Remote Retail Data Analyst – Own Brand Reporting & Forecasting for careerzynith (Entry‑Level to Mid‑Level)

About careerzynith

careerzynith is a global leader in retail pharmacy and consumer health, serving millions of customers across a network of stores, e‑commerce platforms, and digital channels. With a heritage of innovation, careerzynith continuously redefines the shopping experience by blending data‑driven insights with a deep understanding of consumer behavior. Our Merchandise Planning Analytics team sits at the heart of this transformation, turning raw data into strategic actions that drive growth, improve profitability, and enhance the customer journey.

Why This Role Matters

In today’s fast‑moving retail environment, the ability to quickly analyze, interpret, and act on large data sets is a competitive advantage. As a Remote Retail Data Analyst you will be the analytical engine behind careerzynith’s own‑brand (private label) strategy. Your work will directly influence merchandising decisions, inventory allocation, and promotional planning for thousands of product SKUs, ensuring that our brand portfolio remains both profitable and aligned with consumer demand.

Role Overview

This is a six‑month contract position with the potential for extension or conversion to a permanent role. The position is fully remote, operating on Central Standard Time (CST) with a flexible schedule that must cover at least 30 hours per week. You will collaborate with a cross‑functional team of merchants, planners, finance professionals, and senior leaders to deliver actionable insights that shape the future of careerzynith’s non‑pharmacy merchandise.

Key Responsibilities

• Own the end‑to‑end reporting lifecycle for careerzynith’s private‑label brand, including data extraction, cleansing, analysis, and executive‑level presentation.
• Perform item‑level historical analysis to identify trends, seasonality, and performance drivers across thousands of SKUs.
• Develop forward‑looking forecasts that incorporate demand patterns, promotional calendars, and market dynamics.
• Design and maintain complex Excel models that synthesize large data sets into concise, decision‑ready dashboards.
• Produce ad‑hoc analytical requests from merchandising, planning, and finance stakeholders, translating business questions into data‑driven answers.
• Partner with the Merchandise Planning Analytics team to continuously improve reporting tools, automation scripts, and data quality processes.
• Communicate findings through clear PowerPoint decks, written summaries, and verbal briefings, tailoring the narrative to both technical and non‑technical audiences.
• Prioritize multiple assignments, manage deadlines, and adapt to shifting business priorities while maintaining a high standard of analytical rigor.

Essential Qualifications

• Education: Bachelor’s degree in a quantitative discipline such as Business Analytics, Finance, Economics, Statistics, or a related field.
• Experience: 3–5 years of professional experience in data analytics, financial analysis, assortment planning, or retail merchandising.
• Retail Knowledge: Demonstrated understanding of retail merchandising fundamentals, including category management, inventory turnover, and profit‑margin analysis.
• Excel Mastery: Advanced proficiency with Microsoft Excel, including complex formulas (SUMIFS, VLOOKUP, HLOOKUP), pivot tables, macros, and data visualization techniques.
• Communication Skills: Ability to craft compelling stories with data, delivering concise written reports and persuasive presentations in PowerPoint.
• Analytical Acumen: Strong problem‑solving capabilities, with a track record of building quantitative models that influence business decisions.
• Collaboration: Proven ability to develop effective working relationships with cross‑functional teams, including Merchandising, Planning, and Finance.
• Self‑Management: Demonstrated independence, resilience, and adaptability in a remote work environment.

Preferred (Nice‑to‑Have) Qualifications

• MBA or advanced degree in a STEM‑focused discipline (e.g., Data Science, Engineering, Mathematics).
• Hands‑on experience with data‑science tools or programming languages such as SQL, Python, or R.
• Previous retail experience, particularly within a large, multi‑channel organization.
• Familiarity with Microsoft Access, macro development, or other automation platforms.
• Exposure to advanced forecasting techniques, demand‑sensing algorithms, or predictive analytics.

Core Skills & Competencies

• Quantitative Analysis: Ability to dissect large data sets, identify patterns, and translate numbers into strategic recommendations.
• Storytelling with Data: Skill in turning complex analyses into clear, actionable narratives for senior leadership.
• Time Management: Efficiently juggle multiple projects, meet tight deadlines, and maintain high quality under pressure.
• Technical Proficiency: Advanced Excel, intermediate PowerPoint, and solid Word skills; familiarity with data‑visualization best practices.
• Stakeholder Management: Build trust and rapport across diverse functional groups, ensuring alignment and shared ownership of outcomes.
• Continuous Learning: Curiosity to stay current on retail trends, analytical methodologies, and emerging technologies.

Work Environment & Culture at careerzynith

careerzynith embraces a flexible, results‑oriented culture that empowers employees to thrive from any location. Our remote workforce enjoys:

• Fully virtual collaboration tools that keep teams connected across time zones.
• A supportive leadership team that values transparency, mentorship, and professional growth.
• Regular virtual “coffee chats,” knowledge‑sharing sessions, and community‑building events.
• An inclusive environment where diverse perspectives are celebrated and innovation is encouraged.

Compensation, Perks & Benefits

While specific salary details will be discussed during the interview process, candidates can expect a competitive compensation package that reflects market rates for remote analytics talent. Additional benefits typically include:

• Health, dental, and vision insurance options.
• Retirement savings plans with employer matching contributions.
• Paid time off and flexible holiday schedules.
• Professional development stipend for certifications, courses, or conferences.
• Access to cutting‑edge analytics tools and software licenses.
• Employee assistance programs and wellness resources.

Career Growth & Learning Opportunities

careerzynith is committed to nurturing talent from within. As a Remote Retail Data Analyst you will have pathways to advance into senior analytics, merchandising strategy, or data‑science leadership roles. The organization offers:

• Mentorship from seasoned merchandisers and data scientists.
• Cross‑functional project exposure that broadens business acumen.
• Structured learning tracks covering advanced Excel, SQL, and predictive modeling.
• Opportunities to lead high‑impact initiatives that directly influence the company’s bottom line.

Application Process

If you are passionate about turning data into strategic advantage, thrive in a remote setting, and are eager to contribute to a market‑leading retailer, we want to hear from you. Please submit your resume and a brief cover letter outlining your relevant experience and why you are excited about the role at careerzynith.

Apply Now – Join careerzynith’s Analytics Team!

Closing Statement

At careerzynith, your analytical expertise will not only be recognized—it will be instrumental in shaping the future of our brand portfolio. Join a forward‑thinking team, work from the comfort of your home, and make a measurable impact on a global retail powerhouse. We look forward to welcoming a data‑driven storyteller who is ready to drive success for careerzynith and its customers.