Technical Data Analyst

Sydney, Australia | Posted on 05/23/2025

Urgentrequirement of Technical Data Analyst - Perm/Contract - Sydney

Your responsibilities

• Having 05+ years of Experience in DATA MODELING, AWS
  
• Document technical specifications and integration patterns required for the Data Platform (AWS Tech Stack) across the downstream and upstream environments.
  
• A nalyze, design, and implement data solutions on AWS to support business objectives.
  
• Work closely with data engineers, analysts, and business teams to optimize and improve cloud-based data pipelines. Build reports and undertake technical data analysis as required via a working knowledge of SQL.
  
• Assess Business Requirements and Technical documents to determine the build work required
  
• Assist with documentation of User Stories.
  
• Implement system configuration, eg, Commercial Off The Shelf (COTS) system changes to achieve Business Requirement and/or Technical outcomes.
  
• Process flow Analysis, Data Models, and configuration documentation.
  
• Conduct deep analysis on structured and unstructured datasets to extract meaningful insights.
  
• Assist in data migration projects from on-premise or legacy systems to AWS.
  
• Develop dashboards, reports, and analytics using AWS-native tools.
  
• Collaborate with dev teams to automate processes and enhance data accessibility.
  
• Be part of a cross-functional team planning, configuring, unit testing and documenting new and existing system features in order to deliver working end-to-end solutions and thus value to stakeholders.
  
• Analyze interface requirements and document interface mappings
  
• Undertake impact analysis on system implementation and design options, making recommendations, assessing and managing associated risks.
  
• Uphold solution integrity by ensuring that work is compatible with agreed system architectures, adheres to corporate standards, upholds quality, and ensures security.
  
• Contributes to the development of organizational policies, standards, and guidelines for test environment management.
  
• Collaborate with non-technical stakeholders to understand whether solutions meet their needs.
  

Your experience and qualifications must have :

• Proven track record of technical business analysis, taking responsibility across all stages and iterations of the lifecycle, including a strong understanding of best practices and design patterns.
  
• E xperience working within a low-code / configuration environment (eg. COTS systems) deploying system changes within a defined software delivery lifecycle (SDLC).
  
• Strong proficiency in AWS data technologies , including:
  
• Amazon Redshift (Data warehousing), AWS Glue (ETL processes), A mazon S3 (Object storage), A WS Athena (Serverless querying), A WS Lake Formation (Data lake management), AWS QuickSight (Business intelligence and visualization)
  
• Experience working with SQL and NoSQL databases .
  
• Understanding of data governance, security, and compliance best practices in cloud environments.
  
• Exposure to machine learning pipelines using AWS SageMaker (preferred but not required).
  
• Strong analytical skills and experience interpreting complex datasets .
  
• Ability to translate business needs into scalable technical solutions .
  
• Familiarity in integration technologies including API and event driven architectures.
  
• Familiarity with Agile software engineering methodologies and software product implementation.
  
• Experience with relational database (SQL Server) and capital markets data products / models.
  
• Experience working with Java applications, micro services, data streaming capabilities
  
• Detail-oriented individual with the ability to quickly assimilate and apply new concepts, business models and technologies
  
• Experience in unit/integration and Non Functional testing
  

Nice to have

• Experience working in the Capital Markets Industry with a solid understanding of product and transaction life cycles.
  
• Passionate about solving problems, troubleshooting software issues, and triaging environment issues.
  
• Excellent verbal and written communication skills with the ability to work with internal and external stakeholders.
  
• AWS Certified Data Analytics – Specialty or Solutions Architect certification.
  
• Knowledge of big data frameworks (e.g., Apache Spark, Hadoop) on AWS.
  
• Prior experience with streaming data solutions like AWS Kinesis or Kafka on AWS .
  
• Lateral thinker – bring forward ideas that will automate repeatable tasks to reduce work effort and ensure quality deliverables
  
• Learn quickly, enjoy the challenge of learning new systems
  
• Compassionate, empathetic, and self-motivated
  
• Able to take ownership and not be afraid to acknowledge failure
  
• Understand the importance of maintainable code and comprehensive testing.
  

Eligibility:Australian/NZCitizens/PR Holdersonly