Senior Data Analyst

Join our growing Australia Data Office, a prominent team at the forefront of Equifax’s business technology transformation. You will work within a flexible, agile environment that prioritizes technical excellence and close collaboration with our wider data community.

What you will do

As a Senior Data Analyst, you will play a critical role in supporting major transformation activities and maintaining the integrity of our core data assets.

• Conduct analysis of complex data problems to drive actionable insights.

• Assist with the implementation of high-impact Transformation activities.

• Support the implementation of next-generation matching algorithms.

• Accountable for improving the quality of data assets through detailed analysis and investigations.

• Lead and participate in Data Quality (DQ) meetings to drive continuous improvement.

• Utilize newest technologies and Cloud Computing to perform Big Data analytics.

• Engage with global resources and participate in relevant training and development courses.

• Operate within an agile framework, maintaining discretion and flexibility in your work.

• Lead and mentor other junior analysts, fostering a culture of excellence and growth.

What experience do you need

• 5+ years of professional experience working as a Data Analyst.

• A degree in a relevant field, preferably Science, Technology, Engineering, Mathematics, or Statistics.

• Excellent Presentation skills for communicating findings to all levels of the business.

• Strong Stakeholder management abilities.

• Strong business analysis skills, including expertise in requirements gathering.

• Demonstrated proficiency in data visualization, utilizing BI tools such as Tableau or Power BI.

• Strong coding skills in Python and SQL

• Strong written communication skills for technical and commercial reporting.

• Demonstrated commercial acumen and the ability to connect data to business outcomes.

• Proven ability to multitask and manage competing priorities effectively. 

What could set you apart

• Proficiency in programming languages such as Python or R.

• Hands-on experience with Google Cloud Platform (GCP) or other major cloud environments.

• Relevant Cloud certifications.

• Prior experience working within the credit industry

• A willingness to drive AI usage, not just for personal productivity, but to transform how we work.