Data Analyst (SQL)

IAG GBS Poland sp. z o.o.Full time

IAG GBS (Global Business Services) a part of International Airlines Group (IAG).IAG is one of the world’s largest airline groups with 600+ aircraft carrying more than 122 million customers to 260 destinations across 91 countries each year.IAG brings together leading airline brands Aer Lingus, British Airways, Iberia, Level, Vueling. These are supported by IAG Loyalty that spans all its airlines and beyond, offering the global currency Avios and including BA Holidays, and IAG Cargo which delivers vital goods and produce around the world. These businesses are complementary to its core airline businesses.As the first airline group globally to commit to net zero by 2050, sustainability is a core part of IAG’s strategy.IAG GBS drives efficiency and simplicity in providing centralised solutions in Finance Operations, Financial Planning and Analysis, Tax, Treasury, Audit and Airline services across IAG.We are headquartered in Kraków.

 

Purpose of the role

At IAG GBS, high-quality, reliable data is essential for efficient Finance Operations, accurate reporting and effective process performance. The Data Analyst (SQL & Data Quality) plays a key role in ensuring data integrity across multiple systems, processes and Operating Companies.
In this role, you will apply strong SQL capabilities and analytical thinking to evaluate data quality, build and optimise validation logic, investigate anomalies, and support continuous improvement. You will work closely with Process Analytics, Finance Operations and cross-functional stakeholders to strengthen the visibility, accuracy and governance of data across the organisation.
This role is ideal for someone who thrives on solving data inconsistencies, designing queries that uncover hidden issues, and collaborating with finance and technical teams to improve end-to-end data quality.

Responsibilities

·       Develop, refine and optimise complex SQL queries, joins and validation rules across large datasets.

·       Perform data profiling, identify anomalies, inconsistencies and missing key fields.

·       Conduct root cause analysis and propose corrective and preventive actions.

·       Ensure efficient processing of queries through performance tuning and query optimisation.

·       Maintain and enhance rule-based validation logic for Finance Operations datasets.

·       Support integration of new data sources, tables and fields into data quality checks.

·       Document logic, validation standards and exception handling processes.

·       Ensure consistency, traceability and transparency of data quality outputs.

·       Collaborate with Finance Operations teams to understand data challenges and provide analytical insights.

·       Provide reports and insights that highlight trends, root causes and systemic data concerns.

·       Support operational governance forums with data-driven findings.

·       Work closely with Process Analytics, IT/Data teams, and other OpCos to align on data logic and requirements.

·       Participate in workshops and working groups related to data quality improvement.

·       Translate business requirements into SQL specifications and analytical outputs.

·       Communicate findings in a structured way to both technical and non-technical stakeholders.

·       Identify opportunities to automate checks, streamline data pipelines and strengthen validation frameworks.

·       Propose enhancements to datasets, data structures and field usage that improve data reliability.

·       Contribute to the development of data quality best practices, playbooks and documentation.

·       Support potential future use of dashboarding tools (e.g., Tableau, Power BI) to visualise data quality trends.

Required Skills, Qualifications & Experience:

What we offer:

The chance to enjoy a challenging career in an exciting, fast-moving environment in a dynamic industry.

The opportunity to work in a multi-cultural environment with great offices in many locations. We aim to provide all our people with a work/life balance, as well as the many benefits offered by a global organisation, including health insurance, pension and performance bonuses.

We are an equal opportunities employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.