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Tiger Analytics

Delivers Data and AI transformation

Master Data Management Leader

Data ManagementConfirmed live in the last 24 hours
Full-timeDallas, TX, USANo salary listedIn-person

About the Job

Requirements

  • Extensive experience in Master Data Management, including metadata management, data migration, data security, and data transformation or conversion.
  • Extensive experience in the consumer packaged goods domain.
  • Experience with extract, transform, and load processes and advanced SQL skills.
  • Intermediate skills in requirements gathering and elicitation, documentation, and source-to-target mapping.
  • Working knowledge of SAP Master Data Governance.
  • Working knowledge of conceptual, logical, and physical data modeling concepts and database design concepts.
  • Practical experience working in an Agile methodology.
  • Strong experience in consulting, stakeholder management, and the analytics space.

Responsibilities

  • Define, design, and build dimensional databases to meet business needs.
  • Assist with applying and implementing data standards, guidelines, and coding structures, and with data replication to ensure access to and integrity of data sets.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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