Experienced Data Entry Clerk / Remote Analyst – Retail Analytics and Reporting

Are you a detail-oriented and analytical individual with a passion for data-driven insights? Do you have a strong background in retail analytics and a knack for storytelling with numbers? We're seeking an experienced Data Entry Clerk / Remote Analyst to join our team at blithequark, a global leader in retail pharmacy, for a 6-month contract with the opportunity for extension or conversion.

About blithequark

blithequark is a dynamic and innovative company that's revolutionizing the retail pharmacy industry. With a strong focus on customer satisfaction and operational excellence, we're committed to delivering exceptional results and driving business growth. Our team is passionate about using data-driven insights to inform business decisions and drive strategic initiatives.

About the Role

As a Data Entry Clerk / Remote Analyst, you'll be an integral part of our Merchandise Planning Analytics team, which manages reporting, analysis, and tool building for the blithequark Merchandising team. You'll work closely with a team of 100+ merchants and 40+ planners to optimize performance of the blithequark Front End (non-Pharmacy) businesses. Your primary responsibilities will include: ### 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

### Work Environment

• 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

### Top Must-Have Skills

• Bachelors Degree and at least 3-5 year 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

### Top Nice-to-Have Skills

• 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

### Education / Experience Requirements

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

### What We Offer

• Competitive compensation package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Flexible work arrangements, including remote work options
• Comprehensive benefits package, including health, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off and holidays
• Access to cutting-edge technology and tools
• Collaborative and supportive team environment

### How to Apply If you're a motivated and detail-oriented individual with a passion for data-driven insights, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We can't wait to hear from you! Apply Job! Apply for this job