Hiring organization : IT Company

Salary : Not disclosed , Experience : 8 years

Data Modeler Job in Pondicherry Ahmedabad Delhi Bangalore :

Job location : Pondicherry , Ahmedabad ( Gujarat ) Delhi , Bangalore (Karnataka ) India

Responsibilities

• Manage and oversee all activities defining client business data assets in alignment with the Client Data & Analytics Strategy.
• Influence and contribute to the client’s Data & Analytics Strategy to drive business outcomes.
• Discover and document data and analytics requirements across the enterprise.
• Design and implement data models using tools like Visio or Erwin, including dimensional modeling, star schema, snowflake schema, and data vault.
• Create mapping documents and coordinate with ETL and testing teams for implementation.
• Interact with architects, business stakeholders, and cross-functional teams to gather, validate, and obtain signoffs on requirements.
• Manage multiple initiatives and projects from inception to delivery.
• Maximize value from data and analytics by surfacing priorities and enhancing decision-making.
• Conduct business data modeling and enable enterprise data management.
• Ensure the security of data and analytic assets.
• Improve Datahub performance and ensure optimal data architecture and solution design.

Requirements :

1. Education: Degree in Computer Science, Information Systems, or a related field.
2. Experience:
   • Minimum 8 years in IT, with at least 3 years in information system design or data architecture.
   • Hands-on experience in designing and implementing information solutions, including transactional modeling, dimensional modeling (star schema, data vault).
   • Experience managing multiple projects or initiatives from start to finish.
3. Technical Skills:
   • Strong knowledge of data warehouse design, data architecture, and enterprise data management programs.
   • Proficiency in data modeling tools (Visio, Erwin) and creating mapping documents for ETL.
   • Ability to design, adjust, and justify data models on the fly.
4. Leadership & Soft Skills:
   • Strong leadership and people management experience, capable of inspiring and coaching teams.
   • Ability to analyze project, program, and portfolio needs, overcome cross-functional barriers.
   • Excellent communication, relationship-building, and stakeholder management skills.
   • Strategic thinker with analytical, problem-solving, resilient, and results-focused mindset.
   • High standards of business ethics, cultural awareness, and emotional intelligence.
5. Desirable: Hands-on experience with data and analytics management programs.
6. Passion for contributing to the organization’s mission and growing a leading global investment company.