Sr. Analyst, Product Innovation, Master Data

e.l.f. BeautyOakland, CA
11h$80,000 - $90,000Hybrid

About The Position

The Product Innovation Master Data Analyst is responsible for ensuring the timeliness,accuracy, consistency, and integrity of product-related master data throughout the product development and innovation lifecycle. This role plays a critical part in enabling data-driven decision-making and seamless product launches by coordinating with cross- functional teams including R&D, Marketing, Regulatory, Supply Chain, and IT.

Requirements

  • Bachelor’s degree required.
  • High drive for results and willing to work in a demanding & rapid paced environment.
  • Excellent communication skills both verbal and written.
  • Excellent analytical, follow-up, and attention to detail skills.
  • Excellent Excel Skills and knowledge.
  • Proficient in Microsoft Suite (Word and PowerPoint).

Nice To Haves

  • Beauty industry, retail background and/or product life cycle management preferred.
  • System implementation experience a plus.

Responsibilities

  • Serve as the subject matter expert (SME) for product innovation master data across systems (e.g., PLM, ERP, MDM).
  • Ensure data standards and governance policies are applied during the creation and maintenance of product master data for new product development (NPD) and innovations.
  • Manage workflow for new products and product changes.
  • Summarize workflow statuses to the Project Management team.
  • Collaborate with Product Development, Regulatory, and Operations teams across the globe to gather and validate data requirements for new and modified products.
  • Create and maintain product records in PLM and/or MDM systems, ensuring timely and accurate entry aligned with stage-gate or agile product development processes.
  • Ensure synchronization across systems.
  • Identify and resolve data quality issues and drive root cause analysis and preventive actions.
  • Develop and maintain data KPI’s, SOPs and work instructions for master data processes supporting innovation.
  • Participate in data quality audits, reporting, and continuous improvement initiatives.
  • Support system enhancements and testing related to master data, including new integrations or data model changes.
  • Serve as a liaison between the IT and business-focused sides of the enterprise.

Benefits

  • competitive pay and benefits
  • bonus eligibility (200% of target over the last six fiscal years)
  • equity
  • flexible time off
  • year-round half-day Fridays
  • hybrid 3 day in office, 2 day at home work environment
  • medical, dental, and vision insurance
  • a retirement savings plan
  • gender neutral parental leave
  • unlimited paid time off
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