Business Intelligence & Data Engineering Analyst - FTC

• Full-time
• Employee Status:
  Regular
• Role Type:
  Hybrid
• Department:
  Technology
• Schedule:
  
  Full Time

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

• 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
• 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

• 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

• 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 Aff

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