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- Tasks: Transform data into insights that drive smarter business decisions.
- Company: Join a dynamic global team focused on impactful data analysis.
- Benefits: Enjoy a contributory pension, healthcare perks, and exclusive discounts.
- Why this job: Make a real impact by analysing data to shape business strategies.
- Qualifications: Bachelor's degree in relevant field and experience in data analysis.
- Other info: Access career growth programmes and wellness classes while working remotely.
The predicted salary is between 28800 - 48000 £ per year.
As the Data Analyst, you'll play a key role in turning data into insight that drives smarter decisions across the business in one of our exciting global contracts. You'll thrive on digging into complex datasets, creating clear and impactful reports, and delivering high-quality analysis to tight deadlines. Working closely with the Global Partnerships team and key stakeholders, you'll help shape best practice through robust sales and retention analysis.
Responsibilities
- Collect, validate, and analyse data from multiple sources including Dynamics 365 (CRM), third-party databases, and surveys.
- Produce high-quality reports, dashboards, and presentations that clearly communicate insights, trends, and recommendations.
- Deliver accurate and timely analysis to support sales, retention, safety, and sustainability initiatives.
- Identify patterns, risks, and opportunities within data, translating findings into actionable insights for stakeholders.
- Collaborate with global country teams, supporting capability building through training and shared best practices.
Qualifications
- Bachelor's degree in a relevant field such as statistics, mathematics, business, or analytics.
- Proven experience in data analysis, ideally within sales, retention, or commercial environments.
- Strong capability in Excel and PowerBI (or similar data visualisation and reporting tools).
- High numerical accuracy, strong attention to detail, and a structured approach to problem solving.
- Comfortable working independently and collaboratively within cross-functional and global teams.
- Confident communicator, able to present insights clearly to both technical and non-technical audiences.
- Highly organised and deadline-driven, with the ability to manage multiple priorities.
- Proactive, curious, and passionate about using data to drive improvement.
Benefits
- Contributory pension scheme.
- Grow your career with our Career Pathways and MyLearning programmes.
- Quick access for you and your immediate family to a Digital GP, and wider healthcare benefits.
- Exclusive travel discounts with TUI, Expedia, Booking.com and many more.
- Save money on your food shop with discounts on Tesco, Sainsbury's, Morrisons and many more.
- Up to 44% off cinema tickets to enjoy your favourite blockbuster.
- Receive cash rewards every time you spend and use them on a wide range of brands.
- Un-wind with us with free wellness, mindfulness and exercise classes.
- You can share all discounts and offers with your friends and families.
Global Data Analyst employer: Restaurant Associates
Contact Detail:
Restaurant Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your experience to demonstrate how you've turned data into actionable insights.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skills perfectly!
✨Tip Number 4
Follow up after interviews with a thank-you email. It shows your enthusiasm and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’re the perfect fit for the role!
We think you need these skills to ace Global Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Global Data Analyst role. Highlight your experience with data analysis, especially in sales and retention environments. We want to see how your skills align with 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 data and how you can contribute to our team. Be sure to mention any relevant tools like Excel or PowerBI that you’re proficient in.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you’ve used them! Include examples of reports or dashboards you’ve created and the insights they provided. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best experience. 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 Restaurant Associates
✨Know Your Data Tools
Make sure you're well-versed in Excel and PowerBI, as these are crucial for the role. Brush up on your skills by creating sample reports or dashboards that showcase your ability to turn data into insights.
✨Understand the Business Context
Familiarise yourself with the company's global contracts and how data analysis impacts sales and retention. This will help you demonstrate your understanding of how your role contributes to the bigger picture during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or analyse case studies. Practice articulating your thought process clearly, as this will show your structured approach to problem-solving.
✨Showcase Your Communication Skills
Be ready to explain complex data findings in simple terms. Prepare examples of how you've communicated insights to both technical and non-technical audiences in the past, as this is key for collaborating with cross-functional teams.
