Data Analyst

Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world.

We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software.

We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data.

As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries.

Our corporate headquarters are in Dublin, Ireland.

Learn more at

Job Description
You will be part of the Data Consumer Assurance function within the Data Management organization, supporting the monitoring, validation, and assurance of Experian's AWS-based data assets.

You'll help ensure that our data meets high standards for quality, completeness, and compliance — while working in a modern, cloud-native environment.

This role is ideal for a data professional with 1–3 years of experience who has a solid technical foundation in data analysis and is eager to deepen their expertise in AWS data tools and automation frameworks.

Key Responsibilities

• Monitor and evaluate AWS-hosted data assets to ensure quality, consistency, and completeness across platforms.
  
  
• Develop and automate data quality checks, validation routines, and anomaly detection processes using AWS Glue, Lambda, and SQL.
  
  
• Build and maintain interactive dashboards and reports in Amazon QuickSight to surface key data quality metrics and operational insights.
  
  
• Perform exploratory data analysis and data profiling to identify patterns, inconsistencies, and root causes of data issues.
  
  
• Partner with data engineering, compliance, and product teams to support governance processes and assist with remediation activities.
  
  
• Document monitoring procedures, automation scripts, and validation results for audit and traceability purposes.
  
  
• Participate in optimizing data workflows and identifying opportunities for automation within AWS-based pipelines (e.g., S3, Glue Jobs, Step Functions).
  
  
• Contribute to the continuous enhancement of data quality frameworks, documentation, and SLA monitoring processes.
  
  

Qualifications

• 1–3 years of experience in data analysis, data quality, or data operations.
  
  
• Proficiency with AWS services such as S3, Glue, Athena, Redshift, and QuickSight.
  
  Solid SQL skills for querying, validation, and data profiling.
  
  
• Working knowledge of Python for automation and scripting is a plus.
  
  
• Understanding of data governance and data quality principles.
  
  
• Experience working with large datasets and cloud-based data architectures.
  
  
• Strong analytical mindset with attention to detail and problem-solving ability.
  
  
• Effective communication and documentation skills; comfortable working cross-functionally.
  
  

Additional Information
Our uniqueness is that we celebrate yours.

Experian's culture and people are important differentiators.

We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering...

the list goes on.

Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few.

Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer.

Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success.

Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age.

If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.