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Accepting applications until: 19 August 2026
Job Description
Your Role: Data Analyst
We’re looking for a mid-level Data Analyst with 3–5+ years of commercial experience in a data analytics role, ideally within a fast-paced, data-driven business.
As a Data Analyst at Global, you’ll combine your curiosity for insight and your enthusiasm for delivering effective analytical solutions to help evolve Global’s market-leading business.
Key Responsibilities
- Building Analytical Solutions to Meet Complex Business Needs (40%): Develop a deep understanding of the business, then use that knowledge to gather requirements and create innovative solutions that meet them. Insightful data visualisations in Tableau will be central to the reports and deliverables you create.
- Solving Problems to Improve Robustness in Data Processes (30%): Adapt to the changing data landscape, identifying root causes of issues that arise and finding efficient solutions. Your problem-solving skills will support fellow data teams through collaboration and clear communication.
- Developing Your Skills & Supporting the Growth of the Team (30%): Apply a continuous learning approach to your work, improving your methods and expanding your perspectives. Support your team members, helping the team be greater than the sum of its parts.
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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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.
What You’ll Love About This Role
- Think Big: Help define the future of analytics at Global, bringing innovation and big ideas to drive the department forwards.
- Own It: Take responsibility for your successes and learnings, being proud of your work and the effort that went into it.
- Keep it Simple: Create effective solutions to business problems without overcomplicating the task at hand.
- Better Together: Collaborate with a team of like-minded data professionals to produce excellent work in a supportive and friendly environment.
What Success Looks Like
In your first few months, you’ll have:
- Gained a strong understanding of our operating model within the DAX business, and built some understanding of our classic audio, Outdoor and consumer businesses.
- Built a foundation of knowledge of the main data warehouses, systems and data workflows your squad works with.
- Got hands-on with the data, supporting projects by building solutions, testing data outputs or answering business questions.
- Spent time with team members and stakeholders to understand ongoing DAX workstreams, and contributed ideas to help shape the team’s direction.


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What You’ll Need
- Analytical experience: 3–5+ years of commercial experience in a Data Analyst or similar role, working with large, complex datasets.
- Delivery ownership: Demonstrated experience owning analytical projects from requirement gathering through to delivery and stakeholder presentation.
- Analytical mindset: A curious, questioning approach that challenges assumptions and uses logical processes to find actionable insight.
- Attention to detail: A rigorous approach to problem-solving and a keen eye for detail, helping you diagnose root causes and recommend the right solutions.
- Visualisation & data skills: Experience producing high-quality reporting with BI tools such as Tableau or Power BI, and querying and wrangling data with SQL.
- Communication & collaboration: The ability to break complex concepts into clear explanations for technical and non-technical audiences, with the energy to support an inclusive team.
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