About the job Entry Level Data Entry Clerk / Remote Remote Analyst We have an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion. Summary The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses. Work Environment 100% remote – must work in CST 8am-5pm (9 hour day with one hour lunch break 12pm-1pm). The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs. Responsibilities Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs. Item level historical analysis and recapping. Scope will be thousands of Own Brand items at item level. System/tool used is Excel. Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps. Top Must-Have Skills Bachelor's Degree and at least 3-5 years of experience in analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising. Minimum 3 years experience in data analytics or related field with strong understanding of retail merchandising basics (category management) and merchandising organization structures and processes. Outstanding analytical and problem‑solving skills partnered with storytelling finesse. Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel. Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint. Ability to manage and prioritize multiple assignments and meet tight deadlines. Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders. Ability to work independently and adapt to changing work priorities. Retail math background; skills such as item level forecasting based on demand patterns or sell-through/sales/profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics. Intermediate/Advanced level skill in Microsoft Excel (e.g., SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) – critical skill needed for role, most work will be done in Excel. Intermediate level skill in Microsoft Word and PowerPoint. Top Nice-to-Have Skills MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus. Data science experience. Education / Experience Requirements 3-5 years experience in Analytics or Data Science, Merchandising background. #J-18808-Ljbffr
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