Required Skills:
- Reltio MDM
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Master Data Management
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MDM Match & Merge Rules
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Data Quality Management
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Data Integration & Modeling
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Data Warehousing
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SQL / Database
Designation | Reltio MDM Analyst Qualification | BE, B Tech, MCA, Graduate Experience (in years) | 4 Job Description | Technical Competencies: • Overall 4-7 years of experience on Master Data Management and Data Warehousing with 2+ years of experience in Customer MDM implementations • Extensive Master Data Management skills required with minimum 2 years of Reltio hands on experience • Should be strong in MDM Concepts and Configurations • Match rules (Exact, fuzzy, EoN, EoaN, Match if, Negative Match, etc.) • Quality Assessment, Survivorship rules, API calls • Merges (Auto/Potential/Orphans) • Data Profiling, Data quality management, Data monitoring, Data modeling/concepts, Data Integrations, Metadata management, Enterprise Data warehouse and data mart design, Business Intelligence/Analytics – protocols and practices • Database management expertise: Oracle, SQL Server, etc. • Providing productions support for specific projects. • Knowledge in manufacturing industry domain is an added advantage. Business / Soft Skills • Should have good logical and analytical skills • Should be a good team player • Should have good communication skills • Should be willing to work in development, migration & support phases of the project • Ability to challenge status quo and lead discussions in the right direction • Ability to collaborate with various teams locally and globally • Ability to articulate thoughts and ideas clearly • Data-driven mindset, Ability to clearly communicate complex business problems and technical solutions Skill Set Required | Technical Competencies: • Overall 4-7 years of experience on Master Data Management and Data Warehousing with 2+ years of experience in Customer MDM implementations • Extensive Master Data Management skills required with minimum 2 years of Reltio hands on experience • Should be strong in MDM Concepts and Configurations • Match rules (Exact, fuzzy, EoN, EoaN, Match if, Negative Match, etc.) • Quality Assessment, Survivorship rules, API calls • Merges (Auto/Potential/Orphans) • Data Profiling, Data quality management, Data monitoring, Data modeling/concepts, Data Integrations, Metadata management, Enterprise Data warehouse and data mart design, Business Intelligence/Analytics – protocols and practices • Database management expertise: Oracle, SQL Server, etc. • Providing productions support for specific projects. • Knowledge in manufacturing industry domain is an added advantage.
