Business Intelligence & Data Engineering Analyst - FTC

Nottingham, England

Full-time, Contract

Hybrid

Entry Level

Experian is a global data and technology company. The junior Business Intelligence & Data Engineering Analyst supports the development of dashboards, data pipelines, and analytics solutions using Power BI, Python, SQL, and AWS, partnering with business and technical teams to turn data into meaningful insights.

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Responsibilities

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

Qualification

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 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