Senior Analytics Engineer/Digital Insights Analyst

Poland and Middle-Eastern Europe; United States; Remote; USD 60,000 - 87,000; Full time

Job summary

Xebia is a global AI-first, digital transformation and engineering partner. We focus on AI, data and cloud, intelligent automation, and digital products with a people-first culture.

The project focuses on analyzing digital sales, customer behavior, and online performance data to support business decisions and identify opportunities for commercial improvement. The role involves analyzing data, building Power BI dashboards, defining KPIs, and communicating insights to stakeholders across the EU

Qualifications

• Professional experience as a Data Analyst or BI Analyst.
• Strong practical SQL skills.
• Strong practical Power BI skills, including dashboard/report development.
• Strong Databricks skills.
• Experience combining and preparing datasets for analysis and reporting.
• Ability to translate data into clear business insights and actionable recommendations.

Responsibilities

• Analyze sales, customer behavior, and digital performance data.
• Query, combine, structure, and prepare data from multiple sources.
• Build and maintain Power BI dashboards and reports.
• Define and analyze business KPIs.
• Identify trends, anomalies and opportunities for performance improvement.
• Translate business questions into data analyses and actionable recommendations.
• Communicate findings clearly to business stakeholders.

Skills

SQL

Power BI

Databricks

Data analysis

English

Stakeholder communication

Tools

Snowflake

Python

Job description

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. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

About the project:

The project focuses on analyzing digital sales, customer behavior, and online performance data to support business decisions and identify opportunities for commercial improvement.

You will be:

• analyzing sales, customer behavior, and digital performance data,
• querying, combining, structuring, and preparing data from multiple sources,
• building and maintaining Power BI dashboards and reports,
• defining and analyzing business KPIs,
• identifying trends, anomalies, and performance improvement opportunities,
• translating business questions into data analyses, actionable insights, and recommendations,
• proactively identifying opportunities to improve digital sales and webshop performance,
• communicating findings clearly to business stakeholders.

Your profile:

• professional experience as a Data Analyst or BI Analyst,
• strong practical SQL skills,
• strong practical Power BI skills, including dashboard and report development,
• strong Databricks skills,
• experience working with combining, structuring, and preparing datasets for analysis and reporting,
• ability to translate data into clear business insights and actionable recommendations,
• good understanding of business KPIs, trends, and anomaly analysis,
• good command of English,
• strong stakeholder communication skills.

Work from the European Union region and a work permit are required.

Nice to have:

• experience with Snowflake and Python or R,
• experience in e-commerce, digital sales, or web analytics.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision