ph3Who are we? /h3 pZurich Group Audit is a diverse international team of over 275 colleagues from 33 different nationalities, working globally as one function with a common purpose: to keep Zurich safe, today and for the future. Together, we bring our skills, capabilities, and unique strengths to provide real insights to our stakeholders and drive positive change. Our ambition is to be the best we can be for our company, our people, and our communities. We are committed to continuous learning and improvement, striving to excel in what we do and how we do it. To support this, we are transforming into a fully digital, data‑driven and AI‑enabled function, maximising our human capabilities with technological innovation. /p h3Audit Operations /h3 pThe Audit Operations team sits at the heart of the internal audit function. We support the general audit community by continuously improving how Group Audit works, how we use data, and how we enable insight at scale. Within Operations, the Digitalization, Data Strategic Initiatives team plays a key role in enabling Group Audit’s digital transformation. We own the data, AI framework and digital foundations that support Group Audit. /p h3What can you expect? /h3 pWe’re looking for an analytical engineer to sit at the intersection of data engineering, analytics and the audit business. Your focus will be on building and maintaining curated, governed, analytics‑ready data products that underpin management reporting, operational MI, and Group Audit’s AI strategy. You will play a hands‑on role in developing the data and analytics infrastructure that enables auditors, analysts and AI solutions to work with trusted data. /p h3Your key responsibilities will include: /h3 ul liDevelop and manage analytics‑ready data layers: Design, build and maintain curated datasets (e.g. silver and gold layers) that transform raw audit and enterprise data into stable, reusable assets for reporting, MI, and AI use cases. /li liBuild and maintain ETL and data transformation pipelines: Implement robust ETL processes using SQL, dataflows and analytics platforms to ensure data is timely, accurate, and structured for consumption by Power BI and downstream AI solutions. /li liDesign data models for reporting and AI enablement: Apply strong data modelling principles (facts, dimensions, relationships,



semantics) so that metrics and insights are consistent across dashboards, report and analytics use cases. Partner closely with Group Audit stakeholders to ensure solutions meet user requirements. /li liEnable Group Audit’s AI strategy through robust data foundations: Prepare and structure both structured and unstructured data so it can be safely and efficiently used by AI and GenAI solutions. This includes ensuring explainability, traceability and governance by design. /li liManage data quality and governance at the analytics layer: Embed data quality checks, validation rules, and governance requirements directly into data transformations and models, ensuring data is trusted, auditable, and fit for purpose. /li /ul h3What makes you a great fit? /h3 ul liStrong analytical engineering and data development experience: Proven experience designing and building analytics‑ready datasets, ETL pipelines, and reporting layers in modern data environments. /li liAdvanced SQL and data transformation skills: You are confident developing and maintaining complex SQL transformations and working with large, structured datasets. /li liPower BI, dataflows, and reporting enablement experience: Hands‑on experience with Power BI, semantic models, dataflows, and feeding reliable data into dashboards and MI. /li liAI‑ready data mindset: You understand how data architecture, quality, and metadata underpin AI and GenAI solutions, and have experience preparing data for advanced analytics or AI use cases. /li liStrong ownership and delivery mindset: You take responsibility for your data products end‑to‑end, can manage competing priorities, and focus on building sustainable solutions rather than one‑off fixes. /li liAbility to work between technical and non‑technical audiences: You can explain data concepts clearly to business users and translate business requirements into well‑designed data solutions.



/li liAbility to turn data into business value: You understand the potential of data to drive better outcomes and can positively influence outcomes with your skills and ideas. /li liFluent spoken and written English. /li /ul h3Experience in the following is beneficial: /h3 ul liDatabricks, Fabric or similar analytics platforms /li liWorking with unstructured data and documents /li liExperience with data platform development, scripting, automation, or software engineering practices that support scalable and maintainable data solutions /li liSupporting analytics or reporting in risk, audit, or assurance environments /li liEnabling or supporting AI / GenAI solutions in a regulated environment. Experience of working with Microsoft Copilots, particularly in a Power BI/M365 environment. /li /ul h3And… What makes us special? /h3 ul liTo support your work‑life balance, we have adopted a flexible working model. /li liOver 300 euros to set up your home office and additional monthly home office allowance. /li liWide range of internal and external trainings, including English, German and Spanish classes depending on the need. /li liTicket restaurant and Health Insurance with the flexibility to exchange it for other benefits. /li liLife and accident insurance. /li liCollective Life retirement Plan. /li li2000 referral bonus if you bring other talented people like you to the company. /li liSpecial banking and insurance conditions plus exclusive employee discounts. /li liFunctional diversity benefits. /li liDifferent social clubs such as hiking, investment, beach volley and many more. /li liStock options and mortgage benefits. /li /ul h3Where are we located? /h3 pVia Augusta, Barcelona. /p h3How to apply /h3 pCan you see yourself in this role? Don’t wait any longer! Apply by sending your CV in English. If not, no worries! We’ll meet again in the future. Feel free to share my contact details with anyone you think would be a great fit. /p pAt Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. /p pLocation: ES - Barcelonabr/Schedule: Full Timebr/Recruiter: Alba Marin Sola /p /p #J-18808-Ljbffr

📌 Senior Analyst - Digitalization & Data (Barcelona)
🏢 Zurich Insurance
📍 Barcelona