Senior Data Analyst

Expleo is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through their business transformation, helping them achieve operational excellence and future-proof their businesses.
Expleo benefits from more than 50 years of experience developing complex products in automotive and aerospace, optimizing manufacturing processes, and ensuring the quality of information systems. Leveraging its deep sector knowledge and wide-ranging expertise in fields including AI engineering, digitalization, automation, cybersecurity and data science, the group’s mission is to fast-track innovation through each step of the value chain.
With 19,000 employees and a worldwide presence in 30 countries, our global footprint includes excellence centers around the world. We are in Romania since 1994 and currently counting 1700 colleagues.

We are looking for a Senior Data Analyst to support a new Data Engineering team delivering Databricks-based data products for a Cyber Insurance business area. The role is suitable for a mid-senior profile with solid data analysis experience, able to work independently on data modelling, source-to-target mappings, source data analysis, and output validation, while collaborating closely with Data Engineers and business stakeholders. 

• Take ownership of data analysis activities for Cyber Insurance analytics and reporting requirements 
• Define, document, and maintain data models, business entities, relationships, and key data definitions 
• Create, review, and maintain source-to-target mappings to support ETL/ELT pipeline development 
• Analyse source data structures, transformation rules, data gaps, inconsistencies, and data quality issues 
• Work closely with Data Engineers to support the design of curated datasets across the medallion architecture 
• Validate transformed data against agreed business rules, mapping logic, and expected outputs 
• Support reporting and analytics needs by validating datasets, business definitions, and expected outputs 
• Document data definitions, transformation assumptions, lineage, validation rules, and analysis outcomes 
• Support the creation of trusted data products for business, actuarial, underwriting, risk, and reporting users 
• Collaborate with business and technical stakeholders to clarify requirements and align on expected outputs 

• Solid data modelling experience, including business entities, relationships, and data structures 
• Strong experience creating and maintaining source-to-target data mappings 
• Strong SQL skills for data analysis, profiling, validation, and reconciliation 
• Good understanding of ETL/ELT processes and collaboration with data engineering teams 
• Ability to translate business requirements into clear data requirements, mappings, and validation rules 
• Experience with data quality checks, reconciliation, and output validation 
• Strong documentation skills and good stakeholder communication 
• Attention to detail and a strong analytical mindset 

• Experience with Databricks, lakehouse/data warehouse environments, and BI tools (Power BI/Tableau)
• Understanding of Medallion architecture and data products, exposure to insurance data, and basic Python/PySpark knowledge.

• CIM or B2B (SRL) collaboration