Arbetsbeskrivning

Would you like to combine advanced data analytics and automation with audit judgement and help improve risk identification and decision-making?

The opportunity

As a Manager in Audit Analytics & Data Insights, you will lead analytics delivery across audit and assurance engagements. You will combine technical capability with knowledge of business processes, internal controls and audit evidence to identify risks, exceptions and actionable insights in complex datasets.

Your key responsibilities

• Lead the design and delivery of analytics across financial, operational and compliance engagements.
• Oversee the extraction, transformation and analysis of large datasets using SQL, Databricks and Alteryx.
• Develop and automate scalable, reusable workflows that improve audit efficiency, consistency and coverage.
• Lead the development of dashboards and visualizations in Power BI or comparable tools.
• Review data quality, reconciliations, trend analysis, exception reporting, testing and documentation.
• Manage analytics workstreams, timelines and resources, and coach Senior Associates and junior colleagues.

Skills and attributes for success

Qualifications

• Approximately 4-8 years of relevant experience in audit analytics, data analytics, business intelligence or a related field, including experience coordinating teams or workstreams.
• Strong hands-on SQL skills, including complex queries, joins, data transformation and validation of large datasets.
• Experience designing, delivering and reviewing analytics for audit or assurance, with knowledge of risks, controls and audit evidence.
• Experience with data visualization, preferably Power BI, and the ability to explain technical findings to different stakeholders.
• Experience with audit automation, AI, and data-driven audit methodologies, including the application of analytics, process mining, workflow automation, and AI-enabled tools to enhance audit quality, efficiency, and risk identification.
• Strong project management, quality review and documentation skills.

Meritorious

• Experience with Alteryx, Databricks, SAP or Oracle.
• Knowledge of Purchase-to-Pay, Order-to-Cash, process mining, continuous monitoring or Python.
• A relevant qualification or certification in audit, accounting, information systems or analytics.

As a person you are

• Clear and structured, with a strong focus on quality.
• Comfortable working with both technical and non-technical stakeholders.
• Interested in developing others through feedback and knowledge sharing.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more at ey.com/careers.

Are you ready to shape your future with confidence? Apply today.

Please submit your application no later than 8th of November 2026. For questions regarding the recruitment process, please contact Adrian Lyng at [email protected].

Please note that a background check will be conducted as part of the recruitment process.

At EY, we celebrate diversity and encourage applications from individuals of all backgrounds. If you have any questions, require assistance, or need adjustments to the recruitment process due to a disability, please contact [email protected]. We are here to support you.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.