Senior Technical Data Analyst, Commonwealth Bank of Australia, AU

Job Description

Senior Technical Data Analyst

  • You are passionate to stay ahead of the latest AWS Cloud, and Data Lake technologies with a functional touch to usage of the data.

  • We're one of the largest and most advanced Data Stream teams in the country.

  • Together we can build state-of-the-art data solutions that power seamless experiences for millions of customers.

Do work that matters:


As a Senior Tech Data Analyst, you’ll be part of the Business Analysis Chapter building Data Assets for the Financial Crime domain.   We work across the AWS Cloud, Teradata Group Data Warehouse, Hadoop Big Data Platform, Ab Initio technologies, which is why we’re the perfect fit for you. Here, you’ll be part of a team of data engineers and data analysts going above and beyond to improve the standard of digital banking, using the latest tech to solve our customers’ most complex data-centric problems.

See yourself in our team:


The Financial Crime Domain within CBA focuses on compliance and measures to prevent financial crimes. This domain is crucial for ensuring that the bank adheres to regulatory requirements and maintains the integrity of its operations. Building Data Products and Data Asset in the Financial Crime Domain focuses on Data Collection and Integration, Data Analysis and Modelling, Compliance and Reporting and Data Controls.

We are interested in hearing from people who have:

  • Worked in an Agile environment to solve problems and achieve common objectives in the broader data space.

  • Proven experience in understanding and supporting Big Data pipelines.

  • Experience in collaborating with business stakeholders to understand their processes, goals and pain points

  • Ability to gather, analyse and document business and technical requirements

  • Ability to translate business needs into detailed use cases and functional specifications

  • Knowledge in defining and implementing test cases, test strategy, test plans for bigdata/ cloud applications and pipelines

  • Hands-on experience in end-to-end testing of ETL process, data lakes and test data preparation/ creation, validating data accuracy, completeness, transformation logic, data quality and perform root cause analysis for data mismatches.

  • Ability to run projects independently end to end - from Data Analysis to deployment, utilising the DevSecOps model.

  • Experience with data governance controls, data security and data management.
     

We are seeking people who are:

  • Passionate about building next generation data platforms and data solution across the bank.

  • Highly motivated in bridging the gap between business needs and technical solutions who will work closely with business stakeholders, product owners to gather and translate requirements into functional specifications that deliver business value.

  • Are data enthusiastic in providing solutions that source data from various enterprise data platform into data lake, transform and process the source data to produce data products, transform and egression to other data platforms like SQL Server, Oracle, Teradata and other cloud platforms. 

  • Can collaborate, co-create and contribute to existing Data Analysis and testing practices in the team.

  • Ready to execute state-of-the-art coding and testing practices, driving high quality outcomes to solve core business objectives and minimise risks.

  • Have experience and responsible for data security and data management.

  • Can take the lead and drive a culture where quality, excellence and openness are championed.

  • Constantly thinking creatively and breaking boundaries to solve complex data problems.

  • Have a natural drive to educate, communicate and coordinate with different internal stakeholders.

Key Skills & Experience:

  • Data Analysis: Expertise in using tools like Zepplin, Alation, JupyterHub

  • Data Processing: Understanding of Python, Spark

  • Marketplace & APIs: Exposure to AWS Marketplace, API Gateway, and data monetization strategies.

  • Experience is using test management tools like JIRA, version control Git

  • Experience in analysing data products, transformation rules, solution in any Data platforms

Nice to Have:

  • Experience with Snowflake, or Apache Iceberg.

  • Knowledge of data product thinking and data mesh principles.

  • Understanding of AWS Technologies including Redshift, Iceberg tables, EMR, Glue, Athena, S3 etc.


Working with us:

Whether you’re passionate about customer service, driven by data, or called by creativity, a career with CommBank is for you.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with a flexibility to work from any of our engineering hubs in Sydney. One where we’re driven by our values, and supported to share ideas, initiatives, and energy. One where making a positive impact for customers, communities and each other is part of our every day.

Here, you’ll thrive. You’ll be supported when faced with challenges and empowered to tackle new opportunities. You’ll be empowered to do your best work and be given the choice on when and where that work happens. We really love working here, and we think you will too.

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

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Advertising End Date: 03/10/2025
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