Entry Level Data Entry Clerk​/Remote

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.

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.

• 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.

• 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.

• 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.

• MBA preferred;
  Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus.
• Data science experience.

• 3-5 years experience in Analytics or Data Science, Merchandising background.