Senior Consultant – Data Analytics – Digital Risk Advisory – Perth

Last updated 29 minutes ago
Location:Perth

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all

The opportunity

We are looking for a Senior Consultant within the Enterprise Risk team in our Perth office, who will focus on data analytics. A person who is passionate about delivering insight through data and analytics. A person who thrives on sharing knowledge and actively seeks to train and educate others on improving how data is accessed and presented to decision makers.

You will be part of a specialist risk data and analytics team with links into the broader Consulting community. This is a key role supporting analytics and broader risk management offerings to our clients. We provide data-driven risk intelligence and bespoke solutions to our clients, through the analysis of transactional or operational data. We are experts in harnessing large amounts of data to identify threats to our clients’ businesses, highlight where failures are occurring and quantify the impact of identified issues.

You can expect to work with top tier clients across multiple industries, including Resources, Government, Education, and Utilities

This role is offered on a flexible full-time basis.

Your key responsibilities

  • Spread data literacy and enthusiasm for data, analytics and technology
  • Be the translator between technical and non-technical stakeholders
  • Define the requirements and technical specifications and deliver data and analytic use cases working collaboratively with other team members and our clients
  • Conduct data analytic benchmarking using EY frameworks
  • Peer review data and analytic assets providing recommendations
  • Act as a data / analytics subject matter resource (SMR) on one or more of the following topics: data analysis, data migration, data transformation, data science, data visualisation, data governance, and data privacy
  • Work in high-performing multi-disciplinary teams, build internal networks, and supervise and coach staff
  • Develop client relationships, grow networks, and assist identifying and converting engagement opportunities
  • Building strong relationships both internally and in the market. Become a trusted advisor to your clients
  • Mentoring individuals to help them achieve their best, build their capability and manage their careers

Skills and attributes for success

To qualify for the role you must have

  • 3 years of hands-on data analytics, including:
    • Intermediate SQL / data preparation (essential)
    • Reporting design and development experience using one or more tools such as Power BI, Tableau, Qlik, ThoughtSpot, Spotfire, etc
    • Additional programming in languages such as Python, R, C# etc
  • Experience with large data sets, analysing data, extracting relevant information and producing actionable insights
  • Project management skills and experience managing multiple projects
  • Proven experience in collaborating with data engineers, analytics, reporting professionals and data scientists generating actionable insights
  • Strong analytical and business skills, which you can apply to designing data analytics to measure business performance, identify business risks and support decision making
  • Exceptional communication and presentation skills, which you use to explain your analysis approach and insights to technical and non-technical stakeholders at various levels from junior to C-suite

Ideally, you’ll also have

  • Strong interest for data analysis, mathematics, statistics, modelling, data science or AI
  • Experience with cloud-based data platforms such as AWS and Azure
  • Knowledge in data structures and algorithms for processing large volumes of data
  • Some knowledge of risk management, finance, accounting, and ERP systems, although this is not essential