Financial Analyst

Dallas Holdings - Pret A Manger
Leicester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Data Scientist within Asset & Wealth Management (Senior Associate)

Data Scientist within Asset & Wealth Management (Senior Associate)

Data Scientist - Contract

Data Science Manager


RESPONSIBILITIES

  • Support the Finance Manager in driving productivity & profitability across the US and UK business
  • Assist timely and accurate Budgets and Forecasts for P&L (up to GP)
  • Support monthly forecast process, and continuous Operations business partner collaboration
  • Produce automated, timely and accurate weekly reporting including insight and analysis in trends, while monitoring key KPIs on stores performance
  • Assist with financial modelling improvements on existing reporting, planning, and forecasting to enhance process efficiency
  • Independently align financial and operational analyses with your business partners, challenging business partner assumptions when necessary
  • Develop a strong & trusted partnership with accounting team seeking efficiencies in month end activities and transactional reporting

PERSONAL PROFILE

  • Finance and Accounting degree or Data Science degree
  • Partly Qualified/Newly Qualified Accountant
  • Prior experience with SAP, AWS, and Oracle
  • Retail experience beneficial
  • Strong communication skills – written and oral
  • Excellent Excel Skills with modelling experience
  • Excellent analytical and problem-solving skills

MEASURES OF SUCCESS

  • Completion of budget/forecast process within the dedicated timeframe to a high level of accuracy
  • Robust and timely month end close including appropriate detail for key drivers
  • Timely, accurate and relevant reporting, insight and analysis
  • Improvements or enhancements made to existing files that become faster and more efficient

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.