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- Tasks: Manage data and enhance integrations across various platforms for impactful research.
- Company: A leading nonprofit research publisher in the UK focused on open science.
- Benefits: Salary between £35,000-£47,000, private medical insurance, and remote work flexibility.
- Why this job: Join a mission-driven team and make a difference in the world of research.
- Qualifications: Strong analytical skills with experience in Tableau and SQL.
- Other info: Flexible working environment with opportunities for professional growth.
The predicted salary is between 35000 - 47000 £ per year.
A nonprofit research publisher in the United Kingdom seeks an Application Analyst – Data to manage data and improve integrations across various platforms. The ideal candidate will have strong analytical skills and experience with reporting tools like Tableau and SQL, and serve as a data steward for internal teams.
This role offers a salary of £35,000‑£47,000 and a comprehensive benefits package including private medical insurance and remote work flexibility.
Remote Data Application Analyst for Open Science employer: PLOS GmbH
Contact Detail:
PLOS GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Application Analyst for Open Science
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the nonprofit research publisher. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got experience with Tableau and SQL, create a mini-project or dashboard to showcase your analytical prowess. Share it on LinkedIn or during interviews to make a lasting impression.
✨Tip Number 3
Prepare for the interview by brushing up on common data-related questions. Think about how you can demonstrate your problem-solving skills and your ability to improve integrations across platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Data Application Analyst for Open Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with reporting tools like Tableau and SQL. We want to see how your background aligns with the role of a Data Application Analyst, so don’t hold back on showcasing relevant projects!
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 mission in Open Science. We love seeing enthusiasm and a personal touch, so let your personality come through.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data challenges in the past. We’re looking for someone who can manage data effectively and improve integrations, so share specific instances where you’ve made a difference!
Apply Through Our Website: We encourage you to apply directly 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 candidates who take that extra step!
How to prepare for a job interview at PLOS GmbH
✨Know Your Data Tools
Make sure you brush up on your knowledge of reporting tools like Tableau and SQL. Be prepared to discuss how you've used these tools in past roles, and think of specific examples where your analytical skills made a difference.
✨Understand Open Science Principles
Familiarise yourself with the principles of Open Science and how they relate to data management. This will show your potential employer that you're not just technically skilled but also aligned with their mission as a nonprofit research publisher.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in data integration or management and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Show Your Team Spirit
As a data steward, collaboration is key. Be ready to discuss how you've worked with internal teams in the past. Highlight your communication skills and how you ensure everyone is on the same page when it comes to data usage and reporting.
