Lloyd James Media

Business Analyst

Wolverhampton WV3 0SR

Key information

Pay
Salary not listed
Hours
Full-time
Contract
Permanent
Workplace arrangement
On-site
Posted date
21 Oct 2026
Closing date
19 Nov 2026

About this role

Shape the Future with Data

Are you passionate about turning numbers into narratives and data into decisions? We are a datadriven organisation where insight isn't just a by-product — it's the engine behind everything we do.

From market strategy to operational performance, our decisions are shaped by rigorous analysis,

and we need sharp, curious minds to help us go further.

This is more than an entry-level role. As a Graduate Business Analyst, you'll work at the heart of our

business — collaborating with senior stakeholders, uncovering trends that matter, and influencing

strategy from day one.

About us

Lloyd James Media Group comprises of several inter-related businesses operating in a number of

sectors including, Legal, IT, Media, Property and Travel. We are an innovative and award-winning

company that recognises our people are crucial to our on-going success.

We thrive in a fast-paced, commercially driven environment where data informs our direction. We

have been around for over two decades, and we are expanding our business interests here in the

UK and growing our customer base further in the EU. It’s an exciting time to join our friendly,

professional and welcoming team of people.

About the Role

You'll join a collaborative and expanding analytics team that sits at the crossroads of data, strategy,

and business performance. From your very first week, you'll be involved in real projects with real

impact. Our structured two-year graduate development programme is designed to build your skills

rapidly, expose you to different areas of the business, and develop you into a well-rounded analyst

and future leader.

What you'll be doing

  • Analyse large, complex datasets to identify trends, opportunities, and risks that inform

strategic decision-making

  • Build and maintain interactive dashboards and reports that give stakeholders a real-time view

of business performance

  • Work alongside senior analysts and business leaders to translate data findings into clear,

compelling recommendations

  • Support the design and evaluation of business improvement initiatives using data-backed

evidence

  • Contribute to forecasting, scenario modelling, and KPI tracking across multiple business

functions

  • Present insights to both technical and non-technical audiences, turning complex outputs into

engaging stories

  • Collaborate cross-functionally with teams including Finance, Operations, Marketing, and

Product

  • Continuously explore new data sources, tools, and methodologies to sharpen our analytical

edge

What We're Looking For

We're looking for analytically-minded graduates who are as comfortable with a spreadsheet as they

are presenting to a boardroom. You’ll likely to have studied Business Analytics, Data Science,

Economics, Mathematics, Computer Science, or a related degree — but what matters most is your

curiosity, your drive, and your ability to think critically.

Essential skills & experience

•

A degree (2

1 or above) in Business Analytics, Data Science, Economics, Statistics,

Computer Science, or a numerate/analytical discipline

  • Proficiency in data analysis tools — Excel (advanced), SQL, Python, R, or similar
  • Experience working with data visualisation platforms such as Power BI, Tableau, MongoDB or

Looker

  • Strong analytical and problem-solving skills with a logical, evidence-based approach
  • Excellent written and verbal communication skills — able to convey complex ideas simply and

persuasively

  • Comfortable working with ambiguity and structuring your own approach to open-ended

problems

  • A genuine interest in how businesses operate and how data can drive better outcomes

Nice to have

  • Experience with statistical modelling, regression analysis, or A/B testing
  • Exposure to machine learning concepts or predictive analytics
  • Familiarity with cloud-based data platforms (e.g. Google BigQuery, AWS, Azure)
  • A previous Internship, placement year, or project work involving real business data