EY Data Analyst / Data Scientist - Melbourne in VI, Australia

Title: Data Analyst / Data Scientist - Melbourne

Location: AU-VI-Melbourne

Job Number: MEL001RS

About us:

EYC3 is the data and advanced analytics capability within EY Asia-Pacific working in multiple sectors including financial services, government & public sector, energy, mining & metals, and consumer products. We have more than 300 specialist staff in Australia, New Zealand, Singapore, Hong Kong, Korea, The Philippines and Malaysia. EYC3 creates intelligent client organizations using data & advanced analytics. We implement information-driven strategies and systems that help grow, optimize and protect client organizations, and create a lasting culture that encourages people to use information creatively and intelligently to improve business outcomes. We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientist, big data engineers, developers and consultants in the region.

Due to our continued growth we are looking for a Data Analyst / Data Scientist with hands on experience on BI & Analytics projects to join our Melbourne team.


About the role:

You won’t find yourself sitting in a corner coding all day long in this role. A typical week might include:

  • Meeting with a prospective client to learn about their business problems

  • Helping build a prototype for a client project

  • Analysing a massive data set

  • Running a workshop to gather information for a project

  • Extracting data from various systems for project

  • Preparing a dashboard or data visualisation for a clients

About you:

You will demonstrate previous experience in:

  • 3 - 5 years experience in data analysis skills with strengths in drilling into underlying databases for discovery and identifying opportunities

  • Applying computer-aided statistical modelling to solve business problems

  • Machine learning, data mining and information retrieval.

  • Extracting information from a wide variety of sources including quantitative, qualitative and big data sources

  • At least one of the following modelling software packages: MATLAB, R, SAS, SPSS.

  • At least one of the following scripting languages: C , Java, Python.

  • Data visualisation using Tableau / Qlikview / D3.js

  • Demonstrating your ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process

  • Tertiary qualifications (a Masters or PhD degree) in a quantitative discipline, such as Statistics, Econometrics, Applied Mathematics, Engineering, Applied Science., or equivalent highly desired.

Why us:

  • We work with some of the world’s most influential businesses on many of their most exciting Bigdata and IoT projects.

  • Our sheer scale, scope and reach will provide you with the experiences, challenges and contacts that can inspire you for life

  • Ranked third in a Top 10 Employer in the Australian Workplace Equality Index (AWEI), we offer the agility and responsiveness of a small business backed by the resources and reach of a Big Four firm.

  • Our culture means you can succeed whatever your background, work to your natural strengths, and learn from a remarkably diverse and talented group of people in a dynamic and collaborative global business environment.

Apply now:

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The preferred applicant will be subject to employment screening by Ernst & Young or by their external third party provider.

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