Senior Data Analyst (Data Visualization Expert)

Hello, let’s meet!

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

Now, we've talked a lot about ourselves – but we'd love to hear more about you.

Send us your resume to start the conversation and join the #Xebia.

You will be:

• conducting analysis to estimate expected value of data products; measuring and tracking benefits created by data products, and converting them to financial or key KPI metrics,
• supporting business stakeholders and regional data analysts by understanding their needs and providing guidance and support,
• creating dashboards to track adoption and business impact of features and data product launched,
• diving deep into complex business problems and providing insights on digital features and AI model performance through hypothesis testing; partnering with cross functional teams on implementation.
• partnering with data science, data analytics and product managers on planning, goal setting and prioritization,
• partnering with data and engineering teams to improve instrumentation and product/models health reporting, pre/post analysis and business debugging,
• partnering with A/B test team to design experiments and post-hoc analysis of results.
• bringing data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and informing key strategic decisions,
• promoting a culture of data driven technical excellence, ownership, collaboration.

Requirements

Your profile:

• ability to start immediately,
• openness to work daily between till 19.00 pm CET,
• 3+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
• 3+ years of applied data visualization experience - Tableau and PowerBI as main visualization tools.
• 3+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Google BigQuery),
• coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data,
• hands-on experience working with big data, ideally clickstream data, in big data volume sectors such as ecommerce, gaming, social network etc. ecommerce platforms are a plus,
• ability to translate and present complex analysis in executive summaries - clear and effective written and verbal communication and strong interpersonal skills,
• strong problem solving skills,
• bachelor's in economics, Statistics, Data, Data Science and Engineering (Masters is a plus) or equivalent experience,
• good verbal and written communication skills in English.

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

Recruitment Process:

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