Data Modeller

1 week ago

Sydney, New South Wales, Australia Cognizant Technology Solutions Australia Pty Ltd Full time $120,000 - $180,000 per year

Cognizant is looking for a Data Modeller & Technical Business Analyst in developing customized product for our clients. The role is expected to drive technology discussions and analyze the current landscape for gaps in addressing business needs. Cognizant needs a motivated individual to challenge the status quo and provide thought leadership/best practices to enhance our current services and technologies.

Job Title: Data Modeller & Technical Business Analyst

Location: Sydney,AU

Duration : Full Time

We are seeking a seasoned professional to join our team in a hybrid work model. This unique role blends data Modelling expertise with technical business analysis, offering the opportunity to design and implement robust data solutions while engaging directly with stakeholders to translate business needs into actionable technical requirements.

Key Responsibilities:

Data Modelling:

  • Develop and maintain optimized data models (conceptual, logical, and physical) using tools like Erwin.
  • Apply dimensional and relational modelling techniques to support analytics and reporting.
  • Manage data warehouse architecture, ensuring data integrity, security, and accessibility.
  • Develop and optimize stored procedures for efficient data processing and retrieval.
  • Create interactive dashboards and reports using Power BI to deliver actionable insights.

Technical Business Analysis:

  • Gather and document technology requirements from business stakeholders, particularly for Big Data applications.
  • Understand and interpret Big Data application architecture to support solution design.
  • Provide detailed walkthroughs of requirements to development and testing teams.
  • Liaise with business teams for requirement clarifications and changes.
  • Review functional specifications and test strategies from a technical perspective.
  • Ensure alignment of data solutions with industry standards and regulatory requirements.
  • Experience in data modelling and technical business analysis.
  • Strong proficiency in Power BI, SQL, Teradata, and stored procedures.
  • Technical expertise in Spark, Hive, HBase, Apache Phoenix, Pig, Python, Scala, Java, Unix, Shell Scripting, and Oracle.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Experience with maintaining optimizing data models (conceptual, logical, and physical) using tools like Erwin.
  • Familiarity with IICS and Informatica PowerCenter.
  • Strong analytical skills with the ability to handle highly confidential data in multi-cluster environments.
  • Excellent communication and stakeholder management skills.
  • Background in banking or insurance is preferred.

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