Associate Manager, Retail Analytics

Renew Cannabis Co.; Chicago (IL); On-site; USD 60,000 - 70,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) match

Paid holidays and time off

Discretionary bonuses

Stock options

Employee discount program

Job summary

Renew Cannabis Co. is looking for a Sr. Data Analyst to support our Retail teams in Chicago, Illinois. The role involves mining, analyzing, and visualizing data to enhance retail initiatives such as customer purchase behavior and profitability.

The ideal candidate will have at least 4 years of experience in data-driven fields, strong analytical skills, and proficiency in data tools including SQL and Tableau. Eligible employees will enjoy a comprehensive benefits package including medical insurance and a 401(k) match.

Qualifications

• 4+ years in consulting, data science, or quantitative marketing.
• Bachelor’s degree required.
• Proficient in Microsoft Office and advanced Excel skills.
• Familiarity with SQL and business intelligence tools.
• Strong analytical skills and attention to detail.

Responsibilities

• Analyze and visualize data for insights on retail performance.
• Build cross-functional tools beyond standard reporting.
• Provide pricing analysis and recommendations for promotions.
• Manage reporting analytics for the Loyalty rewards program.
• Use AI tools for automated workflows in analysis.

Skills

Data analysis

SQL

Excel

Tableau

Problem-solving

Time management

Collaboration

Education

Bachelor’s degree in Business, Economics, Operations

Tools

Tableau

Power BI

Job description

Job Summary

Cresco Labs Corporate is seeking a Sr. Data Analyst to support our Retail teams. 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).

Core Job Duties

• 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; 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 and complex business questions.
• Support development of the forecast budget and develop monthly customer purchase behavior decompositions in coordination with the 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.

Required Experience, Education and Skills

• 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, with advanced Excel knowledge.
• Familiarity with relational databases (SQL) and business intelligence tools (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.
• Experience with sales data analytics strongly preferred.
• Effective time management and prioritization skills; strong interpersonal and collaboration skills.

Benefits

Cresco Labs is proud to offer eligible employees a robust offering of benefits including major medical, dental, and vision insurance; a 401(k)‑match program; FSA/HSA programs; LTD/STD options; life insurance and AD&D. We also offer paid holidays and paid time off. Other rewards may include annual discretionary bonuses, stock options, and participation in our employee discount program. Benefits eligibility for permanent positions may vary by full‑time or part‑time roles, location, or position.

Pay Range

$60,000 - $70,000 USD

Additional Requirements

• Must be 21 years of age or older to apply.
• Must comply with all legal or company regulations for working in the industry.
• The company does not offer employment‑based visa sponsorship for this role or any other position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without the need for current or future sponsorship at any time.

Equal Opportunity Employer

Cresco Labs is an Equal Opportunity Employer and all applicants will be considered without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.