Remote Data Analyst

Jobsultant Solutions; Denver (CO); Remote; USD 70,000 - 90,000; Part time

Benefits offered by this job

Flexible working hours

Opportunity for extension or conversion

Job summary

A leading staffing firm is offering a position for a Remote Analyst to conduct data analysis and reporting for a prominent retail pharmacy. The role requires strong analytical skills, proficiency in Microsoft Excel, and a Bachelor’s degree. Candidates should have experience in analytics or data science, preferably in a retail context. The position offers a flexible work schedule and a chance for contract extension or conversion, making it ideal for adaptable and detail-oriented professionals.

Qualifications

• 3-5 years of experience in analytics, data science, or related fields.
• Strong understanding of retail merchandising basics and organizational structures.
• Ability to manage multiple assignments and meet deadlines.
• Outstanding analytical skills with the ability to synthesize large data sets.

Responsibilities

• Conduct detailed Own Brand reporting and analysis.
• Perform complex quantitative analysis using Microsoft Excel.
• Track and recap item level historical data.
• Communicate findings via Microsoft PowerPoint.

Skills

Analytical skills

Communication skills

Problem-solving skills

Retail math background

Microsoft Excel

Microsoft PowerPoint

Retail merchandising knowledge

Education

Bachelor’s Degree

Tools

Excel

Job description

Job Overview

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
• 8am-5pm (9 hour day with one hour lunch break 12pm‑1pm). Hours can be flexible but minimally need 30 hours a week.

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, or merchandising.
• Minimum 3 years experience in data analytics or a related field with a 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.
• 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., using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) – critical skill needed for this 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 with a 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.

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.