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Head of Data & Insights
Permanent
Remote with Travel when required
Overview
An experienced Data Analyst / Analytics Engineer who has been hands-on in building trusted data products, reporting layers and insight capability, and is now ready to step into a leadership role. The Head of Data & Insights will own the development of data governance, to strengthen data management and governance across the Group, improving the underlying data foundation by strengthening business metadata, data quality tracking and remediation and end-to-end data lineage. Ultimately this role will help colleagues to make better decisions through accurate, timely and commercially meaningful insight.
The role will strengthen data management and governance across the Group, improving the underlying data foundation by strengthening business metadata, data quality tracking and remediation and end-to-end data lineage.
What you'll do
- Oversee all Analytics and Reporting activities, delivering on data strategy - established based on underlying platforms, integrations including the data lake
- Partner with functional leads, particularly Finance and Marketing, to deliver both board-level and operational Insight
- Prioritisation is critical – you will maintain the backlog of initiatives for effective organisational prioritisation, ie aligned to clear purpose and to maximise benefits
- Track the use of data sets, associated platforms and reports to optimise where effort is spent for continual improvement and advancement.
- Minimise legacy and technical debt, ensuring a lean and face-paced environment.
- Monitor the performance of the data platforms including associated integrations – working on the preparation of future integrations, definition and consolidation of data sets in systems
- Develop tooling and documentation, developing data champions in teams that can self-serve data and, in agreed instances, create dashboards guided by this role.
- Lead our small central team of analysts, taking responsibility for their professional development
- Contribute hands-on to a growing data model (dbt), leading by example as well as coaching
- Develop a foundational data layer to enable AI use cases
- Own the definition and ongoing improvement of core business metrics, ensuring consistent interpretation across Finance, Marketing, Operations and the leadership team.
- Establish data governance principles covering data quality, ownership, documentation, definitions, lineage and appropriate access controls.
- Work closely with Technology, Systems and business stakeholders to ensure data platforms are reliable, scalable and aligned to the wider digital and AI roadmap.
- Translate complex data into clear insight, narrative and recommendations that can be understood and acted on by senior stakeholders.
- Create a culture of self-service insight by setting standards, building reusable data assets and supporting teams to consume data confidently and responsibly.
- M&A is core to our work across all our functions – this provides opportunity for streamlining data migration work.
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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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 we're looking for


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- Commercially-oriented: comfortable partnering with C-suite stakeholders to understand needs and priorities
- Hands-on technically: it's a small team and you will need to model data and set technical standards
- Expert in data modelling, dbt and cloud data-warehouses (Snowflake / BigQuery / Databricks)
- Track record in producing analytics and reporting that moves a commercial needle
- Bonus: experience with modelling Financial statements, ARR Bridges / Snowballs, and PowerBI
- Strong communicator who can convert business questions into analytical requirements and explain technical trade-offs in plain English.
- Confident setting standards for data quality, reporting governance, dashboard design, documentation and metric definitions.
- Able to balance hands-on delivery with team leadership, coaching analysts while still contributing directly where needed.
- Experience working with data from finance, CRM, practice management, marketing or operational systems would be highly valuable.
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