Data Analyst

Ryanair Ltd.; Wrocław; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Staff travel benefits from day one

Creative work tax deduction

Multisport card

Office in city centre

Job summary

Ryanair Ltd. in Wroclaw, Poland is seeking a Data Analyst to transform raw data into actionable insights within our Business Intelligence team.

You will collect, cleanse, and model data to support strategic decisions, design A/B tests, and present findings to both technical and non-technical stakeholders while collaborating across finance, operations and IT.

Qualifications

• Proficiency in SQL for querying and manipulating databases.
• Strong experience with Power BI.
• Advanced Excel skills with pivot tables.
• Experience with statistical analysis and data modeling; Python is a plus.
• Experience with data warehousing concepts and ETL (preferred).

Responsibilities

• Collect, cleanse, and process data from multiple sources.
• Analyze complex datasets to identify trends and anomalies.
• Design and monitor A/B testing frameworks.
• Conduct statistical analysis and develop forecasting models.
• Collaborate with cross-functional teams to define data requirements.
• Present findings and recommendations to stakeholders.
• Develop AI agents to enhance business processes.
• Utilise Google Cloud Platform for insights and reporting.

Skills

SQL

Power BI

Excel

Python

Data warehousing

Job description

Ryanair, over our 40 year history has grown to become Europe’s largest airline group connecting more guests across more routes than any other European carrier. We are a fast-paced, ambitious and innovative company, offering exciting career opportunities across aviation, technology, operations and support functions. Now is a fantastic time to join as we look to grow to over 800 aircraft and 300m guests within the next 8 years.

Description

We are seeking a Data Analyst to join our Business Intelligence team in Wroclaw, Poland. In this role, you will convert raw data into actionable insights that support strategic business decisions. The successful candidate will demonstrate strong organisational capabilities, technical proficiency, and a commitment to identifying significant patterns within complex datasets.

• Collect, cleanse, and process data from multiple sources to maintain accuracy and consistency standards
• Analyse complex datasets to identify trends, patterns, and anomalies that inform business strategy
• Design and monitor A/B testing frameworks for experiments across multiple business domains
• Conduct statistical analysis and develop models to support forecasting and predictive analytics
• Collaborate with cross-functional teams across business, finance, and operations to establish data requirements and deliver tailored analytical solutions
• Present analytical findings and strategic recommendations to both technical and non-technical stakeholders
• Develop AI agents to enhance the efficiency of current business processes
• Utilise Google Cloud Platform for commercial insights analysis and reporting

Requirements

• Proficiency in SQL for querying and manipulating databases
• Strong experience with Power BI
• Demonstrated expertise in Excel, including advanced functions and pivot tables
• Experience with statistical analysis and data modeling techniquesProficiency inPython
• Strong analytical and problem-solving skills with attention to detail
• Excellent organizational and time management abilities
• Proven ability to work on multiple projects simultaneously
• Strong communication skills with the ability to explain complex data insights to non-technical stakeholders
• Experience with data warehousing concepts and ETL processes (preferred)
• Ability to work independently and collaboratively within a team environment

Benefits and types of contract

Contract of employment (permanent contract after trial period)

• Possible hybrid model (2 days from the office weekly)
• Staff travel benefits from day one
• Creative work tax deduction
• Multisport card

Other benefits:

• Great chance to meet your colleagues in other offices
• Option to participate in trainings and conferences
• Annual events (i.e. St. Patrick’s Day )
• Regular social meetings
• Paid referral system
• New office building surrounded by great dinettes right in the city centre