Dashboarding / BI Analyst

About the Position

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We are currently looking for a Dashboarding / BI Analyst to join our team in Poland. You will be responsible for designing and developing executive-level dashboards in Power BI, translating complex datasets into actionable insights, and collaborating closely with marketing teams to measure and improve campaign outcomes.

Responsibilities

• Designing and developing executive-level dashboards in Power BI with a strong focus on clarity, storytelling, and decision support.
• Gathering business requirements directly from stakeholders, including senior leadership and marketing teams.
• Translating complex datasets into clear, actionable insights that support strategic decision-making.
• Building and optimizing data models to ensure performance, scalability, and usability.
• Analyzing marketing performance, including campaign effectiveness, ROI, cost efficiency, and reach.
• Collaborating closely with marketing teams to measure, monitor, and improve campaign outcomes.
• Ensuring data quality, consistency, and governance across reporting solutions.
• Applying best practices in data visualization, user experience, and storytelling for executive audiences.
• Working in a fast-paced environment with rapid iterations and evolving business priorities.
• Challenging business assumptions and providing data-driven recommendations to support informed decisions.

Requirements

• Strong hands-on experience with Power BI.
• Proven experience in marketing analytics, including campaign performance, ROI, and marketing KPIs.
• Advanced SQL skills.
• Experience gathering requirements directly from business stakeholders and translating them into analytical solutions.
• Strong ability to build executive-friendly dashboards and communicate insights through data storytelling.
• Solid understanding of data modeling principles, including star schema and performance optimization.
• Strong analytical thinking and problem-solving skills.
• Ability to thrive in a fast-paced environment with quick decision-making cycles.
• Excellent communication and stakeholder management skills, with the confidence to challenge and guide business decisions.
• Very good English language skills (written and spoken).

Nice to Have

• Experience with cloud platforms, preferably Azure.
• Knowledge of modern data warehousing solutions such as Azure Synapse, Snowflake, or BigQuery.
• Experience with ETL/ELT tools such as Azure Data Factory or dbt.
• Familiarity with data governance and data quality practices.
• Experience supporting executive stakeholders or C-level reporting.
• Experience with near real-time analytics.
• Basic knowledge of Python or R for data analysis.
• Understanding of digital marketing channels and attribution models.
• Experience applying UX/UI best practices in BI dashboards.
• Experience in logistics, e-commerce, or other high-scale operational environments.

We Offer

• Opportunity to work with a global leader in AI-first, digital transformation, and engineering.
• Collaborate with a diverse team of experts across various industries.
• Work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.
• Continuous focus on growth and knowledge sharing.
• Professional development opportunities.

About the Company

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

Recruitment Process

1. CV review
2. HR call
3. Interview
4. Client Interview
5. Decision

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