us through a data analysis project you’ve completed. What was the business question, what data did you use, and what insights or outcomes resulted from your work?

How do you approach cleaning and validating raw data before analysis? Please include specific techniques or checks you commonly use.

Describe your experience writing and optimizing SQL queries. What types of queries do you run most frequently (e.g., joins, subqueries, window functions)?

How do you ensure accuracy and reliability in your analyses, especially when working with large or complex datasets?

Explain a time when your analysis influenced a decision or changed a process. What recommendation did you make, and what was the result?

What interests you most about working as a Data Analyst, and how do you continue developing your data and analytical skills?

Describe a situation where you had to analyze data under a tight deadline. How did you prioritize tasks and ensure quality?

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