EOI - Senior Business/Data Analyst - Decision Science & Analytics (Sydney)

Key Skills

Analytical and Problem solving, CSS, Data Engineering, Data science techniques, Data Visualization, Database testing, HTML, Java Programming, JavaScript, Large scale data processing, Management, Mathematics, PowerBI, Powerpoint, Python Programming, R Programming, SAS, SPSS Statistics, SQL, Statistics, Tableau, Teamwork, VBA

Job Description

We are seeking expression of interest for Senior Business Analyst or Data Analyst roles within EY’s Decision Science & Analytics team as part of the broader Strategy and Transaction Service line. We work across all industries and operate in a broad range of disciplines including data analytics and visualisation, operational research, simulation and optimisation, transaction and decision support modelling, advanced economic modelling and bespoke model development.

Your key responsibilities

In your role, you will have a primary focus on decision science and decision modelling. Your focus will be on the application of analytics, operational research and modelling techniques across a range of industries and problem types. You will use advanced simulation modelling and experimentation techniques and have a strong grasp of the use of statistics. You are resourceful, know how to solve problems and have a good understanding of mathematical optimization. Your work will provide in-depth insights and inform the strategic decision-making of our clients on their key capital investment and operational issues. This will allow you to develop and maintain positive, productive and professional advisory relationships with clients and stakeholders.

Skills and attributes for success

• Good commercial acumen with excellent interpersonal, project management as well as client management skills
• Experience and understanding of the operational aspects across a range of industries
• Strong data analysis and presentation / visualisation skills including the ability to identify, extract, manipulate and use statistical methods to analyse large data sets, identify trends and patterns and the ability to uncover stories and in-depth insights
• Good model building skills combined with an ability to connect these with real world strategic alternatives, decisions and applications
• Intellectual curiosity, strong problem-solving abilities and a commercial mindset
• Excellent analytical, communication and teamwork skills

Ideally, you’ll also have

• Management Consulting or Professional Services experience

• A bachelor's degree (or higher) in statistics, applied mathematics, data science, engineering, operational research, computer science / software engineering or similar
• Experience in the use of programming packages for data science (e.g. Python, R, SAS, SPSS) and making this accessible to others (e.g. through related software)
• Experience with data visualization (e.g. Power BI, Tableau)
• Proficiency in Microsoft Excel, VBA and database / data handling environments
• Familiarity with web technologies (HTML, CSS, JavaScript etc.)
• Capabilities in Microsoft PowerPoint and Word are required