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May

Data Analyst

ANZ - Melbourne, VIC

IT
Source: uWorkin

JOB DESCRIPTION

Data Analyst

Role Location: 242 Pitt St, Sydney NSW 2000

Permanent, Full-Time

  • Help deliver client-focused insights in a fast-paced, data rich environment.
  • Use your communication skills, collaborative mindset and passion for data to deliver accurate, timely and useful data pipelines.
This is an exceptional opportunity to work closely within a high energy and fast paced business to advance the use of data driven insights. As a Data Analyst within our Markets Client Insights team, you will be working within the business to make it easier and faster for the team to extract value from data.

The Client Insights team works with Markets Sales on a broad range of data, including high frequency time series client event and market tick data, market asset metadata, and unstructured text and sales deal input information. Data stores range from spreadsheet, through to object-oriented and large relational and SQL based data stores.

The role will require you to work with the Sales, Client Insights, Technology teams and other stakeholders to understand the data, including any existing data integrity and timeliness concerns. It will also involve use of ETL and ELT across disparate datasets in order to efficiently manage and meet both batch processing and streaming data requirements. You will also work across teams to deliver best practice in in establishing data lineage, data integrity and control and governance frameworks.

About You
  • Exceptional communication and collaboration skills.
  • A curious nature.
  • A problem solving mindset
  • A passion for sourcing, collecting, cleaning and transforming data.
  • Willingness to work across the whole data processing spectrum, contributing to improved methods of collection and data quality.
  • Degree in Computer Science, preferably at post graduate level and with a strong emphasis on database management.
  • Previous experience in a data engineering or technology roles focussed on construction and maintenance of data pipelines.
  • Strong awareness of data governance principles and willingness to work closely with our data governance and data management teams to continue to develop a best practice data framework within Markets.
  • A commercial approach, aligning our data efforts to business growth and efficiency.
What will be in your toolkit
  • Strong capability in Python.
  • Working across both relational and object-oriented database environments, such as SQL, NoSQL and S3.
  • Working with data processing and scheduling tools such as Apache Spark, parquet file format and Airflow.
  • Experience in AWS data-oriented services like SageMaker
  • Knowledge and/or experience with KDB/q is an advantage but not essential.
About ANZ

At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We're just as focused on seeing our people thrive as well as our customers. We'll give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.

ANZ recognises the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key inherent needs and requirements of each role, and candidates are selected based on their unique strengths and characteristics.

We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.

To find out more about working at ANZ or to view other opportunities visit You may apply for this role by visiting ANZ Careers and search for reference number AUS130597

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