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 DescriptionWe are seeking a junior Business Intelligence & Data Engineering Analyst on a 12 month FTC to support the development of dashboards, data pipelines, and analytics solutions.
You will work with Power BI, Python, SQL, and AWS while partnering with business and technical team members to turn data into meaningful insights.
This is a Hybrid, Nottingham based role (40% in the office) reporting to the Vice President for Enterprise AI Programs
What You'll Work On
Power BI & Data Visualization
- Assist in building and enhancing Power BI dashboards and reports
- Create and modify DAX measures, calculated columns, and basic time-intelligence calculations
- Help develop data models using concepts such as star schemas and table relationships
- Support dashboard performance, usability, and data-quality improvements
- Create clear visualizations that help business stakeholders understand trends, performance, and opportunities
- Learn how to design dashboards and analytics for senior and executive audiences
Data Engineering & ETL
- Develop and enhance Python-based data pipelines with guidance from the team
- Connect to REST APIs and work with JSON and other structured data
- Clean, transform, and validate datasets using Python libraries such as pandas
- Help implement error handling, logging, and data-quality checks
- Write clean, reusable, and well-documented Python code
- Load and manage structured data in relational databases
- Write SQL queries to retrieve, combine, and analyze data
Data Modeling & Metrics
- Help translate business questions into measurable KPIs and metrics
- Support the design and validation of calculated metrics
- Identify relationships across datasets and help integrate data from multiple sources
- Perform data-quality checks to ensure dashboards and analyses are accurate
- Investigate discrepancies and help determine root causes
- Work with the team to turn loosely defined business questions into analytical approaches
- Degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Engineering, or a related field
- Some programming skills in Python and SQL
- Familiarity with data visualization or BI tools i.e. Power BI.
- Academic or personal projects creating dashboards, ETL pipelines, or data engineering
- Understanding of basic data concepts such as tables, relationships, joins, aggregations, and data quality
- Some technical skills in one or more of the following - REST APIs, JSON, MySQL, AWS, GIT
Benefits package includes:
- Hybrid working - 40% office based
- Great compensation package and discretionary bonus
- Core benefits include Pension, Bupa healthcare, Sharesave Scheme and more
- 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.
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.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers
Grade: F/EB10
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Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- Degree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Engineering, or a related field
- Some programming skills in Python and SQL
- Familiarity with data visualization or business intelligence tools such as Power BI
- Academic or personal projects creating dashboards, ETL pipelines, or data engineering solutions
- Understanding of tables, relationships, joins, aggregations, and data quality
- Technical skills in one or more of REST APIs, JSON, MySQL, AWS, or Git
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.
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