01 Zakres zadań

Analyzing complex datasets to identify trends, patterns, and 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 data investigations to understand lineage, inconsistencies, and anomalies
Documenting data flows, business logic, constraints, and processes to build organizational knowledge
Collaborating 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 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

02 Wymagania

7 must-have · 1 język

Must-have

SQL

Ekspert

Analiza danych

Ekspert

Data Quality

Zaawansowany

Data modeling

Zaawansowany

Data Profiling

Zaawansowany

Documentation

Zaawansowany

AI Tools

Zaawansowany

Wymagane języki

Angielski

Zaawansowany

03 Profil kandydata

Ready to work from the client's office in Krakow (3 days per week)
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)
Practical experience using AI-powered assistants (e.g. ChatGPT, Claude, Copilot Chat, or similar) to improve productivity, quality, or decision-making in analysis and software delivery

04 O firmie

Xebia

1-5k · Kraków

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today—helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster.

Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver.

Our flexible delivery model combines client-facing teams in the US and Europe with nearshore capacity across Poland and Latin America, as well as a large-scale offshore hub in India working as a single, integrated network.

The result is a sophisticated hybrid model that combines local expertise with global reach. For our clients, this means faster time-to-value, easier access to highly specialized digital and AI talent, and the flexibility to scale solutions at the speed of business.

With round-the-clock delivery, built-in scalability, cultural alignment, and a strong focus on attracting and retaining the best global talent, we help global organizations build, scale, and innovate with confidence.

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