VMA Group
Business Intelligence Analyst

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Business Intelligence Analyst
Exclusive opportunity to join a fast-growing organisation within the UK telecommunications sector, supporting the development of a sophisticated commercial intelligence and analytics capability.
The Business Intelligence Analyst will transform customer and commercial data into actionable insight, helping teams across Marketing, Sales, Customer Services, and Commercial Strategy make better, evidence-based decisions. The role will cover reporting, customer analytics, forecasting, and predictive modelling, with exposure to increasingly automated and AI-enabled analytics.
Hybrid working – 3 days in Oxfordshire office, 2 from home
Key Responsibilities
- Develop dashboards, reporting, and analysis covering sales, marketing, customer behaviour, pricing, propositions, and customer service.
- Analyse commercial performance across customer acquisition, churn, ARPU, penetration, customer lifetime value, and marketing effectiveness.
- Translate complex data into clear insight and recommendations for commercial stakeholders.
- Support customer segmentation and analysis of customer behaviour, demographics, competitor activity, and market trends.
- Help develop and maintain commercial intelligence datasets and improve the quality and accessibility of commercial data.
- Support predictive modelling across acquisition, churn, upgrades, customer lifetime value, marketing performance, and forecasting.
- Analyse pricing trials, marketing campaigns, proposition launches, and other commercial experiments to identify performance and opportunities.
- Identify opportunities to automate reporting, improve data quality, and streamline analytical processes.
- Work closely with Technology, Operations, and wider commercial teams to resolve data issues and strengthen analytical capability.
- Contribute to trusted reporting frameworks and executive dashboards providing a consistent view of commercial performance.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Skills & Experience
- Experience within commercial insight, business intelligence, data analytics, or performance reporting.
- Strong analytical capability with experience manipulating, interpreting, and drawing conclusions from complex datasets.
- Experience using Power BI, SQL, and Excel.
- Ability to communicate analytical findings clearly to non-technical commercial stakeholders.
- Commercially curious, with the ability to challenge assumptions and use data to identify opportunities and solve business problems.
- Experience within telecommunications would be particularly advantageous, although other data-rich, customer-focused sectors will be considered.
- Exposure to customer analytics, segmentation, forecasting, predictive modelling, or commercial experimentation would be beneficial.
- Experience with Snowflake, Python, R, or AI-enabled analytics tools would be advantageous.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
If you have the experience and are interested in discussing further, please get in touch ASAP with your current CV: gcharles@vmagroup.com
Due to a high volume of applicants, we are unable to respond to everyone. We will get in touch if you are successful in your application.
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