Senior Technical Data Analyst

3 weeks ago

Sydney, New South Wales, Australia Commonwealth Bank of Australia Full time

Data Analysis Role

We're a global data and analytics team at the Commonwealth Bank of Australia, committed to building a brighter future for our customers. Our vision is to deliver world-class experiences using the power of data, analytics, and artificial intelligence (AI).

As a Senior Technical Data Analyst, you'll be performing data analysis, data profiling, and identifying data patterns. You'll decode SQL and create rules in the cloud platform for risk profile. You'll also elicit requirements from key stakeholders, including senior management, using various methods to capture business requirements.

Key Responsibilities

  • Elicit requirements from key stakeholders, including senior management, using various methods to capture business requirements.
  • Partner with senior business stakeholders to identify impacts to business processes and make informed recommendations.
  • Understand overall business requirements and raise issues or concerns that would impact business objectives and recommend actions.
  • Ensure attributes of data, relationships between data elements, and sources of data are defined and mapped.
  • Provide SQL logic to the team for development.
  • Utilize technical, subject matter, and domain expertise to ensure solution recommendations are aligned with overall Group enterprise architecture.
  • Contribute towards high-quality metadata using Data Catalog tools.
  • Recommend opportunities for continuous improvement of tools, processes, and methodologies.

Requirements

  • Advanced SQL and Excel skills.
  • Adept in Teradata Group Data Warehouse, Cloudera Hadoop Big Data (Omnia) platforms, Datastage, and various ETL frameworks.
  • Knowledge of messaging platforms like Kafka.
  • Knowledge of Ab Initio framework.
  • Exposure to cloud-based data warehousing.
  • Experience with data sources, data extraction, data cleansing, and ingestion within a large complex organization.
  • A passion to ensure attributes of data, relationships between data elements, and sources of data are defined and mapped.
  • A deep understanding of variations in data flows for financial transactions.
  • Experience working within finance and risk would be an advantage.
  • Experience and adaptability in Engineering, Data Design, and/or Quality assurance space would be highly desirable.

We support our people with flexibility to balance work and personal life. We offer various flexible working options, including changing start and finish times, part-time arrangements, and job share.

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