Finance Data Analyst in Uxbridge

Finance Data Analyst in Uxbridge

Uxbridge Full-Time 42000 - 42000 £ / year (est.) Home office (partial)
Michael Page

At a Glance

  • Tasks: Analyse financial data to uncover trends and support strategic decision-making.
  • Company: Medium-sized retail company focused on quality products.
  • Benefits: Competitive salary, hybrid working, and professional development opportunities.
  • Other info: Well-connected Uxbridge location with a collaborative work environment.
  • Why this job: Make a real impact by providing data-driven insights in finance.
  • Qualifications: Strong background in finance or data science with advanced Excel skills.

The predicted salary is between 42000 - 42000 £ per year.

As a Finance Data Analyst in the retail industry, you will play a pivotal role in providing data-driven insights to support financial decision-making. This permanent position is based in Uxbridge and requires a detail-oriented individual with a strong understanding of accounting and finance processes.

Responsibilities:

  • Examine financial data to uncover trends, variances, and improvement opportunities
  • Produce consistent finance and performance reports
  • Support the creation of KPI and performance reporting packs
  • Evaluate revenue streams, cost structures, and key business drivers
  • Develop and maintain detailed reports to support strategic decision-making
  • Assist in building financial models to forecast future outcomes
  • Derive clear, actionable insights from large datasets
  • Identify and implement process improvements, including automation and AI-driven solutions
  • Present financial insights clearly to both technical and non-technical audiences

Profile:

  • Strong academic background in accounting, finance, data science, or a related discipline
  • Advanced Excel skills, including data analysis, pivot tables, and structured reporting; experience with Power BI is advantageous but not essential
  • Proficient in financial analysis and reporting using spreadsheets and database tools
  • Experienced in managing and interpreting large datasets
  • Sound understanding of accounting standards and financial regulations
  • Strong analytical and problem-solving abilities with high attention to detail
  • Effective communicator, able to present insights clearly to a range of audiences

Job Offer:

  • Salary: 42,000 per annum
  • Permanent position
  • Competitive benefits package (TBC)
  • Uxbridge location, well-connected by public transport
  • Hybrid working
  • Professional development opportunities

Finance Data Analyst in Uxbridge employer: Michael Page

As a medium-sized company in the retail industry, we pride ourselves on fostering a collaborative and innovative work culture that values data-driven insights and professional growth. Located in Uxbridge, our team enjoys a well-connected environment with hybrid working options and a competitive benefits package, ensuring a balanced work-life experience while empowering employees to develop their skills and advance their careers.

Michael Page

Contact Details:

Michael Page Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to people in the finance and retail sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.

Tip Number 2

Prepare for interviews by practising common finance-related questions. We recommend using real data sets to showcase your analytical skills. Show them you can derive actionable insights from numbers!

Tip Number 3

Don’t just apply anywhere; focus on companies that align with your values. Check out our website for roles that excite you, and tailor your approach to each company’s culture and mission.

Tip Number 4

Follow up after interviews! A quick thank-you email can keep you top of mind. Mention something specific from your conversation to show you were engaged and interested.

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

Data Analysis
Financial Analysis
Advanced Excel Skills
Power BI
Reporting Skills
Understanding of Accounting Standards
Financial Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Finance Data Analyst role. Highlight your experience with financial analysis, data management, and any relevant tools like Excel or Power BI. 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 explain why you're passionate about finance and data analysis. Share specific examples of how you've used data to drive decisions in the past. We love a good story!

Show Off Your Analytical Skills:In your application, don’t forget to showcase your analytical abilities. Mention any projects where you’ve derived insights from large datasets or improved processes. We’re all about data-driven decision-making here at StudySmarter!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Michael Page

Know Your Numbers

Brush up on your financial knowledge and be ready to discuss key concepts in accounting and finance. Familiarise yourself with common financial metrics and how they apply to the retail industry, as this will show your understanding of the role.

Excel Like a Pro

Since advanced Excel skills are crucial for this position, practice using pivot tables and data analysis functions. Be prepared to demonstrate your proficiency during the interview, perhaps by discussing a past project where you used these skills to derive insights.

Tell a Data Story

Prepare to present a clear narrative around your past experiences with data analysis. Think about how you can explain complex financial insights in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.

Showcase Your Problem-Solving Skills

Be ready to discuss specific examples where you've identified process improvements or implemented automation solutions. Highlight your analytical thinking and attention to detail, as these are key traits for a successful Finance Data Analyst.