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Salary
$18k – $41k per year (Estimated)
Location
Remote/Hybrid (Ahmedabad, India)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Beauty is a brand that aims to disrupt industry norms, shape culture, and connect communities through positivity, inclusivity, and accessibility. They offer a range of clean and cruelty-free products that provide premium quality at accessible prices. With a focus on delighting their consumers, e.l.f. Beauty is inspired by and values their customers, making them the core of everything they do. They believe in doing the right thing and lead with honesty and integrity, refusing to take shortcuts. Working together as a team is important to them, as they treat each other with respect and leverage each other's strengths. They prioritize execution with speed and quality, ensuring that their consumers have an exceptional experience with their products. Established in 2004, e.l.f. Cosmetics was the OG digital disruptor, and later expanded their portfolio to include W3LL PEOPLE and Keys Soulcare. With numerous awards and accolades, e.l.f. Beauty stands as a leading mass beauty brand that celebrates the beauty of every eye, lip, face, and paw. Sign up to stay up to date with their latest news and offerings.

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. Experience with SAP master data is strongly encouraged - the two platforms are closely linked in our environment - and candidates who bring dual platform fluency will have a meaningful advantage. The ideal hire is proactive, technically sharp, and eager to build and improve, not just maintain.

Responsibilities

    Precisely/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

        • 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.

Requirements

  • 5+ years of hands-on experience with Precisely (formerly Syncsort/Trillium) or Evolve, including workflow configuration, data quality rule development, and platform administration - required.
  • Demonstrated MDM domain knowledge across one or more of the following: customer master, vendor master, product/material master - required. Breadth across all three is a strong plus.
  • Ability to design matching, survivorship, and enrichment logic from first principles - not just execute pre-built configurations - required.
  • Experience with SAP master data management (Material Master, Customer Master, and/or Vendor Master) strongly preferred; dual Precisely/Evolve + SAP experience is a significant differentiator.
  • Proven ability to identify data quality gaps and proactively drive platform or process improvements.
  • Strong analytical and problem-solving skills with close attention to data detail and integrity.
  • Ability to work cross-functionally with business and IT teams, translating technical concepts clearly for non-technical audiences.
  • Excellent verbal and written communication skills in English; ability to collaborate effectively across time zones with global teams.
  • Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience.
  • Experience with SAP S/4HANA, SAP MDG (Master Data Governance), or data integration middleware a plus.
  • Beauty, retail, or consumer packaged goods industry background preferred but not required

Technical Skills

  • Precisely/Evolve - workflow configuration, data quality rules, enrichment, matching, and survivorship (required)
  • MDM domain knowledge - customer, vendor, and/or product/material master (required)
  • SAP ERP / S/4HANA - Material Master, Customer Master, and/or Vendor Master (strongly preferred)
  • SQL or equivalent querying tools for data analysis and investigation
  • Data integration concepts and API-based or batch data flows
  • Microsoft Excel (advanced) for data analysis, reconciliation, and reporting
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