FP&A and Systems Analyst

Hays Accounts and Finance
Oxford, Oxfordshire, United Kingdom
Last month
£55,000 – £75,000 pa

Salary

£55,000 – £75,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
20 Apr 2026 (Last month)

We are supporting a client in South‑Central Oxford with the recruitment of a Finance Systems & FP&A Analyst - a hybrid role that blends financial planning, systems ownership and data architecture across a growing international business.

This position sits at the intersection of FP&A, finance systems and data management. The successful candidate will not only support budgets, forecasts and commercial insight, but also act as the architect and custodian of the underlying data structures, ERP configuration and reporting tools that power financial decision‑making.It's an ideal opportunity for someone who enjoys variety, thrives in a fast‑moving environment and wants to influence how finance systems and data evolve as the business scales.

Oxford-based - 2 Days Per week on-site

Up to £75,000

Key Responsibilities

FP&A & Commercial Insight

Maintain and enhance the company's core financial model, ensuring accuracy, scalability and alignment with new tools and AI capabilities

Standardise planning processes across departments to eliminate silos and improve consistency

Lead the technical delivery of annual budgets and rolling forecasts, challenging assumptions where needed

Provide deep‑dive analysis into business performance, delivering clear insight to senior leadershipSystems Architecture, Development & Integrity

Act as functional lead for the ERP and connected finance tools, ensuring structures and master data support business complexity

Identify inefficiencies and design system‑based automation solutions (e.g., automated reconciliations, data triggers)

Work with non‑finance teams to ensure operational data flows accurately into finance systems

Create a "single source of truth" across the organisationData Engineering & Business Intelligence

Develop and automate reporting using tools such as Power BI, Jet Reports or similar

Build dashboards to support day‑to‑day decision‑making

Ensure all departments understand how data structures map into financial reporting

Maintain strong data governance and drive improvements in data quality and storageQualifications & Experience

Professional accounting qualification (ACA/ACCA/CIMA) preferred; part‑qualified with strong experience also considered

5+ years in financial analysis or finance systems roles

Experience delivering full budget cycles and forecasting in a dynamic environment

Strong ERP experience (Dynamics, Oracle, SAP, Sage) and BI tools (Power BI, Tableau)

Comfortable working with non‑finance teams to translate operational activity into financial outputs

Understanding of relational databases and financial data structures

Confident working in a fast‑paced, evolving environment with high autonomyHays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.