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

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We are looking for Technical Lead – Data & Analytics, ideally with proven experience in large/complex client environments to join our Perth team at Manager or Senior Manager level

As a Technical Lead, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include:

• Leading and delivering strategy, implementation, and managed service engagements in business intelligence, predictive and prescriptive analytics, data science, data management, and information management, utilising Agile and waterfall frameworks
• Collaboratively designing data related solutions and ensuring they meet end users’ needs. 
• Defining and documenting project scope and resource requirements.
• Facilitating and leading daily ‘stand up’ meetings.
• Ensuring the regular delivery of projects and products in accordance with Agile methodologies. 
• Performing review of client landscapes and developing recommendations for change.
   

To qualify for the role you must have

• Comfortable to engage with client to gather business requirements

• SQL and Excel solution development

• Strong cloud architecture expertise (Azure, AWS)

• Strong Python and data engineering skills

• Experience with leading others

• Someone who can lead others – i.e. junior resources + offshore developers;

 

Ideally, you’ll also have 

• Solution architect experience is a nice to have
• Proven experience dealing with complex data sets, data platform/techniques and analytics solutions in a client service context for at least 8-10 years
• Experience working across multiple BI & A technologies (MS Azure, IBM Watson, Hadoop ecosystem, PowerBI, Qlik, Tableau, etc). 
• Previous Big 4 consulting experience is beneficial