Finance Data Analyst

Finance Data Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Support budgeting, forecasting, and reporting while analysing large datasets.
  • Company: A growing engineering and services group with a focus on innovation.
  • Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
  • Why this job: Make an impact by influencing financial decisions and working on strategic projects.
  • Qualifications: Qualified accountant with strong management accounting and SQL skills.
  • Other info: Collaborate closely with senior leaders and operational teams.

The predicted salary is between 36000 - 60000 £ per year.

A well-established and growing engineering and services group is looking for a Financial Data Analyst to join its finance team. The business operates nationally and is investing heavily in its systems, reporting capability and long-term growth plans. As part of this, the finance function is becoming more forward-looking, with a stronger emphasis on insight, performance and data-driven decision-making.

This role offers a genuinely varied mix of finance and data. You’ll support budgeting, forecasting and monthly reporting, while also working with large datasets to understand what’s driving performance across different parts of the business. You’ll be involved in both day-to-day financial analysis and bigger strategic projects, including M&A activity and market evaluation. It’s a role with plenty of visibility, working closely with senior leaders and operational teams, and influencing how decisions are made.

What you’ll be doing:

  • Supporting budgeting, forecasting and long-term planning
  • Producing monthly and quarterly performance reporting
  • Building and maintaining financial models
  • Using SQL to extract and analyse data from multiple systems
  • Creating automated reports and dashboards
  • Reviewing operational and commercial drivers such as utilisation, margins and efficiency
  • Supporting acquisition work, including due diligence and valuation modelling
  • Carrying out market and competitor analysis

What we’re looking for:

  • A qualified accountant (ACA / ACCA / CIMA)
  • Strong management accounting or FP&A experience
  • Confident working with large datasets
  • Good SQL and advanced Excel skills
  • Someone commercially minded who can explain numbers clearly to non-finance colleagues

Finance Data Analyst employer: Pure Resourcing Solutions

Join a dynamic and forward-thinking engineering and services group that prioritises employee development and innovation. As a Finance Data Analyst, you'll benefit from a collaborative work culture that encourages insight-driven decision-making and offers opportunities for professional growth through involvement in strategic projects. With a strong focus on investing in systems and reporting capabilities, this role provides a unique chance to influence business performance while working closely with senior leaders in a supportive environment.
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Contact Detail:

Pure Resourcing Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Finance Data Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the finance and data analysis field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your financial models, SQL queries, and any dashboards you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills. Be ready to discuss how you've used SQL and Excel in real-world scenarios. We want to see how you can turn data into actionable insights!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Finance Data Analyst

Financial Analysis
Budgeting
Forecasting
Monthly Reporting
Data Analysis
SQL
Advanced Excel Skills
Financial Modelling
Due Diligence
Valuation Modelling
Market Analysis
Competitor Analysis
Communication Skills
Management Accounting
FP&A Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Finance Data Analyst role. Highlight your experience with budgeting, forecasting, and working with large datasets. We want to see how your skills align with what we're looking for!

Showcase Your SQL Skills: Since SQL is a key part of this role, don’t forget to showcase your SQL skills in your application. Mention specific projects where you’ve used SQL to extract and analyse data, as this will really catch our eye.

Be Clear and Concise: When writing your cover letter, be clear and concise about why you’re a great fit for the role. Use straightforward language to explain your experience and how it relates to the job description. We appreciate clarity!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll get your application directly into our system. Don’t miss out on this opportunity!

How to prepare for a job interview at Pure Resourcing Solutions

✨Know Your Numbers

As a Finance Data Analyst, you'll be expected to handle large datasets and financial models. Brush up on your SQL and Excel skills before the interview. Be ready to discuss how you've used these tools in past roles to drive insights and support decision-making.

✨Understand the Business

Familiarise yourself with the company’s operations and recent developments in the engineering and services sector. This will help you connect your financial analysis skills to their specific needs, showing that you can contribute to their long-term growth plans.

✨Prepare for Scenario Questions

Expect questions that assess your problem-solving abilities, especially in budgeting and forecasting. Prepare examples from your experience where you’ve successfully navigated complex financial scenarios or contributed to strategic projects like M&A.

✨Communicate Clearly

Since you'll be working closely with non-finance colleagues, practice explaining complex financial concepts in simple terms. Think of examples where you've had to present data-driven insights to stakeholders and how you made those discussions impactful.

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