Analytics Analyst

Company Description

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 Description

Why 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.

Additional Information

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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