This role is listed by an employer that holds a live Home Office sponsor licence on the Skilled Worker route.
Closest occupation match: SOC 2134, Programmers and software development professionals. Home Office going rate for this occupation: £54,700 a year.
Individual eligibility depends on personal circumstances. These figures are public reference information, not advice or a verdict on this job.
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.
We 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
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All rolesLast verified against our ingestion on 23 October 2026; sponsor register dataset 2026-10-22.