Consultant or Senior Consultant - Data Analytics - Decision Support

Sydney, NSW, AU, 2000

EY

Mit unseren vier integrierten Geschäftsbereichen — Wirtschaftsprüfung und prüfungsnahe Dienstleistungen, Steuerberatung, Unternehmensberatung und Strategy and Transactions — sowie unserem Branchenwissen unterstützen wir unsere Mandanten dabei,...

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Could the skills you build here unlock doors anywhere?
 
At EY we believe that whoever you are, your uniqueness helps us stand apart. 
 
We bring together extraordinary people, like you, to build a better working world. 
 
What’s in it for you? 

 

Join the Decision Support team and work with innovative professionals who provide data analytics-driven solutions and insights that enhance our clients’ decision making. You will both drive and contribute to an efficient, innovative and team-oriented work environment. In this role you will serve as a member of and manage multiple client engagement teams to innovate and develop new solutions to be delivered to clients, as well as support internal data-focussed initiatives.

 

As a Data Analytics Consultant or a Senior Data Analytics Consultant in the Sydney or Melbourne office, you’ll play a key role with our government and private sector clients, providing high quality analytical and strategic analysis through the development of data analytics models and analytics solutions in relation to our clients' issues, projects and new strategic initiatives. Throughout all projects you will leverage your understanding of quantitative analysis to provide value-adding insights to support decision making and solve a broad range of commercial and financial issues. 

 

Your primary focus will be providing advanced analytical tasks including but not limited to: statistical and machine learning models; geo-spactial models; development of analytical solutions to support our clients with data-driven insights; and  

 

  • Conduct data analysis on large and complex datasets to address client challenges in dynamic markets.
  • Use and develop Generative AI technologies to improve efficentcies. 
  • Use programming languages such as Python, R, and SQL for data analysis, adhering to coding standards.
  • Perform data exploration, cleaning, and manipulation, using statistical models and conducting model parameter tuning and selection.
  • Effectively communicate technical modelling results and insights to both technical and non-technical stakeholders.
  • Apply geospatial analysis techniques, such as catchment area and drive-time analysis, to enhance data insights.
  • Develop financial models to enable analysis for various purposes (eg, to support business case development, strategic options or transactions)
  • Leverage Microsoft Cloud technologies such as Azure, ADF, and Azure Databricks for data analytics solutions.

 

What we’re looking for 
 
Here’s our ‘wish list’ but don’t worry if you don’t tick all the boxes. We’re interested in your strengths, what you want to learn, and how far you want to go. 

 

  • Proven experience in analysing large datasets and building data-driven analyses.
  • Experience with Python, R, or SQL for data analysis.
  • Ability to interpret and communicate the implications of technical results to non-technical business stakeholders.
  • Good understanding of AI and Large Language Models, including their business applications and use cases, with a passion for getting into the details of model tuning and development.
  • Good understanding of financial modelling using MS Excel.
  • Experience with Power BI (or similar), Alteryx and familiarity with Microsoft Cloud technology (Azure, ADF, Databricks) will be a plus.

 
Ideally you will also have 

 

  • Undergraduate or postgraduate degree in Business, Finance, Statistics, Mathematics, Data Science, Economics, or a related discipline.
  • A minimum of 2 years’ relevant experience in analytics, modelling, consulting, accounting or government environments.
  • A Baseline or above level of Security Clearance, or an ability to obtain a security clearance, is preferable but not mandatory
  • Strong business acumen and a desire to thrive in a fast-paced client, strategy and transactions-oriented environment.

 

What we can offer you 

 

 

Acknowledgement of Country 

 

EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Find out more about our vision for reconciliation at www.ey.com/au/reconciliation 

 

Apply now… we’re over 9,000 perspectives in Australia and we’re ready to welcome yours.  

  
Diversity, equity, and inclusiveness (DE&I) are core to who we are, how we work and how we live our values. We hold a collective commitment to continue to drive an environment where all differences are valued, practices are equitable, and everyone experiences a sense of belonging— where people are inspired to team and lead inclusively in their interactions every day. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at contactrecruitment@au.ey.com or +61 3 8650 7788 (option 2). Anything you tell us will be kept completely confidential. 

 

The exceptional EY experience. It’s yours to build. 

#LI-Hybrid 

 

EY | Building a better working world 

 

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Azure Consulting Data analysis Data Analytics Databricks Economics Excel Finance Generative AI LLMs Machine Learning Mathematics ML models Power BI Python R Security SQL Statistics

Perks/benefits: Career development Equity / stock options Parental leave Wellness

Region: Asia/Pacific
Country: Australia

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