About the role
Position Summary:The Precisely/Evolve MDM Analyst will serve as e.l.f. Beauty’s primary technical owner of the Precisely/Evolve platform, driving data quality, enrichment, and master data management across customer, vendor, and product domains. This is a platform-forward role for someone who is hands-on with Precisely/Evolve workflows and brings the analytical mindset to continuously improve data health at scale. The ideal hire is proactive, technically sharp, and eager to build and improve, not just maintain.ResponsibilitiesPrecisely/Evolve Platform - Primary Focus
- Own the administration, configuration, and ongoing optimization of Precisely/Evolve for data quality, enrichment, matching, and survivorship across customer, vendor, and product master domains.
- Design, build, test, and deploy data quality rules, enrichment workflows, and matching/survivorship logic within the Precisely/Evolve platform.
- Monitor pipeline performance, proactively identify processing gaps or failures, and implement improvements to accuracy and throughput.
- Evaluate and adopt new Precisely/Evolve features and product updates relevant to e.l.f.’s data environment.
- Develop and maintain technical documentation for all Precisely/Evolve workflows, configurations, and data quality rules.
- Serve as the internal subject matter expert on the Precisely/Evolve platform, supporting onboarding, training, and troubleshooting for business and IT users. MDM Domain Knowledge — Required Foundation
- Apply master data management principles across customer, vendor, and product domains to define what “good data” looks like — including data standards, field-level rules, hierarchy structures, and source-of-truth logic.
- Design matching and survivorship rules grounded in business context: understanding which record wins, why, and what the downstream impact is if that logic is wrong.
- Develop and enforce data quality thresholds by domain, with clear understanding of business consequences for each type of quality failure.
- Partner with data owners to define and document master data standards that translate directly into platform configuration. Cross-Domain Data Stewardship
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- Apply technical and domain expertise across all three master data domains — customer, vendor, and product — ensuring consistency, completeness, and accuracy across platforms and downstream systems.
- Partner with Operations, Supply Chain, Finance, and IT to understand domain-specific requirements and translate them into technical rules, validation logic, and platform configuration.
- Collaborate with IT on integration design to ensure Precisely/Evolve outputs flow correctly into connected systems including SAP.