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Financial Analyst

Financial analysts look at money and numbers to help businesses make smart decisions. They spot patterns in data and explain what it means, so company leaders can plan for the future.

Financial Analyst

60

Finance & Accounting

AI IMPACT
AI CAN DO60%moving to95%
THE DOOR, NOWC
THE DOOR, 20 YRSE
STARTING PAY£25,000 - £35,000
NO MOATNo physical, legal or personal barrier protects this work from software.
This work is being absorbed by AI
AI already does much of this work and nothing structurally requires a human: no licence, no physical task, no relationship at the core. Expect fewer people in higher-judgment roles: enter as the person directing the tools, not competing with them.

The role

As a financial analyst, you work with numbers and data to help a business understand its money situation. You might analyze how much profit a company is making, forecast what will happen next year, or compare how different departments are spending money. Your job is to take complicated financial information and turn it into clear, useful reports that help people make decisions.

Your work lives in the world of spreadsheets and financial software, but it's not just number-crunching. You'll chat with people across the company - in sales, operations, marketing - to understand what's actually happening on the ground. You'll spot when something doesn't add up, dig into why, and write reports showing what you've found. The work can be fast-paced and demanding, especially during busy times like company budgeting. But if you like solving puzzles with numbers and seeing how your analysis helps a business plan its future, this job is really satisfying.

Daily responsibilities

  • Collect and analyze financial data to identify trends and forecast future performance.
  • Prepare detailed reports and presentations for stakeholders to communicate financial insights.
  • Collaborate with cross-functional teams to develop budgets and financial strategies.
  • Monitor and evaluate financial performance against budgets and forecasts.
  • Conduct variance analysis to explain discrepancies between projected and actual results.
  • Support investment decisions by conducting risk assessments and financial modeling.
  • Stay updated on market trends and economic conditions to inform strategic planning.

Does a degree help here?

A UK degree, particularly in Mathematical Sciences or Finance, provides a robust foundation in analytical skills and quantitative reasoning, which are essential for success as a Financial Analyst. UK universities are renowned for their rigorous academic standards and industry connections, giving graduates a competitive edge in the job market.

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AI EXPOSURE = the share of a job's day-to-day tasks AI can already do today, from the same exposure engine used across this site (Anthropic labour market research, 2026, observed real-world AI usage by occupation). Higher means more exposed. It is a measurement of now, not a prediction. THE DOOR = how hard the job is to get into, grade A (easy) to E (extremely hard), from each career's published forecast (OpenAI, "The AI Jobs Transition Framework", Richmond 2026, CC BY 4.0). A card marked MOAT NOT YET CLASSIFIED has a real exposure score but no entry yet in our moat register, so we make no claim about what structurally protects it. Scorecard grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions. Salary and pathway figures are each career's own published profile. Careermash is a service provided by What School Ltd.

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