Barclays Data Analyst Job Openings 2025 – Apply Soon!

Qualifications

To be successful as a Data Analyst, you should have experience with:

• SQL
• Snowflake
• Teradata BTeq
• Banking domain knowledge with experience on Regulatory deliveries

Some other highly valued skills may include:

• Exposure to UK Regulations
• Cloud Technologies
• Big data tools
• Critical thinking and pattern recognition

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the role:

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

Accountabilities:

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.