Technical Business Analyst (Data)
TypeContract
LocationAustralia
Posted2 hours ago
Technical Business Analyst (Data)
Location: Sydney, NSW (Remote)
Job Type: Contract Experience: 7+ years
Eligibility: Australian Citizens / PR holders only
About the Role
Our client is looking for an experienced Technical Business Analyst (Data) to join a high-performing data and analytics team on a contract basis. You will act as the bridge between business stakeholders and technical data teams, translating business needs into clear, well-defined data requirements, mappings and specifications that engineers, architects and analysts can build against.
This is a hands-on role for someone who is equally comfortable in a workshop with senior stakeholders and in a SQL editor profiling source data. You will shape data solutions end to end, from discovery and requirements through to testing and delivery.
Key Responsibilities
Engage with business and technical stakeholders to elicit, analyze and document data and reporting requirements
Translate business needs into functional and technical specifications, user stories and acceptance criteria
Perform source system analysis and data profiling using SQL to assess data quality, structure and completeness
Produce source-to-target mappings, data dictionaries, business glossaries and data lineage documentation
Work closely with data engineers, data architects and BI developers to design and deliver data pipelines, data models and reports
Define and validate business rules, transformation logic and data quality checks
Support data migration, integration and data warehouse / Lakehouse initiatives
Plan and support User Acceptance Testing (UAT), including preparing test cases and validating outputs against requirements
Identify data gaps, risks and dependencies, and recommend practical solutions
Support data governance, metadata management and data privacy practices
Contribute to Agile ceremonies, including backlog refinement, sprint planning and show-and-tells
Provide clear status updates and manage stakeholder expectations throughout delivery
Essential Skills and Experience
7+ years of experience as a Business Analyst, with a strong focus on data, analytics or data platform projects
Strong SQL skills for querying, profiling, validating and reconciling data
Proven experience writing source-to-target mappings and data transformation specifications
Solid understanding of data warehousing, data modelling (dimensional, relational) and ETL / ELT concepts
Experience working with modern cloud data platforms (for example Azure, AWS, Snowflake, Databricks or Microsoft Fabric)
Experience gathering requirements for BI and reporting solutions (for example Power BI, Tableau or similar)
Strong knowledge of data quality, data governance and metadata management principles
Experience working in Agile / Scrum delivery environments
Excellent documentation skills, including BRDs, FRDs, user stories, process flows and data models
Strong stakeholder management and communication skills, with the ability to explain technical concepts to non-technical audiences
Strong analytical and problem-solving skills with attention to detail
Desirable Skills
Experience with data catalogue or governance tools (for example Microsoft Purview, Collibra or Alation)
Familiarity with transformation tools such as dbt, Azure Data Factory or similar orchestration tooling
Working knowledge of Python for data analysis
Experience with Jira and Confluence
Exposure to data migration programs or large-scale data platform modernisation
Industry experience in financial services, government, utilities, retail or similar data-rich sectors
Relevant certifications (for example CBAP, IIBA-CBDA, Azure Data Fundamentals or similar)
Originally posted on Himalayas
Location: Sydney, NSW (Remote)
Job Type: Contract Experience: 7+ years
Eligibility: Australian Citizens / PR holders only
About the Role
Our client is looking for an experienced Technical Business Analyst (Data) to join a high-performing data and analytics team on a contract basis. You will act as the bridge between business stakeholders and technical data teams, translating business needs into clear, well-defined data requirements, mappings and specifications that engineers, architects and analysts can build against.
This is a hands-on role for someone who is equally comfortable in a workshop with senior stakeholders and in a SQL editor profiling source data. You will shape data solutions end to end, from discovery and requirements through to testing and delivery.
Key Responsibilities
Engage with business and technical stakeholders to elicit, analyze and document data and reporting requirements
Translate business needs into functional and technical specifications, user stories and acceptance criteria
Perform source system analysis and data profiling using SQL to assess data quality, structure and completeness
Produce source-to-target mappings, data dictionaries, business glossaries and data lineage documentation
Work closely with data engineers, data architects and BI developers to design and deliver data pipelines, data models and reports
Define and validate business rules, transformation logic and data quality checks
Support data migration, integration and data warehouse / Lakehouse initiatives
Plan and support User Acceptance Testing (UAT), including preparing test cases and validating outputs against requirements
Identify data gaps, risks and dependencies, and recommend practical solutions
Support data governance, metadata management and data privacy practices
Contribute to Agile ceremonies, including backlog refinement, sprint planning and show-and-tells
Provide clear status updates and manage stakeholder expectations throughout delivery
Essential Skills and Experience
7+ years of experience as a Business Analyst, with a strong focus on data, analytics or data platform projects
Strong SQL skills for querying, profiling, validating and reconciling data
Proven experience writing source-to-target mappings and data transformation specifications
Solid understanding of data warehousing, data modelling (dimensional, relational) and ETL / ELT concepts
Experience working with modern cloud data platforms (for example Azure, AWS, Snowflake, Databricks or Microsoft Fabric)
Experience gathering requirements for BI and reporting solutions (for example Power BI, Tableau or similar)
Strong knowledge of data quality, data governance and metadata management principles
Experience working in Agile / Scrum delivery environments
Excellent documentation skills, including BRDs, FRDs, user stories, process flows and data models
Strong stakeholder management and communication skills, with the ability to explain technical concepts to non-technical audiences
Strong analytical and problem-solving skills with attention to detail
Desirable Skills
Experience with data catalogue or governance tools (for example Microsoft Purview, Collibra or Alation)
Familiarity with transformation tools such as dbt, Azure Data Factory or similar orchestration tooling
Working knowledge of Python for data analysis
Experience with Jira and Confluence
Exposure to data migration programs or large-scale data platform modernisation
Industry experience in financial services, government, utilities, retail or similar data-rich sectors
Relevant certifications (for example CBAP, IIBA-CBDA, Azure Data Fundamentals or similar)
Originally posted on Himalayas
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