Senior Data Analyst

🕒 May 11

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Logo of Valtech

Valtech

5001 - 10000 employees

Founded 1997

🤝 B2B

☁️ SaaS

B2B • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• 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

🎯 Requirements

• 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).

🏖️ Benefits

• Private health insurance • Education program • Wellbeing program • Free beverages • Events • Competitive conditions • Challenging projects • Cool colleagues • Honest feedback

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