🟣 You will be:

analyzing complex datasets to identify trends, patterns, and actionable insights,
writing and optimizing complex SQL queries to support data analysis and product needs,
ensuring data quality through validation, testing, and defining quality checks,
profiling and exploring new and existing data sources to assess structure, usability, and reliability,
conducting deep data investigations to understand lineage, inconsistencies, and anomalies,
documenting data flows, business logic, constraints, and user processes to build organizational knowledge,
collaborating closely with Data Engineering, Product, and business stakeholders on data-related initiatives,
contributing to the development of data models (logical & physical), including semantic layers and curated datasets,
recommending improvements to data structures for better performance, scalability, and usability,
building and maintaining business and technical metadata (e.g. glossary, KPIs, data definitions),
supporting the development and enrichment of the data catalogue across internal and external sources,
assisting Product Managers in delivering outcomes within the product area,
supporting business teams during UAT and post-production with analysis and data-related queries,
partnering with engineering teams to inform system and data design decisions.

🟣 Your profile:

strong experience working with data-heavy projects, preferably in retail or e-commerce environments,
advanced SQL skills, including writing and optimizing complex queries,
proven ability to analyze large, complex datasets and translate them into insights,
experience with data validation, data quality checks, and ensuring data integrity,
strong understanding of data discovery, data profiling, and source analysis,
experience documenting data flows, logic, and business processes,
familiarity with data modelling concepts (logical & physical models, semantic layers),
ability to collaborate effectively with both technical (engineering) and business teams,
detail-oriented mindset with a strong focus on data quality and consistency,
upper intermediate/Advanced English (B2/C1).

🟣 Your profile:

experience working with data catalogues and metadata management,
exposure to data governance or data quality frameworks,
experience supporting UAT processes and working closely with business stakeholders,
background in large-scale data platforms or transformation initiatives,
experience in the retail domain is a strong advantage.

Work from Poland and a work permit are required.

🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision

🎁 Benefits 🎁

✍ Development:

🩺 We take care of your health:

🤸‍♂️ We are flexible:

👉 Business Analyst - Kraków

Xebia