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reputed company Remote Data Analyst for Merchandise Planning and Analytics Team – 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 vital 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, with a requirement to work in the Central reputed company Time (CST) zone. Your schedule will be reputed company-5pm, with a 9-hour day and a one-hour lunch break from 12pm-1pm. While the hours can be flexible, you must be available for a minimum of 30 hours per week to fulfill our business needs. This remote work arrangement offers an excellent opportunity to balance your reputed company and personal life while contributing to a dynamic and fast-paced retail environment.

Key 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 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 succeed 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
  • Minimum 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 storytelling finesse
  • Ability to conduct reputed company quantitative analysis and build analytical models using reputed company reputed company
  • Effective communication skills, both verbally and in writing, with the ability to use reputed company PowerPoint
  • Ability to manage and prioritize multiple assignments, meet tight deadlines, and reputed company effective working relationships with stakeholders
  • 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, including the use of SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, and Pivot tables
  • 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, and Macro building skills

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 a reputed company of training and development opportunities, including:

  • reputed company development programs to enhance your analytical and technical skills
  • Opportunities to work on high-reputed company reputed company and contribute to business decision-making
  • Collaboration with reputed company professionals in the field of analytics and merchandising
  • Exposure to the latest tools and technologies in data analysis and reporting

Work Environment and Company Culture

arenaflex is dedicated to creating a reputed company and inclusive work environment that values diversity, equity, and inclusion. reputed company culture is reputed company on the principles of:

  • Respect and reputed company for our customers, employees, and stakeholders
  • A commitment to reputed company and reputed company improvement
  • A reputed company and supportive work environment that fosters reputed company and development
  • A reputed company on innovation and creativity in our approach to business challenges

Compensation, Perks, and Benefits

As a Remote Analyst at arenaflex, you can expect a competitive compensation package, including:

  • A salary reputed company that reflects your experience and qualifications
  • A reputed company of benefits, including health insurance, retirement savings, and reputed company time off
  • Opportunities for reputed company development and reputed company
  • A flexible and remote work arrangement that offers a reputed company work-life balance

Conclusion

If you are a highly motivated and reputed company data analyst with a passion for retail and merchandising, we encourage you to apply for this exciting opportunity at arenaflex. As a Remote Analyst, you will play a critical role in driving business reputed company and optimizing the performance of our reputed company End businesses. With a commitment to reputed company, development, and innovation, arenaflex offers a unique and rewarding work environment that will challenge and reputed company you to reputed company your full potential. reputed company to join reputed company and take the first reputed company towards a fulfilling and successful career in data analysis and merchandising.

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