At a Glance
- Tasks: Analyse big data to provide insights and solve business challenges.
- Company: Dynamic company focused on leveraging data for impactful decisions.
- Benefits: Competitive salary, flexible hours, and opportunities for growth.
- Why this job: Make a real difference by turning complex data into clear insights.
- Qualifications: Degree in Statistics or Applied Mathematics, or equivalent experience.
- Other info: Join a vibrant team passionate about data and innovation.
The predicted salary is between 28800 - 48000 Β£ per year.
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.
Responsibilities
- Understand the day-to-day issues that our business faces, which can be better understood with data
- Compile and analyze data related to business issues
- Develop clear visualizations to convey complicated data in a straightforward fashion
Qualifications
- Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
Data Analyst (FCS94) in Manchester employer: Arts Council England
Contact Detail:
Arts Council England Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Analyst (FCS94) in Manchester
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use real-world examples to demonstrate how you've tackled business issues with data β this will make you stand out!
β¨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your analytical methods and how you visualise data. Practising common interview questions can also help you feel more confident.
β¨Tip Number 4
Donβt forget to apply through our website! We love seeing applications directly from candidates who are passionate about data. Plus, it gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Data Analyst (FCS94) in Manchester
Some tips for your application π«‘
Show Your Passion for Data: When writing your application, let your enthusiasm for big data and analytics shine through. Share specific examples of how you've used data to solve problems or provide insights in previous roles.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight relevant experience that aligns with the job description. We want to see how your skills in statistics or applied mathematics can directly benefit our team.
Be Clear and Concise: Just like the visualisations we love to create, your application should be straightforward and easy to understand. Avoid jargon and keep your language simple to convey your points effectively.
Apply Through Our Website: We encourage you to submit your application through our website. Itβs the best way for us to receive your details and ensures youβre considered for the role. Plus, it shows youβre keen on joining our team!
How to prepare for a job interview at Arts Council England
β¨Know Your Data
Before the interview, brush up on your knowledge of data analysis techniques and tools. Be prepared to discuss specific projects where you've used data to solve business problems, as this will show your passion for big data and analytics.
β¨Visualisation Skills Matter
Since the role involves developing clear visualisations, practice explaining complex data in simple terms. Bring examples of your work that showcase your ability to create effective visualisations, as this will demonstrate your capability to convey complicated data straightforwardly.
β¨Understand the Business
Research the company and its industry to understand the day-to-day issues they face. This will help you tailor your answers to show how your analytical skills can directly benefit their business, making you a more attractive candidate.
β¨Ask Insightful Questions
Prepare thoughtful questions about the company's data challenges and how they currently use analytics. This not only shows your interest in the role but also gives you a chance to demonstrate your analytical mindset and how you can contribute to solving their issues.