**Job Title:** Remote Data Analyst - Retail Merchandising Expert
**Job Description:**
Unlock Your Potential as a Remote Data Analyst
We're seeking a highly skilled and detail-oriented Remote Data Analyst to join our team at a global leader in retail pharmacy. As a key member of the Walgreens Merchandise Planning Analytics team, you'll play a vital role in managing reporting, analysis, and tool building for the Walgreens Merchandising team.
Role Overview:
This is a 6-month contract opportunity with the potential for extension or conversion. As a Remote Data Analyst, you'll work 100% remotely, with a flexible schedule that requires a minimum of 30 hours per week. You'll be responsible for owning Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs.
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)
System/tool used is Excel
Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps
Requirements:
Bachelor's Degree and at least 3-5 years of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
Minimum 3 years experience in data analytics or other related field with 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 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 (for example: using 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
Preferred Qualifications:
MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
Data science experience
Retail experience
SQL Coding, Microsoft Access, Macro building
What We Offer:
We offer a competitive salary, flexible work schedule, and the opportunity to work with a global leader in retail pharmacy. If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply.
Apply Now
Apply Now
Unlock Your Potential as a Remote Data Analyst
We're seeking a highly skilled and detail-oriented Remote Data Analyst to join our team at a global leader in retail pharmacy. As a key member of the Walgreens Merchandise Planning Analytics team, you'll play a vital role in managing reporting, analysis, and tool building for the Walgreens Merchandising team.
Role Overview:
This is a 6-month contract opportunity with the potential for extension or conversion. As a Remote Data Analyst, you'll work 100% remotely, with a flexible schedule that requires a minimum of 30 hours per week. You'll be responsible for owning Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs.
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)
System/tool used is Excel
Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps
Requirements:
Bachelor's Degree and at least 3-5 years of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
Minimum 3 years experience in data analytics or other related field with 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 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 (for example: using 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
Preferred Qualifications:
MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
Data science experience
Retail experience
SQL Coding, Microsoft Access, Macro building
What We Offer:
We offer a competitive salary, flexible work schedule, and the opportunity to work with a global leader in retail pharmacy. If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply.
Apply Now
Apply Now