Business Intelligence & Data Engineering Analyst - FTC New

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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