Data Analyst
@ EY

Sydney, New South Wales, Australia
A$90,000
On Site
Full Time
Posted 5 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX****** @ey.com
Recommended after applying

Job Details

About EY

At EY, we’re all in to shape your future with confidence. Join a globally connected powerhouse of diverse teams and help build a better working world.

Data Analyst Opportunity

As a Data Analyst at EY, you will join a multidisciplinary team to collect, combine, and explore data. Your role is focused on creating insights to support client decision-making in accounting, finance, governance, and regulatory spaces. You will build solutions that leverage client data and pursue automation to improve efficiency.

Key Responsibilities

  • Deliver exceptional analytics to provide clients with data insights.
  • Transform service delivery using technology and innovative approaches.
  • Perform advanced financial analysis and build technical competence.
  • Develop business acumen and design solutions for emerging issues.

Skills And Attributes For Success

Tertiary education in Business, IT or STEM. One to two years experience in data analytics. Advanced proficiency in programming, analytics, and data visualisation. Experience with SQL, Python, JavaScript, Power BI/DAX, and Tabular Editor is desired. Familiarity with Microsoft Azure and developing data dashboards is a plus.

What We Offer

EY offers career development, flexible work arrangements, and a comprehensive benefits package including wellness incentives, flex leave, and family-friendly policies.

Key skills/competency

  • Data Analytics
  • SQL
  • Python
  • Power BI
  • Automation
  • Financial Analysis
  • Data Visualisation
  • Azure
  • Problem-solving
  • Communication

How to Get Hired at EY

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills and experience to align with EY requirements.
  • Research EY culture: Understand their mission, values and work environment.
  • Highlight analytics expertise: Emphasize your success with SQL, Python, and Power BI.
  • Prepare for interviews: Practice technical and behavioral questions related to data analysis.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and database design.
Practice Python data manipulation scripts.
Develop sample dashboards in Power BI.
Study Azure cloud data tools basics.

Behavioral Questions

Describe a challenging data problem solved.
Explain a time you automated a process.
Discuss teamwork in diverse projects.
Detail handling tight project deadlines.

Frequently Asked Questions