Remote Data Analyst / HR

Jobsultant Solutions; Tucson (AZ); Remote; USD 65,000 - 85,000; Full time

Job summary

A leading technical staffing firm is looking for a Remote Data Analyst to support a global retail pharmacy. The role involves managing reporting and analysis for Own Brand items. Candidates should have 3-5 years of experience in analytics, strong Excel skills, and the ability to conduct complex analyses. This position offers the chance to work with a large merchandising team and help optimize business performance. The work schedule is flexible, requiring a minimum of 30 hours per week.

Qualifications

• At least 3-5 years of experience in analytics or data science.
• Strong understanding of retail merchandising processes.
• Ability to conduct complex quantitative analysis.

Responsibilities

• Manage Own Brand reporting and analysis.
• Provide item-level historical and future forecasts.
• Synthesize large datasets into meaningful recaps.

Skills

Data analysis

Communication skills

Excel proficiency

Problem-solving

Forecasting

Data visualization

Education

Bachelor's Degree in a relevant field

Tools

Microsoft Excel

Microsoft PowerPoint

SQL

Job description

About the job

Remote Data Analyst / HR

The Nations 2nd largest Technical Staffing and Services Firm, has 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
• 8 am–5 pm (9‑hour day with one‑hour lunch break 12 pm–1 pm). Hours can be flexible, but minimally require 30 hours a week to fulfill 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
• Item‑level future‑looking forecast
• Scope includes thousands of Own Brand items at item‑level
• System/tool used is Excel
• Project involves 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 (one or more)
• Minimum 3 years experience in data analytics or related field with strong understanding of retail merchandising basics (e.g., 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
• Retro 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; STEM degree a plus
• Data science experience
• Retail experience
• SQL coding, Microsoft Access, Macro building

Education / Experience Requirements

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

Equal Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable law.

PLEASE NOTE

Optimere is unable to sponsor visas at this time. You must be a U.S. Citizen or Permanent Resident authorized to work in the U.S.