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Data ScienceNOWE

Data Analyst

Xebia
Wrocław
100% zdalnie
Regular
min. 2 lata
Pełen etat
B2B
Dodane dzisiaj
Wynagrodzenie Jawne widełki
16 800–25 200PLN
netto / miesiąc·B2B
Pokaż szczegóły wynagrodzenia
Wynagrodzenie przeliczone z:
100 – 150 PLN/h
Duży ZUS:
Dziennie: ~546 – 854 PLN
Miesięcznie: ~11 457 – 17 928 PLN
Rocznie: ~137 489 – 215 134 PLN
Mały ZUS:
Dziennie: ~600 – 907 PLN
Miesięcznie: ~12 591 – 19 054 PLN
Rocznie: ~151 092 – 228 652 PLN
Oferta zweryfikowana · jawne widełki

01 Zakres zadań

Responsibilities:

  • Designing, building, and maintaining dashboards and reports that deliver meaningful business insights
  • Performing ad-hoc analyses, data validation, and troubleshooting using SQL
  • Collaborating with Analytics Engineers to ensure data models and data marts effectively support reporting and analytical needs
  • Creating intuitive data visualizations following BI and data visualization best practices
  • Configuring and maintaining row-level security and tenant-specific access within BI tools
  • Enabling and promoting self-service analytics across the organization
  • Working with modern data platforms to improve reporting standards and the overall analytics experience
  • Exploring new approaches to analytics, including embedded analytics and AI-powered reporting capabilities

Recruitment Process:

  • CV review
  • HR call
  • Technical Interview
  • Client Interview
  • Decision

02 Wymagania

7 must-have · 1 język

Must-have

SQL
Zaawansowany
MS Power BI
Zaawansowany
Looker
Zaawansowany
Sigma
Zaawansowany
Amazon QuickSight
Zaawansowany
Wizualizacja danych
Podstawowy
Row-Level Security
Podstawowy

Wymagane języki

Angielski
Zaawansowany

03 Profil kandydata

Key requirements:

  • Strong SQL skills for querying, validating, and analyzing data
  • Hands-on experience with modern BI platforms such as Amazon QuickSight, Sigma, Looker, or Power BI
  • Experience designing dashboards and reports with a strong focus on usability and effective data visualization
  • Good understanding of row-level security and tenant-based access control within BI solutions
  • Ability to work closely with both technical and business stakeholders to translate reporting requirements into effective analytical solutions
  • Work from the European Union region and a work permit are required

Nice to have:

  • Experience connecting BI tools to a lakehouse architecture using Amazon Athena, JDBC, or Apache Iceberg
  • Familiarity with self-service analytics and embedded analytics solutions
  • Understanding of data models and data marts, allowing effective collaboration with Analytics Engineers
  • Experience with Sigma (Input Tables, Sigma Tenants, warehouse-native analytics)
  • Exposure to AI-powered or natural-language analytics solutions ("talk to your data")

04 O firmie

Xebia
1-5k · Wrocław

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.

05 Lokalizacja

Sucha 3, Wrocław
Tryb pracy:
Elastyczne godziny pracy
Godziny pracy biura: 7-20
Model pracy
Stacjonarnie
Hybrydowo
100% zdalnie