Marketing Data Analyst

Marketing Data Analyst

We have a fantastic opportunity to join our CITY Furniture Technology Team. Our Marketing Data Analyst participates in developing reports, dashboards, data visualizations, and models in support of different layers of business in the Marketing departments in order to provide strategies, suggestions, and recommended next steps to team members and upper management. In addition, our Marketing Data Analyst will be responsible for digesting the reports, dashboards, and data, and communicating strategies and learnings to the different levels of the Marketing department. This position will also be required to visualize analytics insights and findings to stakeholders, and champion self-created marketing analytics initiatives.

The ideal candidate has excellent verbal and writing communication skills, an analytical mindset, problem-solving skills, and a teamwork mentality.

The Marketing Data Analyst is looking for a company to build a career. With over 30 CITY Furniture and Ashley Home Store locations throughout Florida, CITY Furniture continues to be recognized as one of the top furniture companies in South Florida and in the top 30 nationwide. With planned local growth, plus growth into new markets over the next several years, the City Furniture team is excited about the future. Join our fun, family-spirited team to build a long-lasting career at a company that will continue to challenge, develop, and appreciate its Associates.

Benefits:

• Comprehensive Health Insurance Package
• Onsite Health Clinic
• 401k with employer match
• Associate Discount Program
• Tuition Reimbursement
• Paid Vacation
• Promote-from-within culture, with A LOT of opportunities to grow
• And MANY more

Job Requirements

Education:

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

Work Experience:

• 3+ Years of experience in Data Science, Marketing analytics, or equivalent.

Computer Knowledge and Skills:

• Below is the list the computer programs, software applications and skills that are required for this position:
  • Strong mathematical, analytical, statistical experience
  • Strong Excel Experience
  • Some Business Intelligence Tool Experience: Tableau, PowerBI, Cognos, etc.