Zurich Insurance

3 months ago

Senior Analyst - Digitalization & Data (Barcelona, ES)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Analytical engineering role at the intersection of data engineering, analytics and audit. Build and maintain analytics-ready data products, curated datasets, ETL pipelines and reporting layers to underpin management reporting, operational MI, and Group Audit’s AI strategy. Hands-on with data to enable auditors, analysts, and AI solutions while ensuring governance and trusted data.

Location: Barcelona

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop and manage analytics-ready data layers: design, build and maintain curated datasets (e.g., silver and gold layers) transforming raw audit and enterprise data into stable, reusable assets for reporting, MI, and AI use cases.
•Build 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.
•Design data models for reporting and AI enablement: apply strong data modelling principles (facts, dimensions, relationships, semantics) to ensure consistent metrics across dashboards and analytics use cases; partner with Group Audit stakeholders.
•Enable Group Audit’s AI strategy through robust data foundations: prepare and structure both structured and unstructured data for AI/GenAI solutions, ensuring explainability, traceability and governance by design.
•Manage data quality and governance at the analytics layer: embed data quality checks, validation rules, and governance requirements directly into data transformations and models.

Key Requirements

•Strong analytical engineering and data development experience: design, build and maintain analytics-ready datasets, ETL pipelines and reporting layers for audit and enterprise data.
•Advanced SQL and data transformation skills with large, structured datasets.
•Power BI, dataflows, semantic models and reporting enablement experience.
•AI-ready data mindset: prepare data for AI/GenAI solutions with governance by design.
•Fluent in English and able to communicate with stakeholders; hands-on data practitioner.

Experience:Data analyticsAuditBIAI

Skills:SQLPower BIETLData modelingDatabricksFabricAIGenAIPower BI dataflows

Languages:English

Tech Stack:SQLPower BIETLDatabricksFabricDataflowsAIGenAI

Company Brief

Zurich Insurance

Zurich Insurance Group is a global insurance company offering a wide range of general insurance and life insurance products and services to individuals, small businesses and large corporations across multiple markets worldwide.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Zurich, Switzerland

Founded: 1872

Glassdoor: 3.7

Website LinkedIn

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Zurich Insurance

3 months ago

Senior Analyst - Digitalization & Data (Barcelona, ES)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Barcelona

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Develop and manage analytics-ready data layers: design, build and maintain curated datasets (e.g., silver and gold layers) transforming raw audit and enterprise data into stable, reusable assets for reporting, MI, and AI use cases.
•Build 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.
•Design data models for reporting and AI enablement: apply strong data modelling principles (facts, dimensions, relationships, semantics) to ensure consistent metrics across dashboards and analytics use cases; partner with Group Audit stakeholders.
•Enable Group Audit’s AI strategy through robust data foundations: prepare and structure both structured and unstructured data for AI/GenAI solutions, ensuring explainability, traceability and governance by design.
•Manage data quality and governance at the analytics layer: embed data quality checks, validation rules, and governance requirements directly into data transformations and models.

Key Requirements

•Strong analytical engineering and data development experience: design, build and maintain analytics-ready datasets, ETL pipelines and reporting layers for audit and enterprise data.
•Advanced SQL and data transformation skills with large, structured datasets.
•Power BI, dataflows, semantic models and reporting enablement experience.
•AI-ready data mindset: prepare data for AI/GenAI solutions with governance by design.
•Fluent in English and able to communicate with stakeholders; hands-on data practitioner.

Experience:Data analyticsAuditBIAI

Skills:SQLPower BIETLData modelingDatabricksFabricAIGenAIPower BI dataflows

Languages:English

Tech Stack:SQLPower BIETLDatabricksFabricDataflowsAIGenAI

Company Brief

Zurich Insurance

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Zurich, Switzerland

Founded: 1872

Glassdoor: 3.7

Website LinkedIn