Data Analyst

At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. 

Join EY and help to build a better working world.

Senior Data Analyst

The opportunity

As our Data Analyst, you will join a team of multidisciplinary professionals in a role that focuses on collecting, combining, and exploring data to create insights that support our clients with their decision-making processes. As part of our team, you will build solutions that utilise our clients’ data to enable insights within the accounting, finance, governance, and regulatory space and pursue automation in the process to create efficiencies.

This role can be performed from any of our EY offices across Australia. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.

Your key responsibilities

Everything you’ll do will come back to providing exceptional analytics for our clients. Colleagues and clients from diverse backgrounds will look to you for answers, so you will be a key contact when it comes to designing, building, and understanding complex data analytics. 

As you build your knowledge and experience, you’ll become a credible advisor, influencing clients and engagement teams on resolutions that will impact future analytics solutions, delivery, and processes.

You will:

• Consistently deliver exceptional client service solutions to allow our clients to gain greater insight into their data and the value that data analytics can bring to an organisation.
• Transform how we deliver our services to the client; exploring new ways of doing business and using technology to improve effectiveness and efficiency.
• Be an active problem solver performing advanced financial analysis and reporting in complex business areas, while building technical competence.
• Develop business acumen and a comfort level in designing solutions that address client inquiries and emerging issues, including industry practices, and new technologies.

Skills and attributes for success

• Demonstrated experience in data analytics, business intelligence, data transformation, data visualisation, or a related analytics-focused role.
• Experience working with large, complex and diverse data sources, including the ability to identify data quality issues, anomalies and trends, and transform data into meaningful business insights.
• Experience developing analytics and data transformation solutions using technologies such as SQL, Python, Alteryx and Power BI (including DAX), and related analytics and data technologies.