Consultant or Senior Consultant - Data Analytics - Decision Support Location: Sydney
Other locations: Primary Location Only
Date: 8 Jan 2025
Requisition ID: 1543099
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-spatial 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 efficiencies.
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 (e.g., 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.
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.
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