Senior Analyst, Retail Data

Summary

Join Cresco Labs as a Sr. Data Analyst to support the Retail team. You will analyze data, visualize findings, and provide insights to optimize retail initiatives. Responsibilities include pricing analysis, loyalty program reporting, and collaboration with cross-functional teams. The ideal candidate possesses 4+ years of experience in a data-driven field, a Bachelor's degree, and strong analytical skills. Cresco Labs offers a comprehensive benefits package including health insurance, retirement plan, paid time off, and more.

Requirements

• 4+ years of experience in consulting, data science, quantitative marketing, merchandising, or a related data-driven field
• Bachelor’s degree in Business, Economics, Operations (or similar)
• Highly proficient in Microsoft Office, advanced Excel knowledge
• Familiarity with relational databases (SQL) and business intelligence tools (i.e., Tableau, Power BI)
• Ability to understand business operations, processes, and translate data into business insights that “tell a story” or aid decision-making
• Strong analytical skills with the ability to collect, organize, analyze and communicate data and information with attention to detail and accuracy
• Effective time management and prioritization skills.  Strong interpersonal & collaboration skills
• Must be 21 years of age or older to apply
• Must comply with all legal or company regulations for working in the industry

Responsibilities

• 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/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

Preferred Qualifications

Experience with sales data analytics strongly preferred

Benefits

• Major medical, dental and vision insurance
• A 401(K)-match program
• FSA/HSA programs
• LTD/STD options
• Life insurance and AD&D
• Paid holidays and paid time off
• Annual discretionary bonuses
• Stock options
• Participation in our employee discount program