1

Manager Marijuana Data Analytics Jobs in Utah (NOW HIRING)

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas ... contracting, limited data analyses, database development or data gathering, preparation of ...

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas ... contracting, limited data analyses, database development or data gathering, preparation of ...

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas ... contracting, limited data analyses, database development or data gathering, preparation of ...

Provide support to Project Manager, Contracting, or senior-level Engineering personnel in the areas ... contracting, limited data analyses, database development or data gathering, preparation of ...

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

Familiarity with semantic models, governed metrics, or metadata management. * Experience with Python for data analysis or validation. * Familiarity with AI-assisted analytics tools and workflows.

Data Warehouse Analytics Specialist

Sandy, UT · On-site

$17 - $21.75/hr

Familiarity with semantic models, governed metrics, or metadata management. * Experience with Python for data analysis or validation. * Familiarity with AI-assisted analytics tools and workflows.

Analyze data to support management and customer requests. * Develop methods for data analysis and presentation. * Maintain and utilize database applications and analytical tools. * Assess data ...

Management Dimensions Not applicable Functional Capability Facilitates the set-up of meetings and conference calls. Participates in project definition and analysis phases of projects to ensure that ...

Showing results 41-60

Manager Marijuana Data Analytics information

What is the difference between Manager Marijuana Data Analytics vs Data Analyst Marijuana?

AspectManager Marijuana Data AnalyticsData Analyst Marijuana
Required CredentialsBachelor's degree, experience in data management, industry-specific knowledgeBachelor's degree in data science, statistics, or related field
Work EnvironmentTeam leadership, strategic planning, cross-department collaborationData collection, analysis, reporting, often under supervision
Employer & Industry UsageCannabis companies, dispensaries, industry regulatorsResearch firms, cannabis businesses, analytics providers
Search & Comparison IntentUnderstanding managerial roles in cannabis dataEntry to mid-level data analysis in cannabis industry

The main difference is that the Manager Marijuana Data Analytics oversees data teams and strategic projects, while the Data Analyst Marijuana focuses on analyzing data sets and generating reports. The manager role involves leadership and decision-making, whereas the analyst role is more hands-on with data processing and analysis tasks.

What are the most commonly searched types of Marijuana Data Analytics jobs in Utah?

The most popular types of Marijuana Data Analytics jobs in Utah are:

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition, LLC

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Description

The Data Analyst transforms internal and external data into clear insights that support sales, marketing, product, and retail strategy. This role partners with teams across the company to evaluate performance, identify growth opportunities, improve reporting, and support informed decisions. 

The position uses AI tools throughout the analytical process to accelerate research, develop solutions, automate routine work, and create effective deliverables. The ideal candidate is curious, detail oriented, comfortable learning new technology, and able to translate complex information into practical recommendations. 


WHAT YOU'LL DO 

  • Analyze sales, category, retailer, marketing, and competitive performance to identify trends, risks, and growth opportunities. 
  • Gather, combine, and validate data from internal systems, syndicated data providers, distributors, retailers, ecommerce platforms, and other sources. 
  • Use Codex and other AI tools to support research, write and troubleshoot SQL or code, automate workflows, and improve reporting processes. 
  • Create dashboards, recurring reports, presentations, and ad hoc analyses that clearly communicate business performance. 
  • Support sales and strategic projects with retailer and category insights, including assortment, market share, distribution, pricing, and product velocity. 
  • Present findings and recommendations to Sales, Marketing, leadership, and other partners across the company. 
  • Review analytical work and AI generated output to ensure accuracy, sound methodology, and appropriate handling of company data. 

 Benefits

- Opportunity for Advancement

- Quarterly Bonuses

- 12 Paid Holidays plus a Floating Holiday and PTO

- Sick Days (separate from PTO)

- Employee Discounts on Product

- 401k Match

- Medical, Dental, Vision, and Life Insurance

- HSA Match

- Employee Referral Bonus

- Clean Working Environment


Requirements

 QUALIFICATIONS 

  • Bachelor's degree in Data Analytics, Business, Economics, Statistics, Information Systems, Finance, or a related field, or equivalent practical experience. 
  • Experience analyzing sales, marketing, retail, or other business data. 
  • Experience using AI tools such as Codex, ChatGPT, Microsoft Copilot, or Gemini to support analytical, technical, or research work. 
  • Strong analytical and problem solving skills, including the ability to turn an open question into a structured analysis. 
  • Proficiency in Microsoft Excel or Google Sheets. 
  • Working knowledge of SQL and experience with databases or cloud data warehouses. 
  • Experience creating clear reports, visualizations, and presentations. 
  • Strong written and verbal communication skills. 
  • Ability to collaborate across teams, manage competing priorities, and meet deadlines. 
  • A proactive approach and an interest in learning new tools, data sources, and business processes. 

PREFERRED QUALIFICATIONS 

  • Experience using Codex or similar tools to develop scripts, work with APIs, automate processes, or analyze data. 
  • Experience with CPG or retail data, including syndicated, distributor, or retailer specific sources. 
  • Experience with BigQuery, Looker Studio, Power BI, Tableau, or similar platforms. 
  • Familiarity with market share, distribution, velocity, assortment, pricing, and other retail analytics concepts. 
  • Experience creating customer facing sales presentations or data driven selling stories. 

WORK ENVIRONMENT This position is primarily performed in an office environment and requires regular computer based work. The current expectation is onsite work, with any hybrid arrangement determined by company policy and business needs.