Associate Manager, Retail Analytics

Cresco Labs is one of the largest public, vertically integrated, multistate operators in the cannabis industry. Our portfolio of in‑house cultivated and manufactured brands features some of the highest quality, most awarded and most popular cannabis products in America. With dozens of locations nationwide, our owned and operated Sunnyside® dispensaries provide a welcoming, positive, judgement‑free place to shop for anyone at any point on their cannabis journey.

Founded in 2013, Cresco Labs’ mission is to normalize and professionalize cannabis through our passionate employees. As stewards of the cannabis industry, our teams are constantly focused on supporting the needs of our fellow colleagues, consumers, customers, and communities alike. With a focus on Social Equity and Educational Development, our SEEDTM initiative ensures that our company reflects the communities in which we serve, ensuring equal opportunity for all to have the knowledge and resources to work in and own businesses in cannabis.

At Cresco Labs, we aim to revolutionize and lead the nation’s cannabis industry with a focus on quality and consistency of product, and to bring legitimacy to the industry with the highest level of integrity and professionalism.

At Cresco, we aim to lead the nation’s cannabis industry with a focus on regulatory compliance, product consistency, and customer satisfaction. Our operations bring legitimacy to the cannabis industry by acting with the highest level of integrity, strictly adhering to regulations, and promoting the clinical efficacy of cannabis. As Cresco grows, we will operate with the same level of professionalism and precision in each new market we move in to.

Cresco Labs Corporate is seeking a Sr. Data Analyst to support our Retail team. Within this role, you will be responsible for mining, analyzing, visualizing data and the insights it provides. Through those insights you will support Sunnyside’s retail initiatives, including analysis of customer purchase behavior, pricing, profitability, promotions, loyalty program, and competitive analysis. The role will be highly collaborative, working across all Retail cross‑functional teams (Merchandising, Marketing, Regional Operations, Commercial Strategy, Demand Planning, Finance, and IT teams).

• Analyze, mine, and aggregate data from internal and external sources, drawing actionable insights to present and visualize findings clearly to cross‑functional partners.
• Build and own cross functional tools and processes that go beyond standard business reporting to optimize decision‑making across multiple levels of organization.
• Establish relationships between retail sales performance and causal factors such as changes in pricing, assortment, and competitive activity. Ability to synthesize and explain results to decision makers on necessary actions.
• Provide pricing analysis and calculate ROI of retail promotions. Make recommendations to merchants such as right breadth, depth, and frequency of promotions.
• Create and manage reporting analytics for the Loyalty rewards program. Provide guidance to retail marketing on which levers should be pulled for each event goal.
• Assume the role of data and business expert for retail merchandising, operations, and marketing teams.
• Use creative problem‑solving skills to answer nuanced & complex business questions.
• Support development of the forecast budget and develop monthly customer purchase behavior decompositions in coordination with Demand Planning Team.
• Act as a liaison and source of truth between the business and BI team, ensuring Tableau dashboards are tailored to business reporting needs.
• Collaborate cross‑functionally with other team members to drive various initiatives forward.
• Leverage AI tools and large language models to design automated workflows and agent‑based interactions that accelerate routine analysis and surface deeper, more nuanced insights.

• 4+ years of experience in consulting, data science, quantitative marketing, merchandising, or related data‑driven field.
• Highly proficient in Microsoft Office, advanced Excel knowledge.
• Fami…