Associate Manager, Retail Analytics

Crescolabs; Chicago (IL); On-site; USD 60,000 - 70,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(K) match program

Paid holidays and paid time off

Annual discretionary bonuses

Stock options

Job summary

Cresco Labs is looking for a Senior Data Analyst to join their Retail team in Chicago. The role involves mining, analyzing, and visualizing data to support various retail initiatives including customer purchase behavior and pricing strategies.

The ideal candidate will have 4+ years of experience in a data-driven field and a strong background in tools like SQL and Tableau. This position offers a competitive salary and a comprehensive benefits package.

Qualifications

• 4+ years of experience in consulting, data science, or related field.
• Highly proficient in Microsoft Office and advanced Excel knowledge.
• Strong analytical skills with attention to detail.

Responsibilities

• Analyze and visualize data from internal and external sources.
• Build cross-functional tools to optimize decision-making.
• Provide pricing analysis and recommendations on promotions.

Skills

Consulting

Data Science

Quantitative Marketing

Microsoft Excel

SQL

Tableau

Power BI

Analytical Skills

Education

Bachelor's degree in Business, Economics, or Operations

Tools

Tableau

Power BI

Job description

Job Summary

Cresco Labs Corporate is seeking a Senior 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).

Core Job Duties

• Analyze, mine, and aggregate data from internal and external sources, draw 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 and 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.

Required Experience, Education and Skills

• 4+ years of experience in consulting, data science, quantitative marketing, merchandising, or related data‑driven field.
• Bachelor’s degree in Business, Economics, Operations (or similar).
• Highly proficient in Microsoft Office and advanced Excel knowledge.
• Familiarity with relational databases (SQL) and business intelligence tools (e.g., 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. Eligible employees also receive 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.

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.

In accordance with any local and state compensation laws, the compensation listed is the current estimated range for the position. Final offer details and future compensation may be determined by multiple factors including but not limited to geographic location, market compensation data, skills, experience, and other relevant factors.

Pay Range

$60,000 — $70,000 USD

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.