DI 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 experianplc.com.

• Analyze large datasets to identify trends, patterns, and actionable insights
• Design, develop, and maintain dashboards and reports for business stakeholders
• Work with cross-functional teams to understand business requirements and translate them into analytics solutions
• Develop and optimize data models, KPIs, and performance metrics
• Support business planning through forecasting, trend analysis, and performance tracking
• Ensure data accuracy, integrity, and consistency across reports
• Automate repetitive reporting processes using tools and scripts
• Present insights and recommendations to management in a clear and actionable manner
• Mentor junior analysts (if applicable) and ensure best practices in analytics

• Bachelor's degree in Engineering, Statistics, Mathematics, Economics, or related field
• 2-5 years of experience in analytics, business intelligence, or data roles
• Strong proficiency in:
  • SQL, Python, Pyspark
  • Excel (advanced functions, pivot tables, etc.)
  • Data visualization tools (Power BI, Tableau, or similar)
• Good understanding of data modeling and ETL processes
• Working knowledge of Python or R for data analysis (preferred)
• Ability to interpret data and provide business insights
• Strong communication and stakeholder management skills

• Experience in Data Intelligence / Business Intelligence environments
• Exposure to cloud platforms (Azure, AWS, or GCP)
• Experience working with large datasets and data warehousing concepts
• Basic understanding of machine learning concepts (optional but desirable)

• Analytical thinking
• Problem-solving mindset
• Attention to detail
• Business acumen
• Communication & presentation skills

• Opportunity to lead larger analytics projects and teams
• Career progression into Senior Analytics Manager / Data Lead roles

• Bachelor's degree in Engineering, Statistics, Mathematics, Economics, or related field
• 2-5 years of experience in analytics, business intelligence, or data roles