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- Tasks: Manage and interpret data, create complex spreadsheets, and present insights to management.
- Company: A growing service-based SME in Cheltenham with a focus on data-driven decisions.
- Benefits: Competitive salary, health care, and parking included.
- Why this job: Join a dynamic team and make an impact through data analysis.
- Qualifications: Advanced Excel skills and experience in analysing large datasets.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 30000 - 35000 £ per year.
A growing service-based SME in Cheltenham is seeking an Excel Data Analyst to manage and interpret data effectively. The role involves creating and maintaining complex spreadsheets, performing data cleansing, and presenting insights to management.
The ideal candidate will have advanced proficiency in Excel, including formulas and pivot tables, and a proven ability to analyze large datasets.
This position offers a competitive salary within the range of £30,000-£35,000 and excellent benefits, including health care and parking.
Excel Data Analyst — Insights & Dashboards (Cheltenham) employer: Kelly
Contact Detail:
Kelly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Excel Data Analyst — Insights & Dashboards (Cheltenham)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend local meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your Excel skills! Create a portfolio showcasing your best spreadsheets and dashboards. This will not only demonstrate your proficiency but also give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions. Practice explaining your thought process when working with large datasets and how you derive insights from them. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Excel Data Analyst — Insights & Dashboards (Cheltenham)
Some tips for your application 🫡
Show Off Your Excel Skills: Make sure to highlight your advanced proficiency in Excel right from the get-go. Use specific examples of how you've used formulas and pivot tables in past roles to manage and interpret data effectively.
Be Clear and Concise: When writing your application, keep it straightforward. We want to see how you can present insights clearly, just like you would in a dashboard. Avoid jargon and focus on what makes you the best fit for the role.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the job description. Mention your experience with data cleansing and how it relates to the needs of our growing SME.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Kelly
✨Master Your Excel Skills
Before the interview, brush up on your Excel skills, especially formulas and pivot tables. Be ready to demonstrate your proficiency with real examples from your past work, as this will show that you can handle the complex spreadsheets required for the role.
✨Know Your Data Insights
Prepare to discuss how you've interpreted data in previous roles. Think of specific instances where your analysis led to actionable insights. This will help you showcase your ability to present data effectively to management.
✨Practice Data Cleansing Scenarios
Since data cleansing is a key part of the job, consider practising some common data issues you might encounter. Be ready to explain your approach to cleaning and preparing data for analysis, as this will highlight your attention to detail.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the company’s data processes and tools. This shows your genuine interest in the role and helps you understand how you can contribute to their success.