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Ahmedabad, Gujarat
Live, first seen by us 81 days agoEmployment type Full Time
Employment type in the employer’s posting: Full TimeFrom the employer’s posting
Administer and optimize Precisely/Evolve for data quality, enrichment, matching and survivorship
Design, build, test and deploy data quality rules and matching logic
Monitor pipeline performance and fix processing gaps and failures
Document Precisely/Evolve workflows, configurations and data quality rules
Support business and IT users with onboarding, training and troubleshooting
Own the administration, configuration, and ongoing optimization of Precisely/Evolve for data quality, enrichment, matching, and survivorship
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.
Develop and maintain technical documentation for all Precisely/Evolve workflows, configurations, and data quality rules.
supporting onboarding, training, and troubleshooting for business and IT users
5+ years of hands-on experience with Precisely (formerly Syncsort/Trillium) or Evolve, including workflow configuration, data quality rule development, and platform administration — required.
SQL or equivalent querying tools for data analysis and investigation
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.
Ability to work cross-functionally with business and IT teams, translating technical concepts clearly for non-technical audiences.
Experience with SAP S/4HANA, SAP MDG (Master Data Governance), or data integration middleware a plus.
- 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's purpose is to make the world a better place for every eye, lip, and face.
In the employer’s words · Read in context
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Day 81
Up longer than most. Similar jobs usually come down between day 5 and day 57.
From 608 similar postings that came down. Coming down is not always a hire.
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- 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
- Data integration concepts and API-based or batch data flows - Microsoft Excel (advanced) for data analysis, reconciliation, and reporting 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.
Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us 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
- 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
- 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.
- 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
- 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
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We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Full Time
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Ahmedabad, Gujarat
In our Fiscal year 26, we had net sales of $1.6 Billion and our business performance has been nothing short of extraordinary with 7 consecutive years of net sales growth. This consistent, category-leading growth is a testament to the strength of our team, strategy, and portfolio of brands. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last seven fiscal years), equity, flexible time off, year-round half-day Fridays, 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: https://www.elfbeauty.com/work-with-us
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