Founded in 2008, Weedmaps is a leading technology and software infrastructure provider to the cannabis industry. Our suite of cloud-based software and data solutions includes point of sale, logistics and ordering solutions that enable customers to scale their businesses while complying with the complex and disparate regulations applicable to the cannabis industry. In addition, our platform provides consumers with information regarding cannabis products across web and mobile platforms, including listing local retailers and brands, facilitating product discovery and allowing consumers to educate themselves on cannabis and its history, uses and legal status. Headquartered in Irvine, California, Weedmaps employs more than 400 professionals around the world, with offices including Barcelona, Denver, and Toronto.

Weedmaps is looking to bring on a highly motivated individual with strong technical and communication skills who leverages data to create impactful analysis and reporting to help inform strategic initiatives. The successful candidate will play a critical role in driving data-driven insights and decision-making within the marketing department. You will work closely with cross-functional teams to develop, implement, and maintain data analysis processes, and use your expertise to deliver actionable insights to drive business results. You should be eager to build deep domain knowledge in both Cannabis and data analytics. Our ideal candidate is self-motivated, highly analytical, technically excellent, passionate about delivering solutions for end users coping with real-world business problems.

The Impact You'll Make

• Collaborate with cross-functional teams to identify key performance metrics, develop dashboards, and automate data reporting processes
• Collect, process, and analyze large and complex data sets from various sources, such as customer behavior data including but not limited to NPS surveys, basket data, marketing campaigns, and sales data
• Conduct statistical analyses, data visualization, and data mining across large datasets to identify trends, insights, and opportunities to drive business growth
• Work with stakeholders to translate data-driven insights into actionable recommendations for marketing campaigns and initiatives
• Analyze and interpret test results and provide financial recommendations and guidance
• Prepare financial and business-related analysis using key financial metrics for value quantification (i.e. Return on Investment, Breakeven, etc.)
• Work with our various data and martech platforms (Braze, Segment, Intercom, Heap, etc.) to understand key business drivers and translate findings into insights and actions, as well as their implications to the overall business
• Gather and compile industry data/macro trends to create analysis to determine impacts to business and/or specific strategic initiatives
• Monitor and analyze competitive market strategies by examining the trends, markets, and common factors/promotions
• Provide recommendations for future tactics, seeking to increase sales volume
• Present detailed marketing strategies and recommendations to marketing and finance departments
• Perform ad-hoc analysis and other job-related analysis as assigned
• Stay up-to-date with industry trends and best practices in data analysis and apply them to continuously improve data analysis processes

What You've Accomplished

• Bachelor's degree in a related field such as mathematics, statistics, computer science, or a related field
• 7+ years of experience in data analysis, with a focus on marketing data analysis
• Strong proficiency in SQL and 3+ years of experience working with data visualization tools/ecosystems such as Tableau
• Excellent problem-solving skills and ability to translate data-driven insights into actionable recommendations
• Ability to communicate complex data-driven insights to non-technical stakeholders in a clear and concise manner
• Strong project management skills and ability to work effectively with cross-functional teams
• Familiarity with statistical analysis, predictive modeling, and machine learning is a plus
• Demonstrated ability working on medium-to-large descriptive, diagnostic, predictive or prescriptive analytic projects all the way through from design to launch
• Experience with Snowflake
• Experience with the OKR framework
• Knowledge of the cannabis marketplace preferred