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Overnight Marijuana Data Analyst Jobs (NOW HIRING)

Home Depot

Senior Analyst, Customer Data Enablement

Atlanta, GA · On-site

$81K - $103K/yr

The Senior Analyst, Customer Data Enablement plays a key role in operationalizing data governance ... Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ...

Wellbe Senior Medical

Healthcare Reporting Analyst

This role reports to the Manager of Data and Quality Management and works closely with operational ... WellBe Senior Medical will comply with applicable state laws regarding medical marijuana and ...

Wellbe Senior Medical

This role reports to the Manager of Data and Quality Management and works closely with operational ... WellBe Senior Medical will comply with applicable state laws regarding medical marijuana and ...

Axos Bank

Business Analyst II

San Diego, CA · On-site

$70K - $77K/yr

The position will focus heavily on data operations and analytics supporting the Deposits, Lending ... At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any ...

Axos Bank

Business Analyst II

San Diego, CA · On-site

$70K - $77K/yr

The position will focus heavily on data operations and analytics supporting the Deposits, Lending ... At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any ...

HD Supply

Manager, Data Analytics

Atlanta, GA

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

HD Supply

Manager, Data Analytics

Atlanta, GA · On-site

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

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Overnight Marijuana Data Analyst information

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$34K

$82.6K

$136K

How much do overnight marijuana data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for overnight marijuana data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an overnight marijuana data analyst do?

An Overnight Marijuana Data Analyst is responsible for collecting, analyzing, and interpreting data related to cannabis production, sales, and compliance, often during late-night or overnight hours. This role typically involves monitoring data feeds, generating reports, and ensuring accuracy in inventory and regulatory records. Analysts may also identify trends or anomalies to help businesses optimize operations and stay compliant with state regulations. They work closely with cultivation, retail, and regulatory teams to provide actionable insights.

What are some common challenges faced by an overnight marijuana data analyst, and how can they be managed effectively?

Overnight Marijuana Data Analysts often encounter challenges related to working non-traditional hours, such as maintaining focus and productivity during late-night shifts and managing communication with daytime teams. Additionally, the rapidly evolving cannabis industry requires analysts to stay up-to-date with regulatory changes and shifting data trends. To manage these challenges, it's important to establish a consistent sleep schedule, use collaborative tools for effective handoffs, and participate in ongoing industry training. Building strong relationships with both overnight and daytime colleagues can also foster smoother project collaboration.

What is the difference between Overnight Marijuana Data Analyst vs Overnight Cannabis Quality Control Technician?

AspectOvernight Marijuana Data AnalystOvernight Cannabis Quality Control Technician
CredentialsDegree in data analysis, statistics, or related field; knowledge of cannabis industry regulationsLaboratory certification, quality assurance training, knowledge of cannabis testing standards
Work EnvironmentOffice or data center, working with databases and analytics tools overnightLaboratory setting, performing quality tests on cannabis products overnight
Industry UsageData analysis for sales, trends, and compliance in cannabis industryProduct testing and quality assurance in cannabis production facilities
Common Search/ComparisonOften compared due to industry overlap and similar shift hours

The Overnight Marijuana Data Analyst primarily focuses on analyzing cannabis industry data during overnight shifts, utilizing skills in data management and analytics. In contrast, the Overnight Cannabis Quality Control Technician concentrates on testing and ensuring the quality of cannabis products overnight. Both roles are essential in the cannabis industry but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as an overnight marijuana data analyst?

To thrive as an Overnight Marijuana Data Analyst, you need a solid background in data analysis, statistics, and familiarity with the cannabis industry, often supported by a relevant degree such as in data science or business analytics. Proficiency with data visualization tools (e.g., Tableau, Power BI), database systems (e.g., SQL), and cannabis compliance software is typically required. Attention to detail, problem-solving, and strong communication skills help analysts interpret trends and relay insights clearly to stakeholders. These competencies enable accurate, timely reporting and informed decision-making in a highly regulated and rapidly evolving industry.
What cities are hiring for Overnight Marijuana Data Analyst jobs? Cities with the most Overnight Marijuana Data Analyst job openings:
What are the most commonly searched types of Marijuana Data Analyst jobs? The most popular types of Marijuana Data Analyst jobs are:
What states have the most Overnight Marijuana Data Analyst jobs? States with the most job openings for Overnight Marijuana Data Analyst jobs include:
Overnight Marijuana Data Analyst jobs near you

Submission for the position: Supply Chain Strategic Data Analyst - (Job Number: 26007074)

Baylor Scott & White Healthcare

Dallas, TX • On-site

Full-time

Re-posted 11 days ago

Baylor Scott & White Health rating

7.5

Company rating: 7.5 out of 10

Based on 758 frontline employees who took The Breakroom Quiz

232nd of 887 rated healthcare providers

Job description

Job Summary
The Supply Chain Strategic Data Analyst solves advanced, complex data management problems. Maintains, develops and provides solutions, procedures, standards, templates, verification/auditing documentation of data management activities. In addition to data management support, this person woks well with customers and other stakeholders (business and technical). This position is considered a career level position.
Schedule
Mostly work offsite, in office two days a week.
Essential Functions of the Role
  • Collects, cleanses, aligns, maintains, and manages data generated by multiple teams according to overarching business goals and direction, giving visibility and transparency to leadership, supporting effective and efficient business operations.
  • Analyzes and maintains the accuracy and consistency of the data by gaining an understanding how the system data is used by different stakeholders within the business, creating data standards, analyzing and monitoring data quality using both automated and manual methods, and addressing issues.
  • Provides expertise and guidance for positions less focused on data management, including the understanding of Baylor Scott & White Health policies, procedures and standards, all areas of data administration, data management design, implementations, updates, maintenance, support, documentation reporting, research and development for data ecosystems of medium complexity.
  • Executes data management and related requirements including but not limited to data gathering, quality control, disaster recovery and high availability solutions, analyzing and developing data alignment based on business goals, decision rights, process efficiency and software installations and configurations for data ecosystems of medium complexity.
  • Implements third party or develops new data management processes in order to analyze data quality and recommends changes to enhance performance. Requires knowledge of data management best practices and techniques.
  • Considered a specialist in two or more areas of data management including but not limited to collection, consistency, organization, control, operational alignment and has applicable certifications. Other specialties as defined by manager.
  • Prioritizes work appropriately, carrying out assignments with the appropriate level of direction and completes tasks within deadlines with occasional supervision.
  • Monitors work progress, informing team leaders, team manager and/or customers of project status, problems or obstacles and workload problems in a timely manner with occasional supervision. Provides timely and accurate status reports with no supervision. Enters work time in an appropriate and timely manner into applicable system with occasional supervision

Key Success Factors
  • Strong critical thinking and analysis skillset.
  • Experience managing data, database operations.
  • Ability to communicate effectively with business and technical stakeholders.
  • Bachelor's degree, preferably related to data management.
  • Four years of experience in data management, analysis, and operations. Healthcare industry experience preferred.
    Willingness to travel among BSWH facility sites, including overnight travel, as needed for training, experience and project work, expected to be 5% or less business days per year.
  • Ability to work successfully within a hybrid environment or wholly in-office environment that is consistent with BSWH policy. Number of days required for routine office work as determined by department leader and variable in office days as needed for training, experience and project work.

Preferred Qualifications
  • Advanced knowledge of MS Excel and MS Access
  • Ability to write complex SQL queries
  • Cloud technologies such as Snowflake
  • Healthcare or Supply Chain analytics experience

Minimum Qualifications
  • Bachelor's or 4 years of work experience above the minimum qualification
  • 4 Years of Experience

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