Gazelle Global

Data Analyst / Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst / Modeler with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Requires 5 years of experience in data modeling, stakeholder management, and functional knowledge in Mortgages.
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 12, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Leeds, England, United Kingdom
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🧠 - Skills detailed
#Metadata #Monitoring #Data Modeling #Physical Data Model #ERWin #Data Analysis #Data Architecture #BI (Business Intelligence) #SQL (Structured Query Language) #DBA (Database Administrator) #Logical Data Model #"ETL (Extract #Transform #Load)"
Role description
Opportunity Data Modeler β€’ Develop data architecture solutions to unlock the data and insights necessary to support business users and strategic planning, monitoring Mortgage and Savings Portfolio. β€’ We are looking for someone with strong technical skills as well as stakeholder management. Key Skills/Knowledge: β€’ 5 years of hands-on experience with physical and relational data modeling. β€’ Knowledge of mathematical foundations and statistical analysis. β€’ Data Analysis and Modelling β€’ Creating Conceptual, Logical and Physical Data Models β€’ Stake Holder management β€’ Functional knowledge in Mortgages β€’ Advanced troubleshooting skills Key responsibilities β€’ Engage with business users to assess their information needs and review the business process and conceptualize the entities. β€’ Determine/Develop ER diagrams, logical data model. β€’ Transform the logical data model into physical model and work with DBA team to instantiate and manage the data. β€’ Collaborate with the BI and Analytics teams on creating the optimized, reusable semantic model, complete with metadata and lineage information. β€’ Optimize the model to ensure predictable performance. β€’ Maintain the metadata and its structure β€’ Recommend and establish standards, guidelines, and procedures for design and maintenance. β€’ Strong working skills in SQL, understanding of the basic principles of data warehousing and multi-dimensional data modelling. β€’ Has the ability to present data in a range of formats, while understanding the audience. β€’ Strategic thinker and able to make decisions based on sound judgement. β€’ Adaptable and willing to learn new skills. β€’ Experience in Erwin would be beneficial but not essential β€’ Experience in BFS would be beneficial but not essential