Job Description

Job Title
Merchandising Data Analyst
Job Description

City Furniture is continuing to grow and we are looking to add more talent to our Digital Marketing Department.  We are looking for a Merchandising Data Analyst to lead a team.  The primary responsibility is to develop reporting, dashboards, data visualizations, and modeling.  This person will own the Merchandise Analytics from end to end within our retail and digital presence in a fast-paced environment.


Responsibilities will include:

  • Combining reports, data discovery, data mining, dashboards, knowledge of internal data sets, and industry knowledge to provide strategy, recommendations, and recommended next steps to team members and upper management.

    Responsible for creating, condensing, automating, and optimizing current and new reporting, dash boarding, and visualization, processes to help support the Merchandising team on both a scheduled and ad hoc basis by leveraging BI Tools, Excel, R/Python, and other analytics tools

  • Responsible for creating predictive and descriptive models in accordance with the needs of the Merchandising Team by leveraging BI Tools, Excel, R/Python, and other analytics tools. Including but not limited to: Financing Prediction, Pricing Models, Delivery Models, Assortment Models, Etc.)

  • Combining business knowledge and holistic company strategy with historical data to own and build forecasts for store sales, category sales, margin, foot traffic, and other major merchandising KPI’s and initiatives in Excel, R, and/or Python.


  • Competitive Compensation Package

  • Year-end Performance Bonus

  • Comprehensive Health Insurance Package

  • 401k with employer match

  • Associate Discount Program

  • Tuition Reimbursement

  • Paid Vacation

  • Free Onsite Health Clinic (Tamarac)

  • Promote-from-within culture, with A LOT of opportunities to grow

Job Requirements

 Education and Qualifications Required:

  • BA, BS or degree in a business related or quantitative field (Economics, Math, Statistics, or Equivalent)

  • 3+ Years of experience in data science, merchandising analytics, or equivalent

  • Strong quantitative skills, proficient in R, Python, and SQL.

  • Strong mathematical, analytical, statistics skills

  • Strong Excel Experience

  • Some Business Intelligence Tool Experience: Tableau, PowerBI, Cognos, etc.

  • Some experience with data engineering and data management (specifically DB2 Data Warehouse)

  • Some data mining experience

  • Some data modelling and predictive modelling experience.

Tamarac Corporate Office - Tamarac, FL 33321 US (Primary)
Shift Type
Regular Business Hours

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

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