GREEN LIGHTNING CANNABIS

Analyze complex datasets to support business decisions, develop dashboards, and collaborate with teams to improve operational insights. | Requires proven experience in data analysis, proficiency in SQL, Excel, Python, and visualization tools, along with strong communication skills. | GREEN LIGHTNING CANNABIS is on a mission to elevate the cannabis experience, focusing on meticulous cultivation, innovative craftsmanship, and an unwavering commitment to quality. We pride ourselves on our sustainable practices, nurturing each plant with care to ensure potency, purity, and consistency in every batch. As we continue to grow in the alternative medicine industry, we are currently seeking a skilled Data Analyst who will play a pivotal role in driving our data-driven decision-making processes. The ideal candidate will possess strong analytical skills to interpret complex datasets, provide insights to enhance our operational efficiencies, and support our commitment to delivering exceptional products to our customers. As part of our team, you will be integral in managing data related to cultivation, production, sales, and customer experiences, ultimately contributing to our goal of being a leader in the cannabis sector while upholding our values and sustainability initiatives. If you are passionate about data analysis and the potential of the cannabis industry, we would love to hear from you and explore how you can make a difference at GREEN LIGHTNING CANNABIS. Responsibilities Collect, analyze, and interpret data to support business objectives. Develop and maintain data visualizations and dashboards that highlight key performance indicators. Collaborate with production and sales teams to understand data needs and provide analytical support. Identify trends, patterns, and insights within the data that can inform strategic decisions. Prepare and present reports to stakeholders, highlighting findings and recommendations. Monitor data quality and integrity, ensuring accuracy in all analyses. Conduct ad-hoc analyses as required to address specific business questions and challenges. Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Proven experience as a Data Analyst or in a similar analytical role. Strong proficiency in data analysis tools such as SQL, Excel, or Python. Experience with data visualization tools such as Tableau, Power BI, or similar. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and verbal, to effectively convey complex data insights. Ability to work collaboratively in a fast-paced environment, managing multiple projects efficiently. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Free Food & Snacks Wellness Resources Stock Option Plan