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Data Modeler

Job Description

Description

At TechBiz Global, we provide recruitment services to our top-tier clients across multiple industries. We are currently seeking a Data Modeler to join our client’s team and drive the design, development, and optimization of enterprise data models.

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.

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