Data Analyst Audit & Assurance

As a data analyst in Audit & Assurance you will take ownership of end-to-end analytics work and help turn concepts into production ready solutions. Your key responsibilities will include:

Interpreting analysing and visualising data using Python SQL Databricks and Power BI.

Translating analytical outcomes into clear actionable insights and guidance for auditors and clients ensuring state-of-the-art solutions are practically applied in audit processes;
developing web tools to automate manual tasks and improve team efficiency. Building and operationalising ETL pipelines with big data technologies such as Spark on Azure and delivering tailored analytics for audit teams;
maintaining and supporting existing data solutions including re-executing and validating pipelines monitoring workloads and troubleshooting incidents;
applying AI and machine learning techniques to enhance audit and assurance practices.

Were looking for proactive colleagues who enjoy solving problems iterating quickly and delivering measurable impact.

Qualifications :

We seek individuals who are naturally curious and eager to learn every day with a keen eye for detail. But most importantly be the true you. The one and only you. With your personal strengths unique perspective and character. For the position of Data Analyst in Audit & Assurance you need:

A masters degree in a relevant data field;
03 years professional experience in a relevant area.
familiarity with Git Azure DevOps and Agile ways of working;
affinity with finance or accounting data or processes;

the ability to explain technical results to non-technical audiences;

fluency in English and Dutch or the ambition to reach B2 Dutch in time.

Additional Information :

In this role youll contribute to improving audit quality and efficiency while gaining practical experience across the analytics lifecycle from prototype to production. You will work closely with auditors clients and platform teams and benefit from hands-on training structured mentorship and regular feedback to accelerate your technical and professional development. You will support audit teams in adopting analytics through training clear documentation and stakeholder engagement. Within a supportive team culture youll have opportunities to deepen your expertise through on-the-job learning formal training and focused projects with clear pathways to specialise in analytical engineering visualisation or advanced analytics.

Our work rhythm follows the audit cycle: early months are client facing followed by time for internal development and innovation. We value worklife balance and rarely require overtime. We have a hybrid working environment with 2 days in office with the team or clients.

For details on benefits and professional development please refer to the Deloitte website.

Remote Work :

No

Employment Type :

Full-time