Job Overview:
We are seeking a highly skilled and motivated Remote Data Analyst to join our team at Workwarp, a leading technical staffing and services firm. As a Remote Data Analyst, you will have the opportunity to work with a global leader in retail pharmacy on a 6-month contract with potential for extension or conversion. You will be an integral part of the Walgreens Merchandise Planning Analytics team, providing critical support to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.
Key Responsibilities:
- Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
- Item level historical analysis and recapping
- Item level future looking forecast
- Scope will be thousands of Own Brand items (at item level)
- Utilize Excel to build complex models, analyze large data sets, and create meaningful executive recaps
Work Environment:
This is a 100% remote opportunity, with a requirement to work in the Central Standard Time (CST) zone. The standard working hours are 8am-5pm (9 hour day with one hour lunch break 12pm-1pm), with flexibility to accommodate business needs, requiring a minimum of 30 hours per week.
Requirements:
To be successful in this role, you should have:
- Bachelor's Degree and at least 3-5 years of experience in analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, or merchandising
- Minimum 3 years of experience in data analytics or a related field, with a strong understanding of retail merchandising basics and merchandising organization structures and processes
- Outstanding analytical and problem-solving skills, with the ability to communicate complex ideas effectively and succinctly
- Advanced Microsoft Excel skills, including complex formulas, macros, and pivot tables
- Ability to manage multiple assignments, prioritize tasks, and meet tight deadlines
- Retail math background, with skills such as item level forecasting, sales analysis, and inventory management
Nice to Have:
- MBA or advanced degree in a quantitative field
- Data science experience
- Retail experience
- SQL coding, Microsoft Access, or macro building skills
What We Offer:
A competitive salary, opportunities for professional growth and development, and the chance to work with a leading global retailer.
How to Apply:
If you are a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply. Please submit your application, including your resume and a cover letter, to be considered for this exciting opportunity.
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