Central Employment
Head of Performance & Analytics

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Central Employment are working in partnership with one of the region's most established and forward-thinking Digital Performance Agencies. They have a new, exciting, and industry-leading opportunity for a Head of Performance & Analytics.
This role is responsible for turning data, AI, and automation into clear commercial advantage - improving efficiency, effectiveness, and results across channels. You will not run campaigns. You will shape how decisions are made, using insight, modelling, and experimentation to drive measurable growth for our clients.
This is a senior, strategic role for someone who understands both advanced analytics and real-world performance marketing - and can bridge the gap between the two.
Key Responsibilities
- Own the cross-channel measurement framework across PPC, SEO, Content, and Outreach
- Define and maintain a single source of truth for performance reporting
- Lead attribution modelling and performance interpretation (accepting real-world limitations)
- Translate complex data into clear, actionable insight for channel leads and clients
- Design and deploy AI-driven models and automations to:
- Identify high-performing audiences, creatives, keywords, and content themes
- Predict performance trends, saturation points, and diminishing returns
- Improve budget allocation and prioritization across channels
- Integrate AI tooling with advertising platforms, analytics stacks, and internal systems
- Evaluate emerging AI technologies and apply them pragmatically (not experimentally)
- Own the agency-wide experimentation roadmap
- Design structured tests with clear hypotheses, success criteria, and learning outcomes
- Introduce advanced testing methodologies (e.g., multi-armed bandits, automation-led testing)
- Ensure learnings are embedded back into channel strategies, not left as theory
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.
Cross-Channel Enablement & Influence
- Act as a strategic partner to PPC, SEO, Content, and Outreach team members
- Create performance feedback loops between channels
- Challenge assumptions and surface opportunities teams may miss
- Provide clear recommendations that channel leads are expected to action or challenge with evidence
- Support senior client conversations with insight, forecasting, and performance rationale
- Help clients understand why performance is moving, not just what happened
- Drive measurable improvements in blended CPA, ROAS, efficiency, and scalability
- Ensure AI and automation directly support commercial outcomes, not vanity metrics


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Required Experience & Skills
Essential
- Strong background in performance marketing analytics, data science, or growth analytics
- Proven experience working across multiple channels (PPC, SEO, content, digital PR)
- Advanced skills in data analysis and modelling (Python, SQL essential)
- Experience with GA4, BigQuery, Looker (or similar BI tools)
- Understanding of ad platform mechanics and APIs (Google, Meta, etc.)
- Commercial mindset - able to balance statistical rigour with business reality
Desirable
- Experience implementing AI or ML models in marketing environments
- Familiarity with automation tools, cloud data platforms, and LLMs for analysis
- Agency experience or working in fast-paced, client-facing environments
- Experience designing experimentation frameworks or predictive models
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