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Listed on Feb 04, 2025
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Job Descritpion of Data modelling Consultant

6 to 8 Years Relevant Experience

  • Strong proficiency in data modeling concepts, including entities, relationships, normalization, and master/reference entities.
  • Knowledge of the Pharma domain (Clinical, Medical, Regulatory) is preferred.
  • Experience in the development and maintenance of logical data models, and transforming them into physical database designs for staging areas, data warehouses, and data marts.
  • Ability to create DDL for database objects and migration scripts to load data into new structures when required, including mapping source to target databases and documenting transformation rules.
  • Extensive experience in logical and physical relational data modeling using tools like Erwin.
  • Proficiency in business process modeling and logical data models.
  • Strong communication skills with a history of interacting with business SMEs and architects.
  • Experience using data modeling tools such as ERWIN and ER Studio for building information models.
  • Understanding of data requirements within audit and control frameworks.
  • Nice-to-have: Knowledge of ER Studio, life sciences domain knowledge, and previous experience in roles like DBA.
  • Identify the necessary business processes, systems, and data to address business problems effectively.
  • Support data governance by mapping out the data flow across the value chain, ensuring key stakeholders, including data producers and consumers, are easily identifiable.
  • Propose business rules based on the outcomes of data analysis to enhance decision-making.
  • Identify and define the business concepts (entities), their formats, and the relationships between concepts, and represent them in both Conceptual and Logical Models.
  • Collaborate with stakeholders to define data elements, create controlled vocabularies, and ensure alignment with external standards.

Required Skills for Data modelling Consultant Job

  • Data modelling

Our Hiring Process

  • Screening (HR Round)
  • Technical Round 1
  • Technical Round 2
  • Final HR Round
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