National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Finance Analyst

East Dereham
3 weeks ago
Applications closed

Related Jobs

View all jobs

Finance Analyst

Senior Finance Analyst

Junior Finance Analyst

Quantitative Finance Analyst

Quantitative Finance Analyst

Data Engineer-II, Fintech

NXTGEN are working with a well-established, growing business who are looking to appoint a Data Analyst to support their finance and leadership teams. This is a fantastic opportunity for someone looking to develop their analytical skills in a fast-paced commercial environment, with direct exposure to directors and senior stakeholders.

As a Data Analyst, you'll play a key role in turning complex data into meaningful insight, supporting key business decisions across multiple departments. The role is offered on a part-time basis (3 days per week) or a full time basis (5 days a week) with 2 days working from home, for a 6-12 month fixed-term contract. However this role is very likely to go permanent.

This Data Analyst position would suit someone early in their analytics or finance career who is confident working with Excel and is eager to gain hands-on experience in a commercial setting.

Key Responsibilities:

Produce regular data and financial reports to support business performance monitoring
Use Excel (including VLOOKUPs and Pivot Tables) to manage and analyse large data sets
Identify and explain trends, variances, and key metrics to senior stakeholders
Work with directors and department leads to support data-driven decision making
Assist in budgeting and forecasting processes with insightful reporting
Respond to ad hoc data requests and support ongoing improvement projectsWe're looking for someone with strong Excel skills, including confidence using VLOOKUPs, Pivot Tables, and general data manipulation. You'll need to have a strong analytical mindset with excellent attention to detail, as well as clear communication skills and the confidence to engage with senior stakeholders. A proactive, can-do attitude and a genuine desire to learn are essential. Previous experience in a data or finance-related role, including internships or placements, would be highly beneficial.

This is a brilliant opportunity to gain exposure within a commercial finance team and to contribute to a growing business making real strides in its sector. You'll join a supportive environment where your insights will make a genuine impact

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.