ETL Technical Business Analyst
XPT Software Australia Pty Ltd Sydney, New South Wales, Australia
IT Services and IT Consulting · 51-200 employees
About the role
The role involves gathering and analyzing business data requirements to define transformation logic and ensure high-quality integration. You will act as a liaison between stakeholders and engineering teams while maintaining documentation like data dictionaries and mapping specifications.
What they look for
Requirements
The ideal candidate must have at least 8 years of experience in data analysis and ETL processes. Strong expertise in data warehousing concepts and proficiency with ETL tools such as Informatica, Talend, or SSIS is required.
Full description
Must Have Skills:
The role involves analysing data requirements, defining transformation logic, and ensuring high-quality data integration across systems. The ideal candidate must have strong expertise in data analysis, ETL processes, and stakeholder engagement
Nice to Have Skills: Understanding of ETL concepts (Extract, Transform, Load)
Experience with ETL tools such as Informatica MDM, PowerCenter, Talend, DataStage, SSIS, or equivalent
Data Warehousing concepts (EDW, Data Marts, Star/Snowflake Schema)
Data Mapping and Source-to-Target Mapping (STM) documentation
Detailed Job Description We are seeking a skilled Onshore ETL Technical Business Analyst to bridge the gap between business stakeholders and data engineering teams. The role involves analysing data requirements, defining transformation logic, and ensuring high-quality data integration across systems. The ideal candidate will have strong expertise in data analysis, ETL processes, and stakeholder engagement.
Key Responsibilities
Requirements & Analysis
- Gather and analyze business and data
requirements from stakeholders
- Translate business needs into
functional and technical specifications
- Define and document Source-to-Target
Mapping (STTM)
Data Analysis & Profiling
- Analyze source systems, schemas, and
data flows
- Perform data profiling, validation,
and quality assessment
- Identify data issues, gaps, and
inconsistencies
ETL & Data Integration Support
- Collaborate with ETL developers to:
- Define data transformation rules
- Support data cleansing and
enrichment requirements
- Ensure data lineage and
traceability
- Support integration across multiple
systems
Documentation
- Create and maintain:
- Source-to-Target Mapping documents
- Data dictionaries and metadata
- Process and data flow diagrams
- Document business rules and
transformation logic
Testing & Validation
- Develop test scenarios, test cases,
and expected results
- Support SIT and UAT cycles
- Validate ETL outputs against
business requirements and data rules
Stakeholder Management
- Act as a liaison between business,
data engineers, and QA teams
- Facilitate discussions, clarify
requirements, and resolve issues
- Provide regular status updates and
documentation
Minimum Years of Experience : 8 Years
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