Data Modeller
Role Overview
The Data Modeller designs, develops and maintains enterprise data models for analytics, reporting, AI, machine learning and business intelligence.
The role translates business needs into scalable data solutions and supports relational and NoSQL databases, operational data stores, data marts and data lakes.
The posting identifies the location as Yorkshire, United Kingdom, with hybrid working.
Key Skills for This Role
Full Job Posting
About EXL
EXL is a global data and AI company providing services and solutions across industries including insurance, healthcare, banking and financial services, media, and retail.
Role overview
The Data Modeller designs, develops and maintains enterprise data models for analytics, reporting, AI, machine learning and business intelligence.
The role translates business needs into scalable data solutions and supports relational and NoSQL databases, operational data stores, data marts and data lakes.
The posting identifies the location as Yorkshire, United Kingdom, with hybrid working.
Responsibilities
- Translate business requirements into scalable conceptual, logical and physical data models.
- Define data strategies, data flows and source-to-target mappings with business, architecture and application teams.
- Maintain metadata, data dictionaries and governance documentation.
- Improve models, performance, quality, consistency, integrity and reuse of data assets.
- Define modelling standards and naming conventions; reverse-engineer databases and SQL scripts.
- Analyze integration challenges, review designs and recommend scalable, maintainable solutions.
- Contribute to enterprise data architecture, data movement strategies, technology direction and governance.
- Ensure architecture deliverables meet enterprise standards and advise project teams and clients throughout the project lifecycle.
Experience and approach
- The description requests 7–10 years of implementation experience with one or more data modelling tools, including Erwin, ER/Studio or PowerDesigner.
- The description also requests a minimum of 8 years of data architecture, data modelling or similar experience.
- The role calls for strong technical expertise, stakeholder management, communication, critical thinking, collaboration and the ability to work independently and across teams.
Workplace
- Hybrid working is stated for Yorkshire, United Kingdom.
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