Data Modeler
22 hours ago
Job Title:
Data Modeller / Analyst
Location:
Sydney
Employment Type:
Contract
Role Overview:
We are seeking a skilled
Data Modeller / Analyst
to design, develop, and maintain conceptual, logical, and physical data models for
SVoC data domains
. The ideal candidate will possess strong expertise in data modelling, data profiling, and lineage analysis, ensuring the data architecture aligns with enterprise standards and supports analytics, migration, and regulatory reporting initiatives.
Key Responsibilities:
- Design and maintain
conceptual, logical, and physical data models
for SVoC data domains in alignment with enterprise data architecture principles. - Perform
data profiling and data lineage analysis
to ensure data integrity, consistency, and accuracy across systems. - Collaborate with business analysts, data architects, and engineering teams to translate business requirements into scalable data models.
- Support
data migration
initiatives and ensure model compatibility across platforms and environments. - Document and maintain data definitions, relationships, and metadata for enterprise data assets.
- Use industry-standard modelling tools such as
ERwin
,
Sparx Enterprise Architect
, or equivalent to develop and maintain data models. - Ensure compliance with
governance, security, and regulatory
data management requirements. - Support
analytics and reporting
teams with optimised data structures to improve data accessibility and performance.
Required Skills & Experience:
- 5–8 years of experience in
data modelling
and
data analysis
. - Strong knowledge of
data architecture principles
,
data warehousing
, and
relational database design
. - Proficiency in
data modelling tools
(e.g., ERwin, Sparx EA, PowerDesigner). - Hands-on experience in
data profiling, data lineage, and metadata management
. - Familiarity with
SQL
,
ETL concepts
, and
data integration frameworks
. - Understanding of
enterprise data governance
and
regulatory reporting frameworks
. - Strong analytical and problem-solving skills with excellent attention to detail.
Preferred Qualifications:
- Experience working in
financial services
,
regulatory
, or
data migration
programs. - Exposure to
cloud-based data platforms
(Azure, AWS, or GCP). - Bachelor's degree in Computer Science, Information Systems, or related field.
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