Senior Data Analyst

EY; Canberra; Hybrid; AUD 110,000 - 150,000; Full time

Benefits offered by this job

Career development

Flexible work arrangements

Flexible leave & parental leave

Job summary

EY is seeking a Senior Data Analyst to join our Australia-wide team, delivering analytics insights and data-driven solutions for clients across finance, governance and regulatory spaces. The role supports automation and efficiency improvements while collaborating with diverse, multidisciplinary teams.

You will collect, merge and explore data to create actionable insights, build dashboards, and translate stakeholder needs into scalable analytics.

Qualifications

• Experience in data analytics, BI, data transformation or related analytics role.
• Ability to handle large, diverse data sources and identify quality issues and trends.
• Proficiency with SQL, Python, Alteryx and Power BI.
• Experience with cloud analytics platforms like Databricks and Azure data services.
• Strong communication with technical and non-technical stakeholders, including senior clients.

Responsibilities

• Deliver exceptional client analytics and insights from data.
• Design, build and interpret complex data analytics for clients.
• Drive automation and efficiency in analytics delivery.
• Advise clients and engagement teams on analytics solutions.
• Develop business acumen and translate requirements into analytics.

Skills

Data analytics

Data transformation

Data visualization

SQL

Python

Power BI

Stakeholder management

Communication

Problem solving

Project management

Education

Tertiary education in Business/IT/STEM

Tools

SQL

Microsoft Fabric

Databricks

Azure data services

Tableau

Looker

AI/automation tools

Job description

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Senior Data Analyst

The opportunity

As our Data Analyst, you will join a team of multidisciplinary professionals in a role that focuses on collecting, combining, and exploring data to create insights that support our clients with their decision‑making processes. As part of our team, you will build solutions that utilise our clients’ data to enable insights within the accounting, finance, governance, and regulatory space and pursue automation in the process to create efficiencies.

This role can be performed from any of our EY offices across Australia. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.

Your Key Responsibilities

Everything you’ll do will come back to providing exceptional analytics for our clients. Colleagues and clients from diverse backgrounds will look to you for answers, so you will be a key contact when it comes to designing, building, and understanding complex data analytics.

As you build your knowledge and experience, you’ll become a credible advisor, influencing clients and engagement teams on resolutions that will impact future analytics solutions, delivery, and processes.

You will:

• Consistently deliver exceptional client service solutions to allow our clients to gain greater insight into their data and the value that data analytics can bring to an organisation.
• Transform how we deliver our services to the client; exploring new ways of doing business and using technology to improve effectiveness and efficiency.
• Be an active problem solver performing advanced financial analysis and reporting in complex business areas, while building technical competence.
• Develop business acumen and a comfort level in designing solutions that address client inquiries and emerging issues, including industry practices, and new technologies.

Skills And Attributes For Success

• Demonstrated experience in data analytics, business intelligence, data transformation, data visualisation, or a related analytics‑focused role.
• Experience working with large, complex and diverse data sources, including the ability to identify data quality issues, anomalies and trends, and transform data into meaningful business insights.
• Experience developing analytics and data transformation solutions using technologies such as SQL, Python, Alteryx and Power BI (including DAX), and related analytics and data technologies.
• Experience working within modern data and analytics platforms, including technologies such as Microsoft Fabric, Databricks, Azure data services, or equivalent cloud‑based analytics environments.
• Experience designing and delivering dashboards, reports and visualisations using leading data visualisation platforms such as Power BI, Tableau or Looker.
• Strong analytical, critical thinking and problem‑solving skills, with the ability to challenge existing approaches and develop practical, value‑driven solutions.
• Ability to understand business objectives and translate stakeholder requirements into scalable analytics and reporting solutions.
• Experience working within professional services, financial services, banking, retail, government, or other data‑intensive industries, with exposure to solution development and analytics delivery.
• Strong communication and stakeholder management skills, including the ability to present findings, recommendations and insights to both technical and non‑technical audiences, including senior client stakeholders.
• Demonstrated ability to manage multiple workstreams, prioritise competing demands and communicate project status, risks and capacity effectively.

Ideally, you’ll also have the skills and attributes below but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

• Tertiary education qualification(s) in Business, IT or STEM related disciplines.
• Developing data pipelines, ETL/ELT processes and analytical solutions using modern data platforms such as Databricks, Microsoft Fabric, Azure Data Factory, or similar technologies.
• Building intelligent automation, AI‑enabled solutions, machine learning models, AI agents or robotic process automation (RPA) solutions.
• Applying programming and scripting languages to automate data preparation, transformation, analysis and reporting activities.

  What We Offer You

  At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We’re proud to be recognised as the #1 WORK180 Endorsed Employer in the Top 101 Employers for Women 2026.

  • Career development: At EY, your career is yours to shape!We’ll develop you with future‑focused skills and equip you with world‑class experiences ey.com/au/careerdevelopment
  • Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
  • A comprehensive benefits package: From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family‑friendly policies, including up to 26 weeks of gender‑neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally www.ey.com/au/benefits
  • Salary: We offer a competitive salary which is open to negotiation pending on skills and experience.

  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.

  Inclusiveness is core to who we are and how we work together, driving value for our people and for our business. 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.

  EY | Building a better working world

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

  © 2026 Ernst & Young Australia. A member firm of Ernst & Young Global Limited. All Rights Reserved.