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Data and Analytics Lead

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Data & Analytics Lead
Location: Office Based / Hybrid – Cheshire
Salary: £70,000–£80,000 + benefits
Reports to: IT Director
Overview
Our client is a fast-growing, privately-backed group of financial services businesses, built through an active buy-and-build acquisition strategy and now entering a rapid growth phase. This newly created role is the organisation's first dedicated data hire, tasked with building its central Data & Analytics function from the ground up and working directly with the executive and senior leadership team.
Role
A deliberately hands-on role: approximately 60% delivery / 40% strategic today, shifting towards strategy as the function and a team are built around the successful candidate. Not a Head of Data role at the outset – the candidate will do much of the work themselves while carrying genuine influence over data strategy and a clear path to leadership. Works across the organisation's core adviser/CRM, client portal and finance systems, with Power BI as the reporting layer and an enterprise data platform on the roadmap. A growing part of the role is defining, and in time leading, the migration of acquired firms' data into the group's systems.
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.
Key Responsibilities
- Clean, reconcile and integrate data across core systems; build day-to-day KPIs, dashboards and MI in Power BI (assets under advice, flows, revenue, adviser metrics) for the Board and finance team, from a single trusted source.
- Own data quality – define and apply the checks, controls and audit evidence that underpin a trusted single source of truth, Consumer Duty and regulatory reporting.
- Build and maintain data pipelines and reconciliation logic across the core adviser platform, client portal, finance system and provider platforms.
- Define, and once established lead end-to-end, a repeatable process for migrating each newly acquired firm's data into the group's systems (profiling, mapping, cleansing, reconciliation, cutover).
- Contribute to data strategy – platform selection, target data model, governance – and help define and, in time, lead the growing data team.
Skills & Experience


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Essential
- Strong, hands-on SQL and data manipulation skills.
- Genuine depth in Power BI – data modelling and DAX, not just report-building.
- Experience building and maintaining data pipelines, reconciliation and integrations.
- Track record producing reporting, KPIs and MI for business and finance stakeholders.
- Sound data quality/governance instincts, and the ambition to grow into a team-leading role.
- Experience of the Snowflake data platform.
- Financial-services data experience (assets under advice/flows, Consumer Duty); Python; a finance/management-reporting background; data migration or system onboarding experience; other platforms (Microsoft Fabric/Azure, Databricks).
Personal Attributes
- Genuinely hands-on yet able to think strategically.
- Curious, ambitious and self-directed – comfortable being the first data hire and building from the ground up.
- Collaborative and credible with finance and senior stakeholders.
- Pragmatic, delivery-focused and comfortable with ambiguity in a fast-growing, acquisitive business.
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