Zurich Insurance
Data Analyst / Data Engineer (Commercial Insurance)
Senior Data Analyst on Zurich's global Commercial Insurance team in Barcelona: translating stakeholder needs into data-driven solutions, analyzing complex datasets, and building dashboards and reports while ensuring data quality. Core stack includes SQL, cloud platforms (Microsoft Azure, Databricks), and scripting in Python, Scala, or R, with interest in NLP/text analytics.
- Compensation
- Not disclosed
- Location
- Barcelona, Spain
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Professional experience working with data and exposure to data engineering concepts
- Proficient in SQL for querying and data manipulation, with understanding of query optimization and indexing in RDBMS or big data environments
- Experience with cloud-based technology and solution design (e.g., Microsoft Azure Products, Databricks)
- Familiarity with scripting languages such as Python, Scala or R
- Hands-on experience across the data lifecycle — from data gathering and cleaning to visualization and reporting
- Strong teamwork and communication skills, with the ability to explain technical concepts to technical and non-technical audiences
- Excellent written and spoken English
Nice to have
- Interest or experience in applying AI and machine learning techniques, particularly NLP or text analytics
- Previous experience in insurance is an advantage
- Additional European languages are a plus
Full description
About the Role
We are looking for a Senior Data Analyst to join our global Commercial Insurance team. The role involves working closely with stakeholders, analyzing complex data sets, developing dashboards, ensuring data quality, and collaborating across teams.
Responsibilities
- Work closely with stakeholders to understand business needs and translate them into data-driven solutions.
- Analyze complex datasets to identify trends, patterns, and opportunities that drive business performance.
- Develop clear reports, dashboards, and visualizations to communicate findings and support decision-making.
- Collaborate with cross‑functional teams to implement improvements based on your analysis.
- Ensure data quality and integrity across various sources and processes.
- Work alongside experts in various technological domains.
- Enhance your skills with real‑world experience.
- Contribute to a team that values your input and creativity.
Qualifications
- Professional experience working with data and exposure to data engineering concepts.
- Proficient using SQL for querying and data manipulation, good understanding of query optimization and indexing, whether in RDBMS or big data environments.
- Experience with cloud‑based technology and solution design (e.g., Microsoft Azure Products, Databricks).
- Familiarity with scripting languages such as Python, Scala or R.
- Hands‑on experience across different stages of the data lifecycle—from data gathering and cleaning to visualization and reporting.
- Interest or experience in applying AI and machine learning techniques, particularly in NLP or text analytics.
- Previous experience in insurance is an advantage.
- A can‑do attitude, focused on delivering valuable, user‑friendly solutions tailored to specific business challenges.
- Eagerness to solve real business problems, with the persistence to see your recommendations through to implementation.
- Strong teamwork and communication skills, with the ability to explain technical concepts clearly to both technical and non‑technical audiences.
- Excellent written and spoken English; additional European languages are a plus.
Benefits
- Flexible working model to support work‑life balance.
- Over €300 to set up a home office and additional monthly home‑office allowance.
- Wide range of internal and external trainings (English, German, Spanish).