Deloitte
Financial Services
DataAnalyst-Audit&Assurance
Neural analysis suggests this role is
optimal for entry candidates.
“Data Analyst - Audit & Assurance at Deloitte. Skills: End-to-end analytics work, Concept to production-ready solutions, Data interpretation, analysis, and visualization, ETL pipeline development, AI and machine learning application. Interpreting, analysing and visualising data. Translating analytical outcomes into clear, actionable insights and guidance”
What You'll Achieve.
Turn concepts into production ready solutions; Ensure state-of-the-art solutions are practically applied in audit; Improve team efficiency; Improve audit quality and efficiency; Gain practical experience across the analytics lifecycle from prototype to production
Industry & Context.
Solving problems; Iterating quickly; Delivering measurable impact
What They're Looking For.
Must Have
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, Ability to explain technical results to non-technical audiences, Fluency in English and Dutch, or the ambition to reach B2 Dutch in time
Nice to Have
Affinity with finance or accounting data
What You'll Do.
analysing and visualising data
Translating analytical outcomes into clear
actionable insights and guidance
Developing web tools to automate manual tasks
Building and operationalising ETL pipelines
Delivering tailored analytics for audit
Maintaining and supporting existing data solutions
Re-executing and validating pipelines
Applying AI and machine learning techniques to enhance audit and assurance practices
How You'll Work.
Team & Collaboration
Work closely with auditors, clients and platform teams; Support audit teams in adopting analytics through training, clear documentation, and stakeholder engagement; Work within a supportive team culture
Communication Scope
Translating analytical outcomes into clear, actionable insights and guidance for auditors and clients; Ability to explain technical results to non-technical audiences
Full Job Description
Delivering solutions to our clients by implementing innovative data-driven tools and services. At Deloitte. 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. 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. ## Additional Information In this role you’ll contribute to improving audit quality and efficiency while gaining practical experience across the analytics life
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