Senior Data Analyst

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, they help brands unlock new value in an increasingly digital world. They drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

• 5+ years of experience in data analysis, business analysis or data-focused delivery roles
• Experience gathering and documenting business and data requirements in enterprise environments
• Strong understanding of modern data platforms and data lifecycle concepts
• Experience working with Agile methodologies such as SCRUM and Kanban
• Familiarity with data warehousing concepts, including layered architectures such as bronze, silver and gold models
• Experience collaborating with cross-functional teams including data engineers, architects and business stakeholders
• Strong analytical thinking and problem-solving skills
• Excellent command of English (C2 level)

Nice to have:

• Experience working with Databricks or similar cloud-based data platforms
• Familiarity with data governance and data quality tooling
• Experience with Jira and Confluence
• Understanding of DBT, Airflow and modern transformation frameworks
• Knowledge of conceptual and logical data modeling practices
• Experience in operational or transportation-related environments
• Strong communication and stakeholder management skills
• Ability to work independently in fast-paced, evolving environments

• Gather, analyze and document business and data requirements from stakeholders across enterprise domains
• Manage and prioritize incoming data-related requests, tickets and business needs
• Translate business requirements into clear data requirements to support ingestion and transformation processes
• Support the development and expansion of enterprise-level data products and gold-layer datasets
• Collaborate with data architects, engineers and delivery leads to ensure alignment between business objectives and technical solutions
• Collect and document data quality rules, metadata and catalog descriptions for new data ingestions
• Work with governance and stewardship teams to support data lineage, quality and cataloging initiatives
• Facilitate communication between business stakeholders and technical delivery teams
• Contribute to continuous improvement initiatives across data delivery and operational processes
• Support Agile ceremonies, backlog refinement and workflow management activities
• Participate in cross-functional discussions related to data modeling, transformation logic and platform capabilities

This is a position based in Poland.