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, deliver digital 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 realise their financial goals and help them to save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
What you will do:
- Analyze large, complex datasets to extract clear, actionable insights and recommend process improvements
- Apply statistical and machine learning techniques (e.g., regression, random forests) to identify key drivers and build predictive models
- Identify valuable data features, handle outliers, and present findings through visual and numerical summaries
- Translate data into business solutions and develop scalable analytics capabilities
- Design and work with relational and distributed databases; build BI dashboards and reports across platforms
- Evaluate and select analytics tools, vendors, and data access solutions; support data monetization strategies
- Ensure data quality, accuracy, and integrity; resolve issues and document results
- Define project scope, timelines, resources, and costs; create plans and track progress
- Monitor delivery, mitigate risks, manage scope changes, and ensure profitability and quality standards
- Coordinate with cross-functional and global teams; maintain accurate time and performance tracking
- Collaborate with clients and stakeholders to deliver solutions and manage expectations
- Communicate insights clearly, resolve issues, and identify new business opportunities
- Support sales with analytics expertise, presentations, and proposal development
- Lead initiatives, mentor junior team members, and share knowledge across teams
- Contribute to tools, documentation, and best practices; support continuous learning
- Stay current on market trends, tools, and methodologies; pursue ongoing professional development
What you will bring:
- University degree with a high numerical content (such as Mathematics, Statistics, Computer Science, Economics);
- 4+ years of experience in the field of data analytics;
- Advanced Knowledge in statistical software packages and other related technologies;
- Skills summarizing data numerically and visually;
- Ability to tell compelling stories with data that are understood by diverse audiences;
- Mentor junior colleagues;
- Fluent English – written and spoken.
What you will get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
Experian is an Equal opportunity employer. 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.
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