Tax Data Management & AI Data Analyst

Deloitte — Netherlands · Posted ~1 day ago

Mid Full-time Hybrid Visa History ✓

Skills

Data modeling SQL ETL Data analytics Azure SAP platforms Power BI SAP Analytics Cloud Data quality Data governance Data engineering Microsoft Azure Azure Synapse SAP Datasphere SAP BW/4HANA

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Summary

A data analyst position combining analytics, engineering, and artificial intelligence to create modern data solutions. The role involves building data pipelines, dashboards, models, and AI-enabled capabilities for business transformation.

Highlights

Flexible working options, professional growth programs, strong benefits, and the opportunity to build data and AI solutions that improve enterprise decision-making.

Description

This job in a nutshell: 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. 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 and hybrid working, in accordance with team and client commitments. 26 days of paid annual leave, and the opportunity to purchase additional leave. 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 also be used for personal purposes. 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 our collective health insurance scheme. An opportunity to benefit from tax-efficient facilities such as company 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. Various leave options tailored to meet your individual needs, from parental leave (also for rainbow families) to the flexibility of exchanging three national holidays for non-national holidays. Qualifications: 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 of Tax Data Management & AI Analyst:A master’s degree in a relevant field such as Information Management, Economics, Finance, Tax Law, Data Science, Computer Science, or related disciplineKnowledge of data modeling, SQL, and ETL conceptsExperience or affinity with dashboards like Power BI or SAP Analytics CloudCuriosity for AI and how it can enhance processesStrong verbal and written proficiency in EnglishA collaborative mindset and eagerness to learn. What impact will you make?: 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. How do you do this?: Building and optimizing ETL pipelines using Azure Synapse or SAP Data FlowsDesigning layered data models tailored to use casesDeveloping dashboards in Power BI or SAP Analytics CloudApplying AI techniques to improve data classification, anomaly detection, or predictive forecastingPerforming data quality checks and implementing validation rulesSupporting the development of tax data roadmaps and governance frameworksContributing 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.