Data Analyst - Audit & Assurance

Be the true you

Delivering solutions to our clients by implementing innovative data-driven tools and services. At Deloitte.

Benefits

• You’ll receive a profit-sharing bonus. On top of your fixed salary.
• Continuous professional growth. Join our development program.
• A work-from-home office setup allowance to make sure you have everything you need for an ergonomically designed workstation and internet allowance.
• Work part-time (32 hours a week) or full-time (40 hours a week).
• Flexible working hours, you are in charge of your own calendar.
• 26 days of paid annual leave, and the opportunity to purchase additional leave.
• The option to exchange three national holidays for three non-national holidays.
• A good mobility scheme: the choice of various options such as a lease car, travel by public transport, a cash option or a combination of these.
• A laptop and iPhone. The iPhone can be for personal use.
• A time for time arrangement that creates flexibility for personal moments that matter.
• A good pension scheme with a personal contribution of only 2%. For a comfortable future.
• An opportunity to take part in our collective health insurance scheme.
• An opportunity to benefit from tax-efficient facilities such as fitness, a bicycle scheme or the opportunity to lease a bicycle.
• The opportunity to use 55 hours of babysitting service per calendar year, if your child is 12 years old or younger.
• A flexible budget, which you can use to make choices in flexible benefits, for example: purchasing extra leave days or financing a bicycle plan.
• Six weeks of fully paid birth leave for traditional households and rainbow families.
  
  

Be the true you

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 master’s degree in a relevant data field;
• 0–3 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.
  
  

What impact will you make?

In this role you’ll 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, you’ll 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 work–life 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.

How do you do this?

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.
  
  

We’re looking for proactive colleagues who enjoy solving problems, iterating quickly, and delivering measurable impact.