Part‑Time Remote Data Entry & Marketing Analyst – Flexible Schedule Supporting careerzynith’s Retail Health Initiatives (careerzynith‑Part‑Time)

About careerzynith careerzynith is a leading, nationally‑recognized health and retail organization headquartered in Woonsocket, Rhode Island. With a heritage that began as a chain of community pharmacies, careerzynith has evolved into a diversified health‑care ecosystem that includes retail locations, a robust pharmacy‑benefits manager, walk‑in clinics, specialty pharmacy services, telehealth platforms, and a major health‑insurance subsidiary. Our mission is to improve the health and well‑being of the communities we serve while providing rewarding career pathways for our employees. As a Fortune‑4 player in the health‑care sector, careerzynith combines cutting‑edge technology, data‑driven decision making, and a customer‑centric culture to deliver seamless experiences across pharmacy, retail, and digital channels. We are proud of our inclusive, collaborative environment where every team member can make a tangible impact on the lives of millions of customers. Why This Role Matters In today’s fast‑moving retail health landscape, accurate data entry and insightful marketing analysis are the twin engines that drive growth, optimize inventory, and enhance the customer experience. As a Part‑Time Remote Data Entry & Marketing Analyst , you will be a critical link between our data‑rich operations and strategic marketing initiatives. Your work will directly influence sales performance, promotional effectiveness, and the overall profitability of careerzynith’s product categories.

Key Responsibilities

Revenue & Profit Contribution: Support the achievement of sales and margin targets within assigned categories by ensuring data integrity and providing actionable insights. Data Analysis & Reporting: Extract, clean, and analyze large data sets from internal systems (e.g., inventory, sales, and pricing databases) to produce clear, concise reports for senior leadership. Category Planning Support: Assist in the development of category plans, including optimal SKU assortments, promotional calendars, and special project initiatives. Execution of Daily Merchandising Activities: Monitor plan‑ogram compliance, track limited‑time offers, and conduct real‑time analysis to recommend corrective actions when performance deviates from expectations. Cross‑Functional Collaboration: Partner with internal experts in merchandising, forecasting, finance, store operations, marketing, and store design to align data‑driven recommendations with business objectives. Inventory & Sales Trend Analysis: Break down sales trends and inventory levels to identify opportunities for stock optimization and reduction of out‑of‑stock situations. Competitive Intelligence: Maintain a competitive landscape database, uncover emerging market opportunities, and propose strategic responses. Market Research: Conduct research on consumer product preferences, pricing dynamics, and broader industry trends to inform category strategies. Continuous Improvement: Proactively suggest process enhancements, automation opportunities, and best‑practice methodologies to increase efficiency and accuracy.

Essential Qualifications

• Demonstrated experience with retail mathematics concepts (e.g., gross margin, sell‑through, inventory turnover) and a proven ability to apply them in a practical setting.
• Advanced proficiency in Microsoft Office Suite—particularly Excel (including pivot tables, VLOOKUP, and basic macros), Word, and PowerPoint.
• Familiarity with data‑entry platforms or database tools such as Access, SQL, or similar systems is highly desirable.
• Exceptional attention to detail and a strong commitment to data accuracy.
• Excellent written and verbal communication skills, with the ability to translate complex data into clear, actionable recommendations.
• Self‑motivated, organized, and capable of managing multiple priorities in a remote work environment.
• Willingness to travel up to 5‑10% of the time for occasional on‑site visits, training sessions, or collaborative workshops.

Preferred Experience & Skills

• Bachelor’s degree in Business, Marketing, Finance, Data Analytics, or a related field.
• Prior experience in a retail, pharmacy, or health‑care setting, especially within a data‑focused or marketing analytics role.
• Knowledge of retail pharmacy operations, pharmacy‑benefits management, or health‑care insurance products.
• Experience with data‑visualization tools such as Tableau, Power BI, or Looker.
• Ability to work independently while maintaining strong collaboration with virtual teams across multiple time zones