Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Data Warehouse Analyst

Data Warehouse Analysts collect, interpret, and transform data from various systems to support strategic business decisions. They design and document end-to-end technical specifications, translate business needs into data models, and collaborate closely with BI, engineering, and governance teams to ensure robust, scalable data solutions.

Core Responsibilities

Engage with stakeholders (requesters, consuming applications, technical teams) to clarify requirements, validate expected functionalities, and align on priorities and dependencies.
Analyze data from multiple sources, identifying trends, anomalies, inconsistencies, and ensuring data integrity.
Create detailed technical specifications (data contracts, source-to-target mappings) for Data Warehouse and ETL processes across multiple domains (Client, Product, Transactions).
Contribute to data mart design, analytics requirements, and reporting structures.
Drive cross-functional collaboration with business users and engineering teams to identify and mitigate risks and dependencies.
Produce comprehensive gap analysis documentation to highlight functional and technical discrepancies.
Develop and maintain technical requirements documentation for all data-related solutions.
Produce business requirement documents with technical mappings, document end-to-end workflows and system integration points, and define use cases with transformation logic.
Document ETL implementations and enhancements (source-to-target mappings, validation rules, change impact analysis).
Perform peer reviews and coach other team members.
Support preparation and validation of test scenarios.
Conduct impact analysis across all Data Warehouse layers.
Collaborate with data governance to define and configure metadata, data quality, and reference data components.
Actively participate in Agile ceremonies and contribute to effort estimations.
Support data modelers with clarifications required for scalable design.
Contribute to defining, aligning, and maintaining analysis policies, tools, standards, artefacts, and process definitions.
Provide L3 support when required.

Technical Skills Required

Solid understanding of Data Warehouse architecture.
Strong knowledge of BI solution implementation lifecycle.
Hands-on experience with Oracle SQL and writing complex analytical queries.
Familiarity with ETL processes and data pipeline structures.
Awareness of data quality frameworks and data governance standards.
Experience with data governance tools (Business Glossary, Data Quality, Reference Data Management).
Advanced knowledge of banking products, processes, and industry-specific data.

Key Qualifications

3–5 years of experience as a DWH Analyst in complex projects, ideally within financial services.
Bachelor's degree in Economics, IT, Computer Science, or related fields. Advanced certifications are a plus.
Proven experience in data analysis roles within banking environments.
Experience with project management tools (e.g., Jira) is a plus.
Experience working in metadata-driven environments.
Strong understanding of data management principles and processes.
Advanced proficiency with Excel and MS Office for analysis and reporting.

Additional Technical Expertise

Proven experience preparing source-to-target mappings and collaborating with multi-disciplinary teams.
Mid-level experience building queries across various databases (Oracle, SQL Server, Databricks, Snowflake).
Strong working knowledge of data management tools and standards.

Other Essential Skills

Strong understanding of data management concepts (Glossary, DQ, RDM, Lineage).
Excellent analytical and problem-solving abilities.
Strong communication and collaboration skills.
Ability to work independently in fast-paced environments and manage multiple tasks simultaneously.
High ownership mindset with the ability to drive tasks to completion.
Experience mentoring or consulting internal stakeholders.
Detail-oriented, quality-focused, and committed to continuous improvement.
Experience with Agile methodologies.
Quick learner with strong motivation to stay up-to-date with emerging technologies.

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Bonus Points (Nice to Have)

Experience with data modeling tools.
Experience with reporting tools.
Additional experience with Data Governance tools (Glossary, DQ, RDM).

Why Join Us?

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.

Let’s grow together.

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