Technical Data Analyst - Perm/Contract - Sydney
Technical Data Analyst - Perm/Contract - Sydney
Posted on :
23-05-2025
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1 Vacancy
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Job Description
Urgent requirement of Technical Data Analyst Perm/Contract Sydney
Requirements
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.
- Analyze design and implement data solutions on AWS to support business objectives.
- Work closely with data engineers analysts and business teams to optimize and improve cloudbased 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 onpremise or legacy systems to AWS.
- Develop dashboards reports and analytics using AWSnative tools.
- Collaborate with dev teams to automate processes and enhance data accessibility.
- Be part of a crossfunctional team planning configuring unit testing and documenting new and existing system features in order to deliver working endtoend solutions and thus value to stakeholders.
- Analyze interface requirements and document interface mappings
- Nonfunctional requirements definition
- 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 nontechnical 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.
- Experience working within a lowcode / 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) Amazon S3 (Object storage) AWS Athena (Serverless querying) AWS 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
- Detailoriented 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 selfmotivated
- Continuous improvement mindset
- Able to take ownership and not be afraid to acknowledge failure
- Understand the importance of maintainable code and comprehensive testing.
Duration: Permanent / 06 months and possible extension
Eligibility: Australian/NZ Citizens/PR Holders only
Email:
Employment Type
Full Time
Key Skills
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