Data Modeler

The Teradata DM/BA’s role is a multi-faceted role, active as part of end-to-end project delivery as well as in pre-sales cycles for business exploration.

Teradata DM/BAs are responsible for the delivery of the business analysis and data design workstream for Teradata services delivery and must have a deep understanding of the fine points of the data arena: data warehousing, big data, data usage, tools, and analytics, in order to extract the correct requirements from our clients and correctly design solution from data perspective.

Responsibilities and duties:

As a DM/BA, you are responsible for the business analysis and data design workstream using Teradata methodologies and processes, including activities such as but not limited to:

• Data design – data modeling, data flow, data transformations
• Workstream scoping, planning and execution
• Requirements elicitation, definition and management (functional, non-functional) and associated documentation lifecycles
• Communications and stakeholder management
• Prototyping and UAT.
• Mapping business rules to logical model
• Perform recommendation for transfer of logical model to Physical model

Basic requirements:

• 8+ years’ experience in similar role
• Degrees Computer Science, Engineering or other related areas is desirable
• Knowledge/Experience in Data warehousing, big data, data modeling and data analysis
• Industry experience from one or more core industries (e.g. finance, insurance, Government, Taxation, telco) preferable Government.
• Familiarity with both traditional and agile IT project delivery and development cycles
• Requirements documentation and information gathering techniques
• Excellent written and oral English and Arabic with experience preparing and managing documentation of senior-level client deliverables in both languages.
• Excellent communication and presentation skills
• Detail focussed, resourceful, decisive, composed, problem-solver, flexible and adaptable
• Working effectively in multi-disciplinary and cross-organizational teams

Technical requirements:

Skills, Knowledge & Experience (M = Must have; S = Should have)

• Data architecture and data modeling (M)
• Data analysis (M)
• Advanced SQL (S)
• Data integration principles (M)
• Data integration software (S)
• BI tools: specification, development, and use (e.g. Tableau/QlikView/BO) (S)
• Requirements management tools: e.g. JIRA, Jama, Trello (S)
• DataOps and DevOps tools and principles (like git, Jenkins, code automation tools) (S)