Tax Data Management & AI – Data Analyst

Data-driven role helping tax teams gain insight, automation and AI capabilities by combining data engineering, analytics and strategy on modern Azure and SAP platforms. At Deloitte.

This job in a nutshell

As a Tax Data Management & AI – Data Analyst, you’ll help leading companies gain insight and control over their data. In our fast-growing and diverse team, you will develop data-driven solutions that empower tax departments to meet reporting requirements, identify risks and opportunities, and contribute to broader finance transformations. You will work with both structured and unstructured data from data lakes and data warehouses using the full Microsoft Azure stack (e.g. Synapse, Power BI, Analysis Services) and SAP stack (e.g. SAP Datasphere, SAP BW/4HANA, SAP Analytics Cloud). Where relevant, you’ll also integrate Artificial Intelligence and advanced analytics to enhance automation, anomaly detection, and forecasting in tax processes.

Benefits

• You’ll receive a profit-sharing bonus on top of your fixed salary.
• Continuous professional growth through the development program.
• A work-from-home office setup allowance and internet allowance.
• Work part-time (32 hours a week) or full-time (40 hours a week).
• Flexible working hours, with control over 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 mobility scheme with options such as a lease car, public transport, a cash option, or a combination of these.
• A laptop and iPhone, with the iPhone available 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%.
• An opportunity to take part in the collective health insurance scheme.
• Access to tax-efficient facilities such as fitness, a bicycle scheme, or bicycle leasing.
• The opportunity to use 55 hours of babysitting service per calendar year if your child is 12 years old or younger.
• A flexible budget for choices in benefits, such as 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

Naturally you collaborate with your colleagues and you effectively communicate your complex ideas and analyses. But most importantly, be the true you. The one and only you. With your personal strengths, view of the world and unique personality, you need the following qualifications for the position:

Qualifications

• A master’s degree in a relevant field such as Information Management, Economics, Finance, Tax Law, Data Science, Computer Science, or a related discipline
• Knowledge of data modeling, SQL, and ETL concepts
• Experience or affinity with dashboards like Power BI or SAP Analytics Cloud
• Curiosity for AI and how it can enhance processes
• Strong verbal and written proficiency in English
• A collaborative mindset and eagerness to learn

How do you do this?

Responsibilities

• Building and optimizing ETL pipelines using Azure Synapse or SAP Data Flows
• Designing layered data models tailored to use cases
• Developing dashboards in Power BI or SAP Analytics Cloud
• Applying AI techniques to improve data classification, anomaly detection, or predictive forecasting
• Performing data quality checks and implementing validation rules
• Supporting the development of tax data roadmaps and governance frameworks
• Contributing to thought leadership on data-driven and AI-enabled tax operations

You will work closely with clients and internal stakeholders to translate requirements into robust, scalable data solutions. This includes data engineering practices like designing relevant data models from data lakes, building ETL pipelines, and developing insightful dashboards and reports. You will support clients in embedding solutions into their enterprise data platforms and help define long-term data strategies. AI-powered solutions—such as predictive analytics, natural language processing, or machine learning models—are increasingly part of your toolbox to help tax teams move from reactive to proactive decision-making.