Senior Data Analyst

Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI.

Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high‑performance computing, AI, and quantum technologies.

Every day, our teams push the boundaries of what is technologically possible – from next‑generation HPC architectures to exascale supercomputers – supported by world‑class R&D, more than 1,600 patents, and unique end‑to‑end capabilities spanning hardware design, software engineering, data science and quantum research.

We are a people‑centric, innovation‑driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.

 Senior Data Analyst

We are looking for a Senior DWH Data Analyst to translate business requirements into clear, scalable data solutions for the banking sector.

You will work closely with business stakeholders, data modelers, engineers and governance teams to define requirements, analyse data and support the delivery of Data Warehouse, ETL, reporting and analytics solutions.

Key responsibilities
•    Work with requesters, consuming applications and technical teams to clarify requirements, priorities, dependencies and expected functionality.
•    Analyse data from multiple sources to identify trends, anomalies, inconsistencies and data quality issues.
•    Translate business needs into technical specifications, including data contracts, source-to-target mappings, transformation logic and validation rules.
•    Define requirements for Data Warehouse, ETL, data marts, reporting and analytics solutions across domains such as clients, products and transactions.
•    Document business requirements, workflows, system integration points, use cases, ETL implementations and enhancements.
•    Perform functional and technical gap analysis, change impact analysis and impact assessment across all Data Warehouse layers.
•    Partner with data modelers and engineers to design scalable, high-performance solutions and clarify implementation requirements.
•    Collaborate with data governance teams to define metadata, glossary, data quality, reference data and lineage configurations.
•    Support test scenario preparation and validate delivered solutions against agreed requirements.
•    Identify and manage risks and dependencies across business and technical teams.

•  Contribute to analysis standards, policies, tools, processes and reusable delivery artefacts.

Required experience and skills
•    3–5 years of experience as a DWH or data analyst on complex banking or financial services projects.
•    Strong knowledge of banking processes, products and data domains.
•    Good understanding of Data Warehouse architecture, data marts, ETL processes, data pipelines and BI implementation.
•    Proven experience preparing source-to-target mappings, data contracts and technical requirements.
•    Good SQL skills, including complex queries for data extraction, validation and analysis.
•    Experience with Oracle and familiarity with platforms such as SQL Server, Databricks or Snowflake.
•    Understanding data modelling and metadata-driven environments.
•    Strong knowledge of data management principles and standards.
•    Experience with data governance concepts and tools, including business glossary, data quality, reference data management and lineage.
•    Advanced Microsoft Excel skills and good knowledge of Microsoft Office tools.
•    Experience working with Agile delivery practices.
•    Bachelor’s or Master’s degree in Computer Science, Engineering, Economics, Information Technology or a related field.

Nice to have
•    Experience with data modelling tools.
•    Experience with reporting tools.
•    Experience with Jira or similar project management tools.
•    Relevant data analysis or data management certifications.

Why join us?
•    Work on high-impact projects integrating cloud, AI, and data technologies.
•    A collaborative environment focused on innovation, mentorship, and knowledge-sharing.
•    Training and Certifications: Access to continuous learning and career development opportunities.
•    Flexible working environment
•    Competitive salary and benefits package.
•    Reimbursement: Get a yearly fixed amount for reimbursement.
•    Performance Bonus: Earn an annual performance bonus based on your achievements.
•    Career Advancement: Explore numerous opportunities for professional growth and career advancement.
•    Extra Vacation Days: Take advantage of additional vacation days to relax and recharge.

Here, your ideas, your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value, accelerating scientific progress and driving positive impact for society.