Data Analyst - Audit & Assurance

Deloitte Netherlands; Utrecht; On-site; EUR 40,000 - 60,000; Full time

Job summary

Deloitte Netherlands is seeking a Data Analyst in Utrecht to deliver data-driven solutions in Audit & Assurance. This role involves interpreting and visualizing data, developing web tools, and operationalizing ETL pipelines. Candidates should possess a Master’s degree in a relevant data field and 0-3 years of experience. The position offers exposure to the full analytics lifecycle and a hybrid work environment that balances client-facing and internal development work. Join to enhance your skills within a supportive team culture.

Qualifications

• 0–3 years' professional experience in a relevant area.
• Affinity with finance or accounting data or processes.
• Ability to explain technical results to non-technical audiences.
• Fluency in English and Dutch, or ambition to reach B2 Dutch.

Responsibilities

• Interpret, analyze, and visualize data using data tools.
• Translate analytical outcomes into actionable insights.
• Maintain and support existing data solutions.
• Build and operationalize ETL pipelines with big data technologies.

Skills

Data analysis using Python

SQL

Databricks

Power BI

AI and machine learning techniques

Git

Azure DevOps

Agile methodologies

Education

Master's degree in a relevant data field

Job description

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

Job Description

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.

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.

• 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.

Additional Information

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.