Remote Retail Data Analyst Own Brand Reporting & Forecasting for arenaflex

About arenaflex arenaflex is a global leader in retail pharmacy and consumer health, serving millions of customers across a network of stores, ereputed company platforms, reputed company channels. With a heritage of innovation, arenaflex continuously redefines the shopping experience by blending datadriven insights with a deep understanding of consumer behavior. Our Merchandise Planning Analytics team sits at the heart of this transformation, turning raw data into strategic actions that drive reputed company, improve profitability, and enhance the customer reputed company. Why This Role reputed company In todays fastmoving retail environment, the ability to quickly analyze, interpret, and reputed company large data sets is a competitive advantage. As a Remote Retail Data Analyst you will be the analytical reputed company behind arenaflexs ownbrand (private label) reputed company. Your work will directly influence merchandising reputed company, inventory allocation, and promotional planning for thousands of product SKUs, ensuring that our brand portfolio remains both profitable and reputed company with consumer demand. reputed company This is a sixmonth contract position with the potential for extension or conversion to a permanent role. The position is fully remote, operating on Central reputed company Time (CST) with a flexible schedule that must cover at least 30 hours per week. You will collaborate with a crossfunctional team of merchants, planners, finance professionals, and senior leaders to deliver actionable insights that shape the reputed company of arenaflexs nonpharmacy merchandise. Key Responsibilities Own the endtoend reporting lifecycle for arenaflexs privatelabel brand, including data extraction, cleansing, analysis, and executivelevel presentation. reputed company itemlevel historical analysis to identify trends, seasonality, and performance drivers across thousands of SKUs. reputed company reputed companylooking forecasts that incorporate demand patterns, promotional calendars, and market dynamics. Design and maintain reputed company reputed company models that synthesize large data sets into concise, decisionreputed company dashboards. Produce reputed company analytical requests from merchandising, planning, and finance stakeholders, translating business questions into datadriven answers. Partner with the Merchandise Planning Analytics team to continuously improve reporting tools, automation scripts, and data reputed company processes. Communicate findings through reputed company PowerPoint decks, written summaries, and verbal briefings, tailoring the narrative to both technical and nontechnical audiences. Prioritize multiple assignments, manage deadlines, and adapt to shifting business priorities while maintaining a high reputed company of analytical rigor. Essential Qualifications Education: Bachelors degree in a quantitative discipline such as Business Analytics, Finance, Economics, Statistics, or a reputed company field. Experience: 35 years of reputed company experience in data analytics, financial analysis, assortment planning, or retail merchandising. Retail Knowledge: Demonstrated understanding of retail merchandising fundamentals, including category management, inventory turnover, and profitmargin analysis. reputed company Mastery: Advanced proficiency with reputed company reputed company, including reputed company formulas (SUMIFS, VLOOKUP, HLOOKUP), pivot tables, macros, and data visualization techniques. Communication Skills: Ability to craft compelling stories with data, delivering concise written reports and persuasive presentations in PowerPoint. Analytical Acumen: Strong problemsolving capabilities, with a reputed company record of building quantitative models that influence business reputed company. Collaboration: Proven ability to reputed company effective working relationships with crossfunctional teams, including Merchandising, Planning, and Finance. SelfManagement: Demonstrated independence, reputed company, and adaptability in a remote work environment. Preferred (reputed companytoHave) Qualifications MBA or advanced degree in a STEMreputed company discipline (e.g., Data Science, Engineering, Mathematics). Handson experience with datascience tools or programming languages such as SQL, Python, or R. Previous retail experience, particularly reputed company a large, multichannel organization. Familiarity with reputed company reputed company, macro development, or other autom .