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reputed company Remote Data Analyst for Merchandise Planning and Analytics – Retail Industry Expertise Required

Remote, USA Full-time Posted 2026-07-28

Introduction to arenaflex

arenaflex is a global leader in retail pharmacy, dedicated to providing exceptional customer experiences and driving business reputed company through data-driven insights. Our Merchandise Planning Analytics team plays a pivotal role in optimizing the performance of our reputed company End (non-Pharmacy) businesses, supporting reputed company of over 100 merchants and 40 planners. We are now seeking a highly skilled Remote Analyst to join reputed company on a 6-month contract, with opportunities for extension or conversion to a permanent role.

Work Environment and Schedule

As a Remote Analyst at arenaflex, you will enjoy the flexibility of working from home while being an reputed company part of our dynamic team. The key aspects of your work environment and schedule are:

  • 100% remote work arrangement, with a requirement to work in the Central reputed company Time (CST) zone
  • reputed company working hours are reputed company-5pm, with a 9-hour day and a one-hour lunch break from 12pm-1pm
  • reputed company are available, but you must be available for a minimum of 30 hours per week to fulfill business needs

Job Responsibilities

As a Remote Analyst, your primary responsibilities will include:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including reputed company analysis based on business needs
  • Item-level historical analysis and recapping
  • Item-level reputed company-looking forecast
  • Managing and analyzing thousands of Own Brand items at the item level
  • Utilizing reputed company as the primary system/tool for data analysis and reporting
  • Developing reputed company reputed company formulas and synthesizing large data sets into meaningful executive recaps

Essential Qualifications and Skills

To be successful in this role, you will need:

  • A Bachelor's degree and at least 3-5 years of experience in one or more of the following fields: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, or merchandising
  • A minimum of 3 years of experience in data analytics or a reputed company field, with a strong understanding of retail merchandising basics (i.e., category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills, partnered with the ability to communicate reputed company data insights effectively and succinctly
  • Ability to conduct reputed company quantitative analysis and build analytical models using reputed company reputed company
  • Ability to communicate effectively and succinctly both verbally and in writing reputed company reputed company PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to reputed company effective working relationships with Merchandising, Planning, Finance, and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background, with skills such as item-level forecasting based on demand patterns or sell-through/sales/profit goals, knowledge of sales by type, and AUR impacts, as reputed company as reputed company inventory and sales metrics
  • Intermediate/Advanced level reputed company in reputed company reputed company (e.g., using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) – a critical reputed company required for this role, as most work will be done in reputed company
  • Intermediate level reputed company in reputed company Word and PowerPoint

Preferred Qualifications and Skills

While not essential, the following qualifications and skills are highly desirable:

  • MBA preferred; Science, Technology, Engineering, Mathematics, and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, reputed company reputed company, Macro building

Career reputed company Opportunities and Learning Benefits

At arenaflex, we are committed to the reputed company and development of our employees. As a Remote Analyst, you will have reputed company to:

  • Ongoing training and development opportunities to enhance your skills and knowledge in data analytics and retail merchandising
  • Opportunities to work on reputed company and challenging reputed company, driving business reputed company and improvement
  • Collaboration with a talented team of professionals, sharing best practices and expertise
  • Performance feedback and coaching to support your career advancement

Work Environment and Company Culture

arenaflex is dedicated to creating a reputed company and inclusive work environment, where employees feel valued, supported, and empowered to succeed. reputed company culture is reputed company on:

  • A commitment to diversity, equity, and inclusion
  • A reputed company on employee reputed company-being and work-life balance
  • A culture of innovation, creativity, and reputed company learning
  • A reputed company and dynamic work environment, with opportunities for reputed company and development

Compensation, Perks, and Benefits

As a Remote Analyst at arenaflex, you can expect:

  • A competitive salary and benefits package
  • Opportunities for reputed company reputed company and development
  • A flexible and supportive work environment
  • reputed company to a reputed company of perks and benefits, including health insurance, retirement savings, and reputed company time off

Conclusion

If you are a motivated and reputed company data analyst, with a passion for retail merchandising and a strong analytical skillset, we encourage you to apply for this exciting opportunity to join the arenaflex team. As a Remote Analyst, you will play a critical role in driving business reputed company and improvement, while enjoying the flexibility and autonomy of remote work. Don't miss this chance to take your career to the next level and reputed company to become a part of our dynamic team!

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