Job Title: Data Modeler

Introduction/Overview:
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Roles & Responsibilities:
- Analyze and understand business needs and requirements
- Translate business requirements into data models
- Design and develop conceptual, logical, and physical data models using various modeling techniques and tools
- Identify architectural risks and develop mitigation plans
- Establish and enforce data modeling standards and best practices
- Document data models for technical and non-technical audiences
- Define data quality rules to ensure accuracy and integrity of data
- Develop data strategies and data flows in collaboration with the development team
- Implement best practices for excellent data quality and minimal redundancy
- Collaborate with data architects and developers to ensure data models align with production systems
- Test and validate data models against functional and performance requirements
- Monitor and maintain data models to keep them up-to-date with evolving needs of the organization
- Stay updated on data modeling trends and technologies
- Manage enterprise metadata repository and ensure proper information flow and usage
- Ensure compliance with data governance policies and regulations
- Develop and maintain enterprise data model
- Implement cloud-based data models and optimize query and index strategy

Years of Experience:
- 6+ years of industry experience
- 3+ years of experience in Data Modelling, including Data Vault 2.0 modelling methods
- Ability to ramp up quickly on new methodology
- 4-5 years of hands-on PL/SQL development experience

Education Qualification:
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Skills/Knowledge:
- Strong understanding of relational database concepts and design principles
- Proficiency in data modeling tools such as Erwin and MagicDraw
- Familiarity with Data Warehouse modeling techniques (Inmon, Kimball)
- Expertise in Data Vault 2.0, Dimensional, and Conceptual/Logical/Physical Data Models
- Certifications in relational databases and OLTP Data Modelling
- Experience in development and reporting using PL/SQL, including packages, procedures, functions, and triggers
- Strong troubleshooting skills
- Excellent communication skills to collaborate with stakeholders and management consulting teams
- Experience working in an Agile environment
- Strong data analysis and data mining skills
- Advanced SQL knowledge
- Understanding of data security requirements and ability to work with security teams to protect information assets
- Familiarity with data classification methodologies
- Experience in RGM and CPG domain, particularly with Nielsen Data

Key Competencies:
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Domain/Industry:
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Employment Type:
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Company Overview:
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Benefits & Opportunities:
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Location & Travel:
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