Data Analyst, Visual Merchandising Finance

3 days ago


Ahmedabad, Gujarat, India e.l.f. Beauty Full time ₹ 12,00,000 - ₹ 36,00,000 per year
About the Company
e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys and Naturium, high-performance, biocompatible, clinically-effective and accessible skincare.
In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 26 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last four fiscal years), equity, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry.
Visit our Career Page to learn more about our team: 
Job Summary: The Visual Merchandising (VM) Operations Analyst supports the global VM team by managing data reporting, purchase order tracking, and program analytics. This role plays a key part in ensuring operational efficiency across VM activities, including freight tracking, purchase order approvals, and cost analysis. The ideal candidate will have strong analytical and reporting skills with experience handling large data sets using tools like Power BI, SAP, and Airtable. Responsibilities
Roles & Responsibilities: 1. Reporting and Data ManagementCollaborate daily with the VM Program Manager and VM Admin on open purchase orders and ad-hoc reporting requests.Prepare weekly and monthly VM reports using large data sets for operational insights.Compile shipping and installation reports into individual trackers for each program or purchase order.Organize shipping, installation, and quote documentation into structured folders for easy reference. 2. Purchase Order (PO) ManagementMaintain a monthly list of open POs for fixed assets tracking and confirm monthly shipments linked to corresponding program folders.Run daily SAP approval reports to track PO status for North America and send approved PO PDFs to respective creators.Generate and share weekly reports of all newly entered POs, including tax amounts, with global VM team super users.Enter open POs weekly into the Airtable tracker for accurate shipping formula alignment.Update promotional trackers once POs are issued and ensure unit pricing is accurate. 3. Data Analysis and Insights (Power BI)Perform analysis of add/delete trays for North America programs by comparing against line lists, planogram types, and store assortments.Develop and execute custom analysis functions for large data sets to meet specific reporting or business needs.Provide clear, store-level reports by retailer on seasonal add/deletes and perform cost comparisons versus original quotes.Analyze CapEx and OpEx cost splits per planogram type for North American programs to support fixed asset reporting. Qualifications
  • Bachelor's degree in Business Administration, Data Analytics, Supply Chain, or related field.
  • 2–4 years of experience in operations, reporting, or data analysis; experience in retail or visual merchandising preferred.
  • Proficiency with Power BISAP, and Airtable (or similar data management tools).
  • Advanced Excel skills for data analysis, pivot tables, and reporting automation.
  • Strong organizational skills and ability to manage multiple reports and trackers simultaneously.
  • Excellent attention to detail, accuracy, and communication skills.
  • Ability to interpret data and provide actionable insights to cross-functional teams.
This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors' discretion.
e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice ) for how your personal information is used and shared. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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