Senior Data Analyst

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care a nd dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global framework, which enables seamless collaboration The role As a Senior Data Analyst, you are passionate about data-driven transformation and eager to push the boundaries of what’s possible. You bring 5+ years of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: A curious problem solver who can translate business needs into actionable data requirements A self-driven professional who can work autonomously and proactively after onboarding A collaborator who values teamwork and knowledge-sharing across technical and business teams Excited by the intersection of data, technology and operational excellence Experienced in Agile methodologies and working within complex enterprise environments Role responsibilities 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 Must have qualifications To be considered for this role, you must meet the following essential qualifications: 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 qualifications 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 If you do not meet all the listed qualifications or have gaps in your experience, we still e