At a Glance
- Tasks: Deliver Salesforce solutions and enhance the Recruitment and Admissions Systems.
- Company: Join the prestigious London School of Economics and Political Science.
- Benefits: Competitive salary, training, pension schemes, and hybrid working options.
- Other info: Fixed term role with great career growth potential.
- Why this job: Make a difference in education while developing your Salesforce skills.
- Qualifications: Experience with Salesforce administration and development is essential.
The predicted salary is between 43277 - 51714 £ per year.
The London School of Economics and Political Science (LSE) is seeking a Salesforce Administrator/Developer in the ARD Systems team. This role involves delivering Salesforce solutions across the School, contributing to the Recruitment and Admissions Systems Programme.
With a salary ranging from £43,277 to £51,714, plus a £6,000 market supplement, the post offers a fixed term appointment for 12 months. LSE provides excellent training, occupational pension schemes, and hybrid working opportunities.
Salesforce Admin/Developer for University ARD Systems in London employer: LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
The London School of Economics and Political Science (LSE) is an exceptional employer, offering a dynamic work environment that fosters professional growth and development. With competitive salaries, comprehensive training programmes, and the flexibility of hybrid working, LSE prioritises employee well-being and career advancement, making it an ideal place for those looking to make a meaningful impact in the education sector.
Contact Details:
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Salesforce Admin/Developer for University ARD Systems in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE.
We think you need these skills to ace Salesforce Admin/Developer for University ARD Systems in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE’s attention and show the tangible impact of your work.
How to prepare for a job interview at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE.
