Entry-Level Remote Data Analyst – Own Brand Reporting & Forecasting Specialist at careerzynith (6‑Month Contract with Extension Potential)
About careerzynith
careerzynith is a global leader in retail pharmacy, renowned for its innovative approach to merchandising, data‑driven decision making, and customer‑centric product strategies. With a footprint that spans dozens of countries and a workforce that embraces flexibility, careerzynith empowers its teams to shape the future of retail through technology, analytics, and a relentless focus on value creation. As a forward‑thinking organization, careerzynith invests heavily in talent development, cutting‑edge tools, and a culture that celebrates curiosity, collaboration, and continuous improvement.
Why This Role Matters
In today’s hyper‑competitive retail environment, the ability to turn raw data into actionable insight is a decisive advantage. This Remote Analyst position sits at the heart of careerzynith’s Merchandise Planning Analytics team, supporting more than 100 merchants and 40 planners who drive the performance of the company’s non‑pharmacy front‑end businesses. By delivering precise reporting, deep‑dive analysis, and forward‑looking forecasts for careerzynith’s own‑brand (private label) portfolio, you will directly influence product assortment, pricing strategy, and inventory optimization across thousands of SKUs.
Role Summary
As a Remote Analyst on a six‑month contract (with strong potential for extension or conversion), you will own the end‑to‑end lifecycle of own‑brand data—from historical performance recaps to future demand forecasting. You will work independently while collaborating closely with merchandising, planning, finance, and technology partners. Your analytical rigor, storytelling ability, and mastery of advanced Excel techniques will enable senior leadership to make informed, profit‑maximizing decisions.
Key Responsibilities
- Own‑Brand Reporting & Recap: Generate daily, weekly, and monthly performance dashboards that summarize sales, sell‑through, profit margins, and inventory health for thousands of private‑label items.
- Ad‑Hoc Analysis: Respond quickly to business requests by designing custom analyses that uncover trends, identify gaps, and recommend corrective actions.
- Item‑Level Historical Review: Conduct deep historical analysis at the SKU level, leveraging past sales, promotional lift, and seasonal patterns to build a robust baseline.
- Future Forecasting: Develop forward‑looking demand forecasts using quantitative techniques, incorporating variables such as promotional calendars, market trends, and supply constraints.
- Data Synthesis & Storytelling: Transform large, complex data sets into concise executive summaries and visual presentations that clearly articulate insights and recommendations.
- Tool Development: Build and maintain sophisticated Excel models—including macros, pivot tables, and advanced formulas—to automate repetitive tasks and improve data accuracy.
- Cross‑Functional Collaboration: Partner with merchandising, planning, finance, and IT teams to ensure alignment on data definitions, reporting cadence, and strategic priorities.
- Process Improvement: Identify opportunities to streamline data collection, validation, and reporting processes, championing best practices across the analytics community.
- Documentation & Knowledge Sharing: Create clear documentation for models, methodologies, and data sources to facilitate knowledge transfer and onboarding of new analysts.
Essential Qualifications
- Bachelor’s degree in Business, Finance, Economics, Statistics, Mathematics, or a related quantitative field.
- 3–5 years of professional experience in data analytics, financial analysis, assortment planning, retail merchandising, or a closely related discipline.
- Demonstrated expertise in retail merchandising fundamentals, including category management, inventory turnover, and profit‑margin analysis.
- Advanced proficiency in Microsoft Excel (SUM/SUMIFS, VLOOKUP/HLOOKUP, pivot tables, array formulas, macros, and data visualization).
- Strong written and verbal communication skills, with the ability to craft compelling PowerPoint decks for senior leadership.
- Proven ability to manage multiple priorities, meet tight deadlines, and thrive in a fast‑paced, remote work environment.
- Experience working with cross‑functional teams and building collaborative relationships across merchandising, planning, and finance.
- Solid understanding of retail math concepts such as sell‑through, average unit retail (AUR), gross margin, and inventory turnover.
Preferred (Nice‑to‑Have) Qualifications
- MBA or advanced degree in a quantitative discipline (e.g., Data Science, Operations Research, Engineering).
- Hands‑on experience with data‑science tools or programming languages such as SQL, Python, R, or Microsoft Access.
- Prior exposure to retail or consumer‑goods environments, especially within private‑label or own‑brand categories.
- Familiarity with statistical forecasting methods, demand‑sensing techniques, or machine‑learning models.
- Experience building automated reporting solutions using VBA, Power Query, or Power BI.
Core Skills & Competencies
- Analytical Rigor: Ability to dissect large data sets, identify patterns, and draw logical conclusions that drive business impact.
- Storytelling & Presentation: Translate complex quantitative findings into clear, persuasive narratives for non‑technical audiences.
- Problem‑Solving: Proactively anticipate challenges, develop creative solutions, and iterate quickly based on feedback.
- Self‑Management: Demonstrated discipline to work independently, set priorities, and maintain productivity in a fully remote setting.
- Collaboration: Strong interpersonal skills to influence and partner with stakeholders across diverse functional areas.
- Technical Acumen: Mastery of Excel, solid working knowledge of PowerPoint and Word, and a willingness to learn additional analytical tools.
Tools & Technologies
While Excel will be the primary platform for this role, you will also interact with:
- Microsoft PowerPoint for executive‑level presentations.
- Microsoft Word for documentation and reporting templates.
- Potential exposure to SQL databases, Microsoft Access, or other data‑extraction tools (nice‑to‑have).
- Collaboration platforms such as Microsoft Teams, Slack, or Zoom for remote communication.
Learning & Development Opportunities
careerzynith is committed to the professional growth of its analysts. In this role, you will have access to:
- Mentorship from senior data scientists and merchandising strategists.
- On‑the‑job training in advanced forecasting techniques and retail analytics.
- Company‑wide webinars on emerging retail trends, data visualization, and automation.
- Potential pathways to full‑time positions within careerzynith’s analytics, planning, or merchandising divisions.
- Support for certifications such as Microsoft Office Specialist (Excel) or Certified Business Analysis Professional (CBAP).
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects the expertise required for this role. While exact figures will be discussed during the interview process, candidates can expect:
- A market‑aligned hourly or salaried rate for the six‑month contract, with the possibility of a conversion bonus if the role transitions to permanent status.
- Flexible remote work arrangements, with a core schedule aligned to Central Standard Time (CST) and a minimum of 30 hours per week.
- Paid time off, sick leave, and holidays in accordance with arenaxflex’s global policies.
- Access to a comprehensive health, dental, and vision benefits suite (for eligible full‑time conversions).
- Professional development stipend for courses, certifications, or conferences.
- Employee assistance programs, wellness resources, and virtual social events to foster community.
Work Environment & Culture at careerzynith
careerzynith champions a culture of inclusion, curiosity, and empowerment. As a remote analyst, you will experience:
- Autonomy: Freedom to structure your day, choose tools, and drive projects from start to finish.
- Collaboration: Regular virtual stand‑ups, cross‑functional workshops, and open‑door policies that encourage idea sharing.
- Diversity & Inclusion: A workforce that reflects a broad range of backgrounds, perspectives, and experiences.
- Innovation Mindset: Opportunities to experiment with new analytical approaches, automation, and data‑visualization techniques.
- Recognition: Performance is celebrated through peer‑recognition programs, quarterly awards, and transparent career pathways.
Application Process
Ready to bring your analytical expertise to careerzynith and help shape the future of retail merchandising? Follow these steps to apply:
- Prepare an updated resume that highlights your experience with Excel, retail analytics, and any relevant forecasting projects.
- Draft a concise cover letter that explains why you are passionate about own‑brand analysis and how your skill set aligns with the responsibilities outlined above.
- Submit your application through the dedicated portal linked below. You will receive an automated confirmation upon receipt.
- If selected, you will be invited to a virtual interview series that includes a technical assessment, a case‑study discussion, and a cultural fit conversation with careerzynith leaders.
- Successful candidates will receive an offer outlining contract length, compensation, and next steps for onboarding.
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Join careerzynith and Make an Impact
If you thrive in a data‑rich environment, enjoy turning numbers into narratives, and are eager to contribute to a world‑class retail organization, careerzynith wants to hear from you. This role offers a unique blend of analytical challenge, strategic influence, and professional growth—all from the comfort of your home office. Take the next step in your career and become a key player in careerzynith’s journey to redefine retail excellence.
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