Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job DescriptionWhy This Role Is Critical
The Analyst will form part of the Data Insights and Attributes team, which is responsible for delivering insights derived from client, credit bureau, and alternative data sources. This includes industry benchmark reports, Application Decision Outcome (ADO) reports, bureau and bespoke attribute development, attribute monitoring, and custom analytics solutions.
The Analyst will support the delivery of priority projects and business initiatives, working effectively both independently and as part of a collaborative team.
What You'll Bring to the Team
Technical and Industry Expertise
Strong knowledge of the credit industry and credit lifecycle.
Proven experience with Python. Experience with SAS, SQL, and GitHub will be advantageous.
Experience in building reports and dashboards (e.g. Power BI)
Experience in data analysis, data quality management, and attribute development.
Understanding of attribute monitoring and performance tracking.
Experience working with consumer and business bureau data is preferred.
Knowledge of databases, data warehousing, ETL processes, big data frameworks, cloud platforms, and machine learning concepts will be advantageous.
Personal Attributes
Strong attention to detail and commitment to data accuracy and integrity.
Analytical and inquisitive mindset with a passion for solving complex business and data challenges.
Strong communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
Ability to collaborate effectively with team members and cross-functional stakeholders.
Commercial awareness and a focus on delivering efficient, high-quality outcomes.
Key Responsibilities
Analytics and Data Solutions
Execute and deliver data analytics projects aligned with business objectives.
Develop, maintain, and enhance bureau and bespoke client attributes.
Extract, transform, validate, and analyse data from multiple sources.
Deliver custom analytical solutions for both clients and internal stakeholders.
Analyse benchmark reports and monitoring packs to identify trends, insights, and opportunities.
Process Improvement and Quality Assurance
Review and optimise existing data processes to improve efficiency and quality.
Implement and maintain quality control procedures for analytics solutions and attribute development.
Reduce error rates and rework through effective validation and testing processes.
Ensure all outputs meet required quality and business standards.
Project Delivery
Plan, organise, and manage workload to meet project deadlines.
Supervise and support junior analysts where required.
Identify project risks early and implement mitigation actions.
Maintain accurate project time recording and timesheet management.
Documentation and Knowledge Management
Ensure all processes, methodologies, and products are appropriately documented.
Create and maintain documentation to support business continuity and operational resilience.
Keep documentation up to date and accessible to both internal and external stakeholders.
Stakeholder and Client Support
Support the sales team with client queries relating to analytics solutions.
Assist with proposals, sales materials, tenders, and client presentations.
Participate in client meetings to support pre-sales and post-sales discussions.
Identify opportunities for analytics-driven revenue generation and communicate these to management.
Team Development and Collaboration
Support junior team members in both technical and analytical disciplines if required.
Contribute to knowledge sharing and skills development within the team.
Participate in sales enablement activities for new analytics products and solutions if required.
Professional Development
Stay abreast of industry developments, market trends, legislation, and regulations relevant to Experian's analytical solutions.
Maintain and action an agreed personal development plan in consultation with the line manager.
Key Competencies
Technical Competencies
Business Statistics
Data Analysis
Report Writing
Presentation Skills
Project Management
Process Improvement
Behavioural Competencies
Accuracy and Attention to Detail
Analytical Thinking
Critical Thinking and Decision-Making
Problem Solving
Innovation and Creativity
Ownership and Accountability
Delivering Results
Managing Multiple Priorities
Adaptability
Initiative
Teamwork and Collaboration
Relationship Management
Client Focus
Communication with Impact
Integrity and Confidentiality
Conflict Management
Resilience and Stress Tolerance
Experience
Experience within the credit, financial services, or bureau environment.
Experience developing analytical products and client-facing solutions.
Experience working with cloud-based analytics platforms and big data technologies.
Qualifications
- Degree or equivalent qualification in a highly quantitative field such as: (Mathematics, Statistics, Economics, Physical Sciences, Engineering, Actuarial Science)
- Minimum of 4 years' experience in data analysis, analytics, or any related field.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
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Skills Required
- Degree or equivalent qualification in a quantitative field such as mathematics, statistics, economics, physical sciences, engineering, or actuarial science
- Minimum 4 years of experience in data analysis, analytics, or a related field
- Strong knowledge of the credit industry and credit lifecycle
- Proven experience with Python
- Experience building reports and dashboards, such as Power BI
- Experience in data analysis, data quality management, and attribute development
- Experience within the credit, financial services, or credit bureau environment
- Experience developing analytical products and client-facing solutions
- Experience with SAS, SQL, and GitHub
- Experience working with consumer and business bureau data
- Knowledge of databases, data warehousing, ETL processes, big data frameworks, cloud platforms, and machine learning concepts
- Experience working with cloud-based analytics platforms and big data technologies
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
