Finance Data Analyst in Gloucester

Finance Data Analyst in Gloucester

Gloucester Temporary 35000 - 35000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse financial data, build Power BI dashboards, and deliver actionable insights.
  • Company: Leading tech organisation with a focus on data-driven decision making.
  • Benefits: Career development, exposure to large datasets, and a collaborative environment.
  • Other info: Join a supportive team and gain valuable experience in a fast-paced business.
  • Why this job: Make a real impact by turning complex data into clear insights for strategic decisions.
  • Qualifications: Strong data analysis skills, advanced Excel, and Power BI experience.

The predicted salary is between 35000 - 35000 € per year.

Location: Gloucester – Onsite 5 days per week

Salary: £35,000

Contract: 9-Month Fixed Term Contract

Benefits: Career development, exposure to large-scale business data, collaborative environment

Our client, a leading organisation within the technology sector, is hiring a Finance Data Analyst to support data-driven decision making across the business. This role is heavily focused on data analysis, reporting, and delivering actionable insights through Power BI and financial reporting tools. You’ll play a key role in helping stakeholders understand business performance, identify trends, and improve operational efficiency through meaningful analysis.

Working closely with senior finance stakeholders and operational teams, you’ll turn complex data into clear commercial insights that support budgeting, forecasting, and strategic decisions.

What you’ll do:

  • Analyse large volumes of financial and operational data to identify trends, risks, and opportunities
  • Build and maintain Power BI dashboards and reports to support business performance tracking
  • Deliver detailed analysis and commentary around variances against budget and forecast
  • Support month-end reporting, accruals, prepayments, and journal entries
  • Work with multiple data sources and systems to improve reporting accuracy and visibility
  • Provide stakeholders with meaningful insights to support commercial and operational decisions
  • Identify opportunities to improve reporting processes, automation, and efficiency
  • Collaborate with finance, billing, and operational teams to ensure data accuracy and consistency
  • Support audit and year-end processes where required

You’ll work closely with Finance leadership and wider business teams to improve reporting capability and help shape a more insight-led decision-making culture.

What we’re looking for:

  • Strong experience analysing data and delivering actionable business insights
  • Advanced Excel skills and strong Power BI capability
  • Experience building dashboards, reports, and visualisations for stakeholders
  • Ability to interpret complex datasets and communicate findings clearly
  • Experience working across multiple systems and data sources
  • Strong attention to detail and analytical thinking
  • Understanding of finance processes including accruals and prepayments would be beneficial
  • AAT qualification or finance background desirable

The ideal candidate will be commercially minded, naturally curious, and confident working with stakeholders across the business. You’ll enjoy solving problems, improving processes, and turning data into actionable insight.

Why join?

  • Opportunity to play a key role in improving reporting and insight capability
  • Strong focus on Power BI and data-led decision making
  • Exposure to large and varied datasets across multiple business functions
  • Collaborative and supportive team environment
  • Excellent opportunity to gain experience within a fast-paced commercial business

Finance Data Analyst in Gloucester employer: IMT Resourcing

Join a leading organisation in the technology sector as a Finance Data Analyst in Gloucester, where you'll thrive in a collaborative environment that prioritises career development and data-driven decision making. With a strong focus on Power BI and exposure to large-scale business data, this role offers you the chance to turn complex datasets into actionable insights while working closely with senior finance stakeholders. Experience a supportive team culture that encourages problem-solving and process improvement, making it an excellent place for meaningful and rewarding employment.

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Contact Detail:

IMT Resourcing Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Finance Data Analyst in Gloucester

Tip Number 1

Network like a pro! Reach out to people in the finance and data analysis field on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio showcasing your Power BI dashboards and any financial reports you've worked on. This is a great way to demonstrate your analytical prowess and give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common finance and data analysis questions. Practice explaining complex datasets in simple terms, as you'll need to communicate findings clearly to stakeholders. We recommend doing mock interviews with friends or using online platforms.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that Finance Data Analyst role!

We think you need these skills to ace Finance Data Analyst in Gloucester

Data Analysis
Power BI
Financial Reporting
Dashboard Creation
Excel
Analytical Thinking
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the Finance Data Analyst role. Highlight your experience with data analysis, Power BI, and any relevant finance processes. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our team. Be sure to mention specific examples of your past work that align with the job description.

Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Include examples of how you've turned complex data into actionable insights or improved reporting processes in previous roles. We love seeing real-world applications!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do!

How to prepare for a job interview at IMT Resourcing

Know Your Data Tools

Make sure you brush up on your Power BI skills before the interview. Be ready to discuss how you've used it in past roles, and maybe even prepare a mini demo or examples of dashboards you've built. This will show that you're not just familiar with the tool but can leverage it effectively.

Understand Financial Processes

Since the role involves financial reporting, it's crucial to have a solid grasp of finance processes like accruals and prepayments. Do some research or review your knowledge on these topics so you can confidently discuss how they relate to data analysis during the interview.

Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems using data. Think about past experiences where you identified trends or made recommendations based on your analysis. Practising these scenarios will help you articulate your thought process clearly.

Show Your Collaborative Spirit

This role requires working closely with various teams, so be prepared to talk about your experience collaborating with stakeholders. Share specific examples of how you've communicated complex data insights to non-technical audiences, as this will demonstrate your ability to bridge the gap between data and decision-making.